УСТРОЙСТВО ДЛЯ КОНТРОЛЯ СНА

Группа изобретений относится к медицине. Способ контроля состояния сна человека осуществляют с помощью устройства контроля сна. При этом получают данные движения человека от устройства измерения движения. Вычисляют с помощью анализатора из данных движения данные сердцебиения, данные дыхания, данные грубых движений и данные тонких движений. Определяют с помощью классификатора в пределах временного интервала оценку неизменности частоты сердечных сокращений по данным сердцебиения, оценку регулярности дыхания по данным дыхания, размах грубого движения и размах тонкого движения. Вычисляют размах движения из данных движения. Если размах движения превышает первый порог, определяют грубое движение. Если размах движения превышает второй порог, но не превышает первый порог, определяют тонкое движение, причем второй порог меньше первого порога. Если размах движения ниже второго порога, не определяют ни тонкое, ни грубое движение. Получают с помощью классификатора сна состояние сна для данного временного ...

Speech-based biofeedback system

Intraoral tactile biofeedback methods, devices and systems for speech and language training

An intraoral method, biofeedback system and kit are provided for supplying intraoral feedback representative of a speaker's pronunciation during sound production, which feedback may be used for training and enhancing a speaker's pronunciation accuracy.

Method for providing VUI particular response and application thereof to intelligent sound box

A voice user interface receives 10 a voice instruction Cv and uses 30 physiological information to determine whether the voice instruction is abnormal. If so, then a search instruction Cs is generated and used (40,50,500), along with the voice instruction, to obtain feedback information (F1,F2) for output 60. F1 and F2 correspond to the voice and search instructions, respectively. A voice characteristic profile for a user may be created using stored 20 voice instructions, each of which may be labelled as abnormal if appropriate. Abnormality of a voice instruction may be determined by comparing its reference waveform with that of an archive. The feedback may be generated by a cloud server and may be output in voice (61) or displayed (63) form. In an embodiment a digital assistant or smart speaker responds to spoken queries and also responds to detected physiological abnormalities such as swollen vocal cords or other illnesses.

A method and device for monitoring of feeding maturation in infants.

A method, device and system for monitoring feeding maturation in premature babies comprising: measuring the acoustic response from a baby during a selected time, such as with a sensor and comparing the measured acoustic information against a train data set to determine an indication of a swallow event or non-swallow event; measuring the respiration pattern of the baby during the swallow cycle using a peak and valley model; and with swallow and respiration data determining a feeding maturity of the baby. The comparison with a train data set may involve extraction of features and classification using a speech analysis tool. The system may have a connector for connection to a monitor and a probe for engagement with a baby.

A method and device for monitoring of feeding maturation in infants.

A hand-held tool for cutting laminated glass

A hand-held tool for cutting laminated glass

DIAGNOSTIC SYSTEM

Brain stimulation system, device, arrangement and corresponding method for treating aphasia

The disclosure relates to a brain stimulation system (102), comprising: a) a computer program product, e.g. a data carrier, preferably a non-transitory data carrier, or a data stream, comprising program code (P1, P1a) which, when loaded and executed on an electronic control unit (108), provides an operation control system, or b) an electronic control unit (108) with a program code (P1, P1a) loaded on the electronic control unit (108), wherein the program code (P1, P1a), when executed on the electronic control unit (108), provides an operation control system (200), wherein the operation control system (200) is configured to control a brain training and/or stimulation session for a brain, and wherein the operation control system (200) comprises a plurality of control system functionalities, the control system functionalities comprising: - a stimulation functionality (202) which is configured to cause the electronic control unit (108) to issue a stimulation command to an electrical brain stimulation ...

SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS

System and method for detecting cognitive decline in a subject using a classification system for detecting cognitive decline in the subject based on a speech sample. The classification system is trained using speech data corresponding to audio recordings of speech from normal and cognitive decline patients to generate an ensemble classifier comprising a plurality of component classifiers and an ensemble module. Each of the plurality of component classifiers is a machine-learning classifier configured to generate a component output identifying a sample data as corresponding to a normal patient or a cognitive patient. The machine-learning classifier is generated based on a subset of available features. The ensemble module receives component outputs from all of the component classifiers and generates an ensemble output identifying the sample data as corresponding to a normal or cognitive decline patient based on the component outputs.

BIOMETRIC SENSOR DEVICE FOR DIGITAL QUANTITATIVE PHENOTYPING

A biometric sensor device system including a biometric sensor device, and a prediction computer. The biometric sensor device includes at least one camera, and a biometric sensor device processor configured to record a time synchronized communicative interaction between participants, by controlling at least one camera to record the participants over a time period, and transfer the recorded communicative interaction to the prediction computer. The prediction computer including a prediction computer processor configured to extract, from the recorded communicative interaction, a physical characteristic of each of the participants over the time period, compare the physical characteristic of at least one of the participants with the physical characteristic of at least another one of the participants over the time period, and classify or score at least one of the participants according to a predetermined classification or dimensional scoring scheme based on the comparison.

DIAGNOSTIC TECHNIQUES BASED ON SPEECH MODELS

A speech model (46) constructed from reference speech samples (44), which were produced by a subject (22) at a first time while a physiological state of the subject was known, is obtained. The model includes (i) acoustic states (48) exhibited in the reference speech samples and associated with respective local distance functions (50), and (ii) allowed transitions (52) between the acoustic states. A test speech sample (56) that was produced by the subject at a second time, while the physiological state of the subject was unknown, is received. Test-sample feature vectors (60) that quantify acoustic features of different respective portions (58) of the test speech sample are computed. Based on the local distance functions and the allowed transitions, the test speech sample is mapped to a minimum-distance sequence of the acoustic states, in response thereto, an output indicating the physiological state of the subject at the second time is generated.

BRAIN-COMPUTER INTERFACE PLATFORM AND PROCESS FOR CLASSIFICATION OF COVERT SPEECH

A device and method are provided for real-time classification of covert speech. The device comprises a plurality of sensors for capturing real-time bio-signal data for brain monitoring in response to mental tasks delivered to a user, and a brain computer interface with memory storing instructions to configure a processor to perform a method of real-time classification of covert speech. The method comprises capturing real-time bio-signal data for brain monitoring in response to mental tasks delivered to a user, pre-processing the raw bio-signal data, extracting a vector of features from the raw bio-signal data, selecting features from the vector of features, building classification model to generate classified covert speech data using the selected features, and controlling a display device with visual elements based on the classified covert speech data.

SYSTEMS AND METHODS OF PAIN TREATMENT

The invention concerns a computer-implemented method for determining a pain treatment for a person or an animal with a pain condition, comprising identifying, by a processor, a level of pain being experienced by the person or animal. The invention concerns also a method in which a level of pain experienced by the person is determined by: - obtaining a multimodal image or video the person; and - determining the level of pain, on the basis of this multimodal image or video, by means of a trained Machine Learning Algorithm. The Machine Learning Algorithm is previously trained on the basis of training multimodal image or video of different subjects, each annotated by a benchmark pain level, determined by a biometrist and/or a health care professional on the basis of extensive biometric data concerning the subject considered.

MOBILE PERSONAL SERVICES PLATFORM FOR PROVIDING FEEDBACK

Methods, systems, and apparatus, including computer program products, for generating feedback. In one aspect, a method includes receiving sensor data from a plurality of sensors, wherein at least one of the plurality of sensors is associated with a mobile device of a user; aggregating the received sensor data to generate aggregated sensor data; processing the aggregated sensor data to determine an aggregated metric; comparing the aggregated metric to a target associated with the user to determine a measure of performance; and generating feedback based on the determined measure of performance. Further, the mobile device can comprise a mobile personal services device that includes one or more of an audio sensor, a video sensor, an environmental sensor, a biometric sensor, a location sensor, an activity detector, and a health monitor. The feedback can be displayed on the mobile personal services device. The feedback also can be displayed in near real-time.

MOBILE PERSONAL SERVICES PLATFORM FOR PROVIDING FEEDBACK

Methods, systems, and apparatus, including computer program products, for generating feedback. In one aspect, a method includes receiving sensor data from a plurality of sensors, wherein at least one of the plurality of senso rs is associated with a mobile device of a user; aggregating the received se nsor data to generate aggregated sensor data; processing the aggregated sens or data to determine an aggregated metric; comparing the aggregated metric t o a target associated with the user to determine a measure of performance; a nd generating feedback based on the determined measure of performance. Furth er, the mobile device can comprise a mobile personal services device that in cludes one or more of an audio sensor, a video sensor, an environmental sens or, a biometric sensor, a location sensor, an activity detector, and a healt h monitor. The feedback can be displayed on the mobile personal services dev ice. The feedback also can be displayed in near real-time.

ESTIMATION DEVICE, PROGRAM, ESTIMATION METHOD, AND ESTIMATION SYSTEM

Includes an extraction unit that extracts first information on a physiological state of a subject and second information on at least one of an emotion and organ activity of the subject from information on a physiology of the subject; a calculation unit that obtains a degree of similarity between changes over time indicated by the first information and the second information which are extracted and calculates a shift amount from a predetermined state in which a homeostasis in the subject is maintained based on the obtained degree of similarity; and an estimation unit that estimates a pathology of the subject based on the calculated shift amount.

SYSTEM-BASED MOTION DETECTION

Techniques for system-based motion detection is described, including a first accelerometer configured to detect a first acceleration associated with a system element, a second accelerometer configured to detect a second acceleration associated with the system, and a differential amplifier configured to generate a signal corresponding to the first acceleration, wherein the signal is used to distinguish the first acceleration from the second acceleration.

METHOD AND SYSTEM FOR PROCESSING DATA FROM AMBULATORY PHYSIOLOGICAL MONITORING

This invention provides methods and systems for the analysis of data returned from monitoring multiple physiological parameters of a subject, especially from ambulatory multiple parameter monitoring. The methods and systems remove motion artifacts from signals and separate multiple components of single signals due to two or more physiological systems or processes. Each output signal is are preferably free from motion artifacts and reflects primarily functioning of only a single physiological system or process.

추정장치, 프로그램, 추정방법 및 추정시스템

... 피험자의 생리를 나타내는 정보로부터, 피험자의 생리상태를 나타내는 제1 정보와 피험자의 감정 및 기관의 활동의 적어도 한쪽을 나타내는 제2 정보를 추출하는 추출부와, 추출한 제1 정보와 제2 정보가 나타내는 시간 변화에 있어서의 유사 정도를 구하고, 구한 유사 정도에 근거하여 피험자에 있어서의 항상성이 유지된 소정 상태로부터의 어긋남량을 산출하는 연산부와, 산출된 어긋남량에 근거하여 피험자의 병의 상태를 추정하는 추정부를 가진다.

Nasometer to relieve acoustic feedback and method thereof

Apparatus and method for determining user stress using speech signal

Wireless medical sensor and method

Sleep quality analysis and information service using voice and video

Emotion map based emotion analysis method classified by characteristics of pitch and volume information

Monitoring and reporting the health condition of a television user

Implementations generally relate to monitoring the health condition of a television user. In some implementations, a method includes detecting one or more activities of a user, wherein the one or more activities include watching television. The method further includes monitoring one or more health vitals of the user. The method further includes tracking a health status of the user based on the one or more activities and based on the monitoring of the one or more health vitals. The method further includes detecting one or more health anomalies based the health status. The method further includes responding to the one or more health anomalies based on one or more predetermined policies.

Vehicle data selection system for modifying automated driving functionalities and method thereof

The systems and methods provided herein are directed to the uploading and transmission of vehicle data to a remote system when a physiological event for a driver has been detected using one or more sensors. Information such as the driver's heart rate, temperature, voice inflection or facial expression may be monitored to detect the physiological event. Vehicle data, such as gathering or control system data, may be sent once the event has been detected. Selected vehicle data associated with the event or all data during the time of the event may be sent. After receiving the vehicle data, the remote system may process or store it where it may be used to modify automated driving functionalities.

EARLY DETECTION OF NEURODEGENERATIVE DISEASE

Embodiments of the present systems and methods may provide a non-invasive system to measure and integrate behavioral and cognitive features enabling early detection and progression tracking of degenerative disease. For example, a method of detecting neurodegenerative disease may comprise measuring functioning of at least one of the motor system, cognitive function, and brain activity of a subject during everyday life and analyzing the gathered at least one motor system data, cognitive function data, and brain activity data of the subject.

Diagnosing system for consciousness level measurement and method thereof

The present invention relates to a method for measuring behavioral change in human consciousness that is based on 12 different personality consciousness codes, wherein each code enables to instantly change the state-of-mind of an individual person. The method comprises: a) storing reference voice characteristics of different persons that represent acoustic information as expressed by human voice in a form of a time to frequency component relation; b) classifying the acoustic information into 12 different personality consciousness codes by using support vector machine that analyzes said acoustic information; c) receiving data indicative of a sound energy generated by the voice of said individual; d) performing spectral analysis of said received sound energy in order to obtain voice characteristics from an electronic representation of said sound energy; and e) comparing said obtained voice characteristics with the reference voice characteristics and determining the personality consciousness ...

MONITORING THE USE OF LANGUAGE OF A PATIENT FOR IDENTIFYING POTENTIAL SPEECH AND RELATED NEUROLOGICAL DISORDERS

A method and associated computer system and computer program product for monitoring the use of language of a patient that may enable the identification, analysis and reporting on of the natural progression of various neurological or speech disorders, is provided. The method includes obtaining a verbal response of the patient to a stimulus, converting the verbal response into text and the generating of verbal and textual response data by analyzing the verbal response and response text, respectively. A response vector may be formed base on the verbal and textual response data, which may then be used to determine a reply to the patient. Improved accuracy and consistency of monitoring the use of language associated with neurological and speech disorders is achieved, leading to a greater rate of success in the treatment of these conditions.

ACTIVE UNIPOLAR DRY ELECTRODE OPEN EAR WIRELESS HEADSET AND BRAIN COMPUTER INTERFACE

Aspects of the present disclosure provide a wearable audio product for obtaining biologically-relevant information associated with a user comprising. The audio product comprises a first electrode placed over the user's auditory cortex on a first side of the user's body, a second electrode placed on the first side of the user's body, a first reference electrode placed on the first side of the user's body, a processor coupled to the first, second, and first reference electrode, the processor configured to take one or more actions based on signals received from the first, second, and first reference electrodes, and an electroacoustic transducer coupled to the processor. Any or all of the electrodes described herein may include any integer number of electrodes clustered in the specified location.

SYSTEM AND METHOD FOR AUDIO KYMOGRAPHIC DIAGNOSTICS

A system and method for assisting in a determination of one or more maladies associated with a human voice anatomy utilizes voice information acquired over at least two temporally displaced acquisitions. Acquired voice samples, including plural vowel sounds, are digitized and passed through one or more bandpass filters to isolate one or more frequency ranges. Curve fitting of acquired data is completed in accordance with a plurality of parameter weights applied in either a time domain or frequency domain model of the voice. This process is repeated a second, later time, for the same human, and the same process is completed for the subsequently-acquired voice information. A difference between the curve information in the respective data sets is analyzed relative to the weights, and corresponding changes are correlated to maladies of various areas of the human voice anatomy.

ON-EAR DETECTION

A sensor on an earpiece is used to attempt to detect a signal corresponding to a heartbeat. If a heartbeat is detected, it can be determined that the earpiece is being worn by a user. The sensor may be an acoustic transducer on a surface of the earpiece that is located within the wearer's ear canal, while the earpiece is being worn normally.

SYSTEM AND METHOD FOR PASSIVE SUBJECT SPECIFIC MONITORING

A method includes obtaining, by an electronic device, an audio segment comprising one or more audio events of a target subject. The method also includes extracting, by the electronic device, audio embeddings from the one or more audio events using an embedding model, the embedding model comprising a trained machine learning model. The method further includes comparing, by the electronic device, the extracted audio embeddings with a match profile of the target subject, the match profile generated during an enrollment stage. The method also includes generating, by the electronic device, a label for the audio segment based on whether or not the extracted audio embeddings match the match profile, wherein the label enables correlation of the audio segment with the target subject for monitoring a health condition of the target subject.

Driving assistance system and driving assistance method

A driving assistance system and a driving assistance method are provided. The driving assistance system includes a physiological information sensing system, an external physical symptom detection system, and a processing device. The physiological information sensing system is configured to sense physiological information of a driver. The external physical symptom detection system is configured to detect an external physical symptom of the driver. The processing device is coupled to the physiological information sensing system and the external physical symptom detection system. When the physiological information of the driver and the external physical symptom of the driver are abnormal, the processing device initiates an emergency procedure.

SYSTEMS AND METHODS FOR REMOTE PATIENT SCREENING AND TRIAGE

ДИАГНОСТИЧЕСКАЯ СИСТЕМА И МОБИЛЬНЫЙ ТЕЛЕФОН

Изобретение относится к диагностической системе, позволяющей контролировать состояние здоровья пациента в удаленном от него медицинском учреждении. Она имеет средства приема произносимой пациентом информации, когда он здоров. Когда пациент чувствует себя нехорошо, и даже при хорошем самочувствии, он может регулярно связываться с медицинским учреждением. Когда он произносит слова в свой мобильный телефон, слышимый звук будет сохранен в запоминающей части для хранения слышимой звуковой информации от пациента и будет обработан компьютером, который ставит диагноз пациенту, и пациент будет проинформирован о диагнозе по линии связи общего пользования. Изобретение позволяет расширить область применения диагностической системы. 2 н. и 4 з.п. ф-лы, 13 ил.

СИСТЕМА И СПОСОБ ПОЛУЧЕНИЯ ХАРАКТЕРИСТИК ВЕРХНИХ ДЫХАТЕЛЬНЫХ ПУТЕЙ С ИСПОЛЬЗОВАНИЕМ ХАРАКТЕРИСТИК РЕЧИ

Изобретения относятся к медицине. Система для получения характеристик анатомического параметра верхних дыхательных путей пациента посредством анализа спектральных свойств фрагмента речи содержит механический соединитель, содержащий средство для ограничения положения челюстей пациента, средство для записи фрагмента речи и средство обработки для определения анатомического параметра верхних дыхательных путей по записанному фрагменту речи и сравнения записанного фрагмента речи с пороговым значением. Систему применяют в качестве диагностического инструмента для оценки обструктивного апноэ во сне. При этом ограничивают положение челюстей пациента, записывают фрагмент речи, сравнивают записанный фрагмент речи с пороговым значением и определяют упомянутый анатомический параметр верхних дыхательных путей по записанному фрагменту речи и сравнению записанного фрагмента речи с пороговым значением. Достигается повышение точности измерения анатомического параметра верхних дыхательных путей за счет фиксации ...

Устройство для регистрации и управления вводом речевой информации

Изобретение относится к области аналого-вычислительной техники, в частности к аналого-цифровым преобразователям, устройствам ввода речевой информации и может быть использовано, преимущественно, для медицинских работников при вводе ими речевой информации о состоянии здоровья, анамнезе и диагнозе пациентов. Заявленное устройство для регистрации и ввода речевой информации включает размещенные в одном переносном корпусе 1 микрофон 2 для ввода речевой информации, сенсорный дисплей 4 и элементы управления 5 в виде совокупности экранных и физических кнопок. В энергонезависимой памяти устройства находится дистрибутив программы-конфигуратора 6, выполненной с возможностью обеспечения пользователю способности самостоятельно размещать необходимые ему иконки на сенсорном дисплее и назначать на них необходимые действия в программном обеспечении. Устройство связано с персональным компьютером 7, снабженным средством распознавания и синтеза речи 8. Устройство снабжено вибромотором и динамиком 3 для озвучивания ...

Носимое устройство помощи в речи

Полезная модель относится к области носимой электроники, в частности медицинской техники и предназначена для помощи в речи людям, страдающим заиканием и другими нарушениями речи и слуха (дислалия, дизартрия, афония, немота, глухота), а также для всех тех, кто хочет расширить возможности собственной речи и слуха за счет синтезированного голоса и распознанной речи, например, при занятиях риторикой, тренировке публичных выступлений.Полезная модель состоит из корпуса с динамиком, микрофоном, радиомодулем Bluetooth и управляющим блоком, а также набором датчиков, расположенных в полудугах и прикрепленных к корпусу устройства, одновременно выполняющих роль фиксаторов полезной модели на шее человека.Полезная модель позволяет заикающемуся человеку воспроизвести речевое высказывание с помощью искусственно синтезированной речи, созданной в облачном сервисе и переданной на полезную модель в виде аудиофайла с помощью устройства ввода-вывода, например, с помощью смартфона c технологией Bluetooth, работающего ...

УСТРОЙСТВО ДЛЯ КОНТРОЛЯ СНА

СПОСОБ ОПРЕДЕЛЕНИЯ ТИПА ПСИХИКИ ИНДИВИДУУМА

Изобретение относится к области психологии и медицины и может быть использовано для определения типа психики индивидуума с более высокой надежностью определения их результатов. Формируют выборку индивидуумов с различными известными типами психики. Выбирают и измеряют внешние параметры исследуемого индивидуума и индивидуумов выборки. Сравнивают выбранные и измеренные внешние параметры исследуемого индивидуума с таковыми же внешними параметрами индивидуумов выборки и относят тип психики исследуемого индивидуума к типу психики индивидуума из выборки, имеющего наибольшее сходство по внешним параметрам. При этом выборка индивидуумов может быть с различными известными типами психики, определенными на основе характеристик этика-логика, интуиция-сенсорика, экстраверсия-интроверсия, рациональность-иррациональность или определенными на основе характеристик этика-логика, интуиция-сенсорика, экстраверсия-интроверсия, рациональность-иррациональность, и типа темперамента. Способ позволяет обеспечить ...

Method and arrangement for evaluating activity and functional ability based on interaction and physiological signals

The invention relates to a method for monitoring interaction between a person (3) and his companion (3a) and pet (1), which method can be realised via a data transfer network, a monitoring arrangement used in the method, a server (31) and a computer program to be used in the monitoring arrangement, which are included in the monitoring arrangement. With the method and monitoring arrangement according to the invention an interactive event between the companion (3a) and person (3) and/or pet (1) can be visualised on a data processing device (34) for a selected time period. The data processing device (34) can be situated in a different location than the persons (3, 3a) and pet (1) being monitored. In the method according to the invention the latest 3D location measuring data and physiological measuring data of the pet (1), companion (3a) and person (3) are compared to long-term average data. The physiological measuring data is received from wireless monitoring devices (2, 4 and 4a) carried ...

Temperature sensing system and method

Speech-based biofeedback method and system

Using correlation structure of speech dynamics to detect neurological changes

A method and a system for assessing a condition in a subject. An example of a condition is a Major Depressive Disorder (MDD). The method comprises measuring at least one speech-related variable in a subject; extracting a channel-delay correlation structure of the at least one speech-related variable; and generating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable.

Electronic skin, preparation method and use thereof

A piezoresistive electronic skin, preparation method and use thereof, the piezoresistive electronic skin employing a carbon nano tube thin-film as a conductive layer (21, 22), and employing polydimethylsiloxane, polyethylene terephthalate, polyvinyl alcohol, polyvinyl formal, polyethylene and the like provided with a micro nano-pattern as a substrate, such that the substrate is highly flexible and pliable, and has low operation voltage, little power consumption as well as high sensitivity and short response time. Employing a patterned flexible substrate (11, 12) as a base body improves the sensitivity of electronic skin to externally applied force. Also provided are a capacitive electronic skin and preparation method thereof. In addition, also provided are uses of the piezoresistive or capacitive electronic skin in the fields of speech recognition, pulse detection, medical robotics and the like.

DIAGNOSING SYSTEM AND MOBILE PHONE

A patient registers his audible sound when he is in good health. When he is not feeling well, and even when he is in good health, he may contact regularly with a medical institution. Once he pronounces words to his mobile phone, the audible sound will be stored in a storing portion for storing audible sound information of the patient and will be processed by a computer that gives diagnosis to the patient and the patient will be informed of the diagnosis through a public line.

AN IMPROVED DEVICE FOR DETECTING, PREVENTING, MONITORING AND TREATING PARAFUNCTIONAL ACTIVITIES IN ODONTOLOGICAL FIELD

The present invention concerns a device (1) for detecting a parafunctional activity and comprising at least a sensor (3, 103) configured to detect a muscular activity and a processor (110) programmed to recognize a parafunctional activity by means of an analysis of the electromyographic signal detected by the sensor. According to the invention, a device for detecting sounds (150, C) is further comprised, configured to recognize a voice emitted by the user and cooperating with the processor.

METHOD AND SYSTEM FOR PROCESSING DATA FROM AMBULATORY PHYSIOLOGICAL MONITORING

This invention provides methods and systems for the analysis of data returned from monitoring multiple physiological parameters of a subject, especially from ambulatory multiple parameter monitoring. The methods and systems remove motion artifacts from signals and separate multiple components of single signals due to two or more physiological systems or processes. Each output signal is are preferably free from motion artifacts and reflects primarily functioning of only a single physiological system or process.

For measuring lung capacity and endurance of the system and method

DEVICE OF RECONSTITUTION OF THE WORD BY ULTRASONIC SURVEY OF THE VOCAL APPARATUS

L'invention concerne un dispositif portable de reconnaissance et/ou de reconstruction de la parole par sondage ultrasonore de l'appareil phonatoire, le dispositif comportant au moins un transducteur ultrasonore (20) pour générer une onde ultrasonore et recevoir une onde réfléchie par l'appareil phonatoire de l'utilisateur, et des moyens d'analyse d'un signal généré par le transducteur ultrasonore, caractérisé en ce que le dispositif comporte des moyens de localisation (21 ;23) pour déterminer une position relative du transducteur ultrasonore par rapport au crâne de l'utilisateur.

Activity Analysis System and Method for diagnosing ADHD for Child

MEDICAL STIMULATION DEVICE

Nasometer to relieve acoustic feedback and method thereof

ACOUSTIC SENSOR PLATFORM METHOD AND APPARATUS FOR PAIN MITIGATION, APNEA DETECTION, ASPIRATION DETECTION AND PATIENT COMMUNICATION IN ANESTHESIA PATIENTS

An acoustic sensor platform based method and apparatus provides for improved pain mitigation, apnea detection, aspiration detection and patient communication in anesthesia patients. The platform includes an acoustic sensor configured to be coupled to one of a nasal cannula or face mask of the anesthesia patient; a processer coupled to the acoustic sensor and configured to i) Detect patient speech and isolate and amplify the patient speech, and ii) Detect at least one of a breathing rate of the patient or aspiration of the patient; and an audio visual display coupled to the processor and providing an audio and/or visual display of the isolated and amplified speech of the patient, and displaying results for at least one of a breathing rate of the patient or aspiration of the patient.

Emotive text-to-speech system and method

Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to.

Information processing device and control method

An information processing device including an emotion recognition unit that recognizes, on the basis of information concerning a user and information concerning another user having been sensed, an emotion of the other user, and a notification control unit that performs control such that the user is notified of information concerning the emotion of the other user having been recognized.

HAND-HELD TOOL FOR CUTTING LAMINATED GLASS AND FILM-COVERED GLASS, ASSOCIATED KIT AND METHOD FOR USING SAME

An apparatus for cutting laminated glass and film-covered glass includes a powered hand-held tool with a blade set including two static cutting blades and one dynamic, reciprocating cutting blade. The reciprocating cutting blade moves between the two static cutting blades which are rigidly mounted to the tool head. The left and right static cutting blades were spaced apart by about 0.250 inches, and the cutting blade had a thickness of about 0.200-0.250 inches. The clearance between the reciprocating and each static blade is between about 0.005-0.025 inches.

SLEEP ASSESSMENT USING A HOME SLEEP SYSTEM

A sleep assessment device is provided for, including biometric sensors for detecting a heart rate, respiration, or movement of a user. The device detect a user's sleep state by reading signals from the biometric sensor and logs detected information in a sleep record. The device then compares the logged information to a thumbprint of sleep patterns indicative of sleep disorders and outputs an indication of potential sleep disorders based on the comparison. 1. A sleep assessment system comprising:at least one biometric sensor for detecting at least one of a heart rate, respiration, or movement of a first user, the at least one biometric sensor;a microphone configured to use beamforming to detect sound emanating from the first user;at least one speaker;a processor; andmemory;wherein said processor is configured to detect the first user's sleep state based on signals from said at least one biometric sensor;wherein said processor is further configured to log information in a sleep record, including biometric information detected during the period the first user is sleeping;wherein said processor is configured to compare said logged information in said sleep record to a thumbprint of sleep patterns and output an indication of potential sleep disorders based on said comparison; andwherein said processor is further configured to generate a noise-masking sound based on sounds emanating from the first user that are detected by said microphone, and said at least one speaker is configured to play said noise-masking sound, andwherein said at least one speaker is one of a pair of headphones for a second user to wear or a pair of earbuds for the second user to wear.2. The sleep assessment system of claim 1 , wherein the thumbprint is a thumbprint of a normal sleep pattern.3. The sleep assessment system of claim 1 , wherein the thumbprint is a thumbprint of a known sleep disorder.4. The sleep assessment system of claim 3 , wherein the sleep disorder is one of: sleep apnea claim 3 , ...

METHOD AND SYSTEM FOR PROVIDING 3D TEETH ALIGNMENT IMAGE DISPLAY SERVICES, AND COMPUTER-READABLE MEDIUM ON WHICH THE METHOD IS RECORDED

In a method of providing 3D teeth alignment image display services using a computer system including at least one orthodontist terminal and a server computer connected to a network, a target teeth information on an orthodontic patient may be received from the orthodontist terminal or an orthodontic patient terminal such that three or four images of a display are respectively projected onto a pyramidal three-sided or four-sided projection plate and thus the orthodontic patient checks a 3D hologram of his/her virtually aligned teeth, a virtually aligned teeth information that is obtained based on the target teeth information may be transformed to three-view or four-view image information outputtable by the display such that the virtually aligned teeth information is projectable onto the three-sided or four-sided projection plate, and the three-view or four-view image information may be transmitted to the orthodontist terminal. 1. A method of providing 3D teeth alignment image display services using a computer system comprising at least one orthodontist terminal and a server computer connected to a network , the method comprising:receiving a target teeth information on an orthodontic patient from the orthodontist terminal or an orthodontic patient terminal such that three or four images from a display are respectively projected onto a substantially pyramidal three-sided or four-sided projection plate and thus the orthodontic patient checks a 3D hologram of his/her virtually aligned teeth,transforming a virtually aligned teeth information that is obtained based on the target teeth information, to three-view or four-view image information outputtable by the display such that the virtually aligned teeth information is projectable onto the three-sided or four-sided projection plate, andtransmitting the three-view or four-view image information to the orthodontist terminal.2. A method of providing 3D teeth alignment image display services using a computer system comprising ...

System for subglottal pressure measurement and display during speech

A method and device is described for estimating the subglottal air pressure during speech or singing from the intraoral air pressure in essentially real-time by using a type of peak detection and extrapolation means that holds peaks in the low-pass filtered pressure signal for a period of time sufficient to allow their interpretation as real-time subglottal pressure. An electronic circuit suitable for implementing this function is described.

SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS

СПОСОБ НЕИНВАЗИВНОГО ОПРЕДЕЛЕНИЯ СОДЕРЖАНИЯ ГЛЮКОЗЫ В КРОВИ И УСТРОЙСТВО ДЛЯ ЕГО ОСУЩЕСТВЛЕНИЯ

Группа изобретений относится к медицине, эндокринологии и может быть использована для определения и контроля уровня глюкозы в крови при диагностике нарушений углеводного обмена. Регистрируют звуковые колебания голоса человека, проводят их аппаратурное преобразование для получения параметра, соответствующего содержанию глюкозы в крови, и определяют содержание глюкозы в крови человека при регистрации звуковых колебаний. При этом в качестве параметра, соответствующего содержанию глюкозы в крови, используют интенсивность пиков звуковых частот колебаний голоса человека. В качестве указанного параметра интенсивности используют соотношение между интенсивностями пиков выбранных низких и высоких частот. Регистрацию звуковых колебаний голоса человека осуществляют в выбранном диапазоне низких частот от 100 Гц до 1500 Гц и высоких частот от 7000 Гц до 10000 Гц. Устройство для определения уровня глюкозы в крови человека включает регистратор звуковых колебаний голоса человека, звуковой спектр-анализатор ...

СПОСОБ ОПРЕДЕЛЕНИЯ ТИПА ПСИХИКИ ИНДИВИДУУМА

... 1. Способ определения типа психики индивидуума, заключающийся в том, что формируют выборку индивидуумов с различными известными типами психики, выбирают и измеряют внешние параметры исследуемого индивидуума и индивидуумов выборки, сравнивают выбранные и измеренные внешние параметры исследуемого индивидуума с таковыми же внешними параметрами индивидуумов выборки и относят тип психики исследуемого индивидуума к типу психики индивидуума из выборки, имеющего большее сходство по внешним параметрам.2. Способ определения типа психики индивидуума по п. 1, отличающийся тем, что относят тип психики исследуемого индивидуума к типу психики индивидуума из выборки, имеющему сходство по заданным внешним параметрам, являющееся достаточным для определения типа психики индивидуума.3. Способ определения типа психики индивидуума по п. 1, отличающийся тем, что формируют выборку индивидуумов с различными известными типами психики, определенными на основе характеристик этика-логика, интуиция-сенсорика, экстраверсия-интроверсия ...

ДИАГНОСТИЧЕСКАЯ СИСТЕМА И МОБИЛЬНЫЙ ТЕЛЕФОН

... 1. Диагностическая система, содержащая средство для обеспечения приема медицинским учреждением, расположенным на удалении от пациента, заданного слова, выбранного из слышимой звуковой информации, в данный момент произносимой пациентом и передаваемой от пациента в медицинское учреждение; средство для постановки диагноза о состоянии здоровья пациента в соответствии с принятой слышимой звуковой информацией и передачи диагноза пациенту. 2. Диагностическая система по п.1, отличающаяся тем, что диагностическое средство имеет средство для хранения слышимой звуковой информации, поступившей от пациента, когда пациент был здоров; и средство для сравнения слышимой звуковой информации, поступившей от пациента, со слышимой звуковой информацией, хранящейся в средстве для хранения, и передачи диагноза пациенту. 3. Диагностическая система, содержащая средство для хранения слышимой звуковой информации, поступившей от пациента, когда пациент был здоров; средство для передачи слышимой звуковой информации, ...

Method for providing vui particular response and application thereof to intelligent sound box

Language disorder diagnosis/screening

Language disorders are screened and diagnosed by transcribing audio speech data 34 to text 52 and then extracting speech and language features 54 from both the text and audio for evaluation via eg. weighted machine learning classifiers 64 comprising random forest, convolutional neural network or linear regression classifiers 66. The audio may first be speech-separated 44 and noise filtered 42. The acoustic features 60 include pauses, pitch, intonation, loudness, fluency or spectral features, while the text mapping features 58 include synonyms for story keywords, sentence cohesion and subordinate clause count.

Health-related information generation and storage

Health-related information generation and storage

A data storage system for health-related data comprising a storage element, for storing input data, wherein input data is stored after determination that it relates to an enrolled user. A data modification block is provided for receiving said input data and obfuscating the input data to provide an obfuscated version of said stored data. A first access mechanism, for controlling access to said stored data such that only an authorised user can obtain access to said stored data; and a second access mechanism, for controlling access to said stored data such said second access mechanism only provides access to the obfuscated version of the stored data. A data check mechanism may be provided to determine whether the data is associated with an enrolled user. The data check mechanism may be a voice biometric processing block.

Measuring cognitive load

DIAGNOSTIC TECHNIQUES BASED ON SPEECH-SAMPLE ALIGNMENT

Reference-sample feature vectors that quantify acoustic features of different respective portions of at least one reference speech sample (44), which was produced by a subject (22) at a first time while a physiological state of the subject was known, are obtained. At least one test speech sample (56) that was produced by the subject at a second time, while the physiological state of the subject was unknown, is received. Test-sample feature vectors (60) that quantify the acoustic features of different respective portions (58) of the test speech sample are computed. The test-sample feature vectors are mapped to respective ones of the reference-sample feature vectors, under predefined constraints, such that a total distance between the test-sample feature vectors and the respective ones of the reference-sample feature vectors is minimized. In response to the mapping, an output indicating the physiological state of the subject at the second time is generated.

DIAGNOSTIC SYSTEM AND PORTABLE TELEPHONE DEVICE CAPABLE OF JUDGING HEALTH CONDITION OF PATIENT

PURPOSE: A diagnostic system and a portable telephone device are provided to easily and accurately diagnose users in home, and allow for a medical examination of healthy person. CONSTITUTION: A diagnostic system comprises a unit for permitting the diagnostic unit arranged in a remote place from an examinee to receive voice data talked and transmitted from the examinee; a unit for diagnosing the health condition of the examinee in accordance with the received voice data, and transmitting the result of the diagnosis to the examinee; a storing unit for storing voice data of the examinee acquired when the examinee is healthy; and a unit for judging the health condition of the examinee by comparing the received voice data and the voice data stored in the storing unit, and transmitting the result of diagnosis to the examinee. © KIPO 2005 ...

Language rehabilitation based vocal voice evaluation apparatus and method thereof

DETERMINING A PSYCHOLOGICAL STATE OF A SUBJECT

Measurements of responses of a subject are performed automatically (24, 26). The measurements (24, 26) include a sufficient set of measurements to complete a psychological evaluation task (28) or to derive a complete conclusion about a cognitive state, and emotional state, or a socio-emotional state (30) of the subject. The task is performed (74) or the complete conclusion is derived (76, 78) based on the measurements of responses (24, 26).

METHOD FOR UTILIZING ORAL MOVEMENT AND RELATED EVENTS

A method for utilizing oral movements is used in speech assessment, speech therapy, language development, and controlling external devices. A device is used which includes a sensor plate having sensors to detect contact of the tongue with the sensor plate (Fig. 1). One aspect of the invention allows viewing representations of contact of the tongue and palate during speech and comparing the representations with model representations displayed in a split screen fashion. The model representations may be generated by another speaker utilizing a sensor plate or by computer generated representations which have been electronically stored. The representations may be analyzed to assess speech proficiency and the model may be mimicked for speech enhancement.

SPEECH SIGNAL PROCESSING

A speech signal processing system comprises an audio processor (103) for providing a first signal representing an acoustic speech signal of a speaker. An EMG processor (109) provides a second signal which represents an electromyographic signal for the speaker captured simultaneously with the acoustic speech signal. A speech processor (105) is arranged to process the first signal in response to the second signal to generate a modified speech signal. The processing may for example be a beam forming, noise compensation, or speech encoding. Improved speech processing may be achieved in particular in an acoustically noisy environment.

System and method for analyzing normalized patient voice feedback an automated collection and analysis patient care system

A system and method for analyzing normalized patient voice feedback in an automated collection and analysis patient care system is described. Device measures providing physiological measures collected by an implantable medical device on a substantially continuous basis are received for storage into a patient care record. Voice feedback spoken by an individual patient substantially contemporaneous to the collection of at least one set of the device measures is received. The voice feedback is processed into normalized quality of life measures for storage into the patient care record. The physiological measures and the quality of life measures stored in the patient care record are analyzed relative to at least one of other physiological measures and other quality of life measures to determine a patient status indicator.

Autonomous speech and language assessment

Technologies are described to provide autonomous speech and language assessments. In some examples, a method to conduct an autonomous speech and language assessment includes facilitating authoring of an autonomous speech and language assessment. The autonomous speech and language assessment may be interactions between one or more of a conversational module, an analytical module, and a control module, and the interaction may be specified using a visual programming language. The method may also include modeling the autonomous speech and language assessment as a graph using a conversation markup language, and conducting the autonomous speech and language assessment utilizing a conversational virtual agent.

Mesh network stroke monitoring appliance

A health care monitoring system for a person includes one or more wireless nodes forming a wireless mesh network; a wearable appliance having a sound transducer coupled to the wireless transceiver; and a heart attack or stroke attack sensor coupled to the wireless mesh network to communicate patient data over the wireless mesh network to detect a heart attack or a stroke attack.

AUDIOLOGY TESTING TECHNIQUES

Speech understanding in the presence of background noise can be assessed using novel hearing tests. One such test is a Masking Level Difference with Digits (MLDD) test, which is a clinical tool designed to measure auditory factors that influence the understanding of speech presented within a background of noise. The MLDD test can be used clinically to facilitate a determination of functional hearing. The MLDD test presents background noise using both monotic and diotic conditions.

Methods and apparatus to identify a mood of media

Methods and apparatus to identify a mood of media are disclosed. An example method includes accessing a known audio known to evoke a first emotion. A first synthesized sample is synthesized based on the known audio sample. A first value of a first feature of the first synthesized sample is calculated. A mood model is created based on the first feature. The mood model is to establish a relationship between the first feature and the first emotion. A second value of the first feature of first media evoking an unknown emotion is identified. The unknown emotion is identified as the first emotion when the mood model indicates that the second value corresponds to the first value.

EAR-WORN ELECTRONIC DEVICE FOR CONDUCTING AND MONITORING MENTAL EXERCISES

An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic ...

SPEECH ANALYSIS DEVICES AND METHODS FOR IDENTIFYING MIGRAINE ATTACKS

Speech analysis devices and methods for identifying migraine attacks are provided. Migraine sufferers can experience changes in speech patterns both during a migraine attack and in a pre-attack phase (e.g., a time period before the migraine attack can be recognized by the migraine sufferer). Embodiments identify or predict migraine attacks during the pre-attack phase and/or the attack phase (such as early stages of a migraine attack) by comparing speech features from one or more speech samples provided by a user against baseline data. The speech features are indicative and/or predictive of migraine onset, and can be personalized to a user and/or based on normative data.

ROBOTIC INTERACTIONS FOR OBSERVABLE SIGNS OF CORE HEALTH

Described herein are assistant robots that observe signs of core health, health dangers, and/or signs of medical distress in a home or at work. As such, the assistant robots can take actions to prevent dangerous situations, diagnose health problems, respond to requests for help, and provide regular treatments or analysis of a person's medical state. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

ASSESSING PARKINSON'S DISEASE SYMPTOMS

The exemplary embodiments disclose a system and method, a computer program product, and a computer system for assessing one or more Parkinson's disease symptoms. The exemplary embodiments may include collecting data of a user's motion, extracting one or more features from the collected data, and assessing one or more Parkinson's disease symptoms of the user based on applying one or more models to the data.

PATIENT CARE METHODS AND SYSTEMS THROUGH ARTIFICIAL INTELLIGENCE-BASED MONITORING

A patient care method through artificial intelligence-based monitoring in accordance with one example of the present disclosure comprises steps of: obtaining image information relating a user by a first collecting portion, obtaining speech information relating to the user by a second collecting portion and obtaining biometrics information relating to the user by a third collecting portion (Step 1); representing at least a part of a plurality of information obtained from the first collecting portion, the second collecting portion and the third collecting portion, through a display portion of a user table (Step 2); determining health condition of the user, based on a part of the plurality of information obtained from the first collecting portion, the second collecting portion and the third collecting portion by a server (Step 3); controlling the display portion of the user table to represent a first information automatically generated based on the determined heath condition by the server ...

DETECTION OF MEDICALLY RELATED EVENTS AT A POINT OF SALE

Systems and methods for detecting medically related events at a point of sale are disclosed herein. An example method of detecting droplets associated with a sneeze or cough at a point of sale includes: capturing, by an image sensor associated with a checkout workstation, one or more images; analyzing, by one or more processors, the images captured by the image sensor associated with the checkout workstation, to detect an indication that one or more droplets associated with a sneeze or cough are present upon one or more equipment associated with the checkout workstation; and triggering, by the one or more processors, a disinfection of the checkout workstation responsive to detecting the indication that the one or more droplets associated with the sneeze or cough are present upon the one or more equipment associated with the checkout workstation. 1. A method , comprising:capturing, by an image sensor associated with a checkout workstation, one or more images;analyzing, by one or more processors, the images captured by the image sensor associated with the checkout workstation, to detect an indication that one or more droplets associated with a sneeze or cough are present upon one or more equipment associated with the checkout workstation; andtriggering, by the one or more processors, a disinfection of the checkout workstation responsive to detecting the indication that the one or more droplets associated with the sneeze or cough are present upon the one or more equipment associated with the checkout workstation.2. The method of claim 1 , wherein triggering the disinfection of the checkout workstation includes triggering an alert for an employee associated with the checkout workstation indicating that the checkout workstation should be disinfected.3. The method of claim 1 , further comprising:capturing, by one or more microphones associated with the checkout workstation, sound data associated with the checkout workstation;analyzing, by the one or more processors, the ...

ART PSYCHOLOGICAL ANALYSIS APPARATUS USING VOICE, TEXT, AND PICTURE DATA AND ART PSYCHOLOGICAL ANALYSIS METHOD USING THE SAME

Provided is an art psychological analysis apparatus using voice, text, and picture data which analyzes an emotion of a test taker using voice data, text data, and picture data extracted from a voice of the test taker at the time of the art psychological test and analyzes a test taker’s personality using a meaningful picture subject to understand the psychology and an art psychological analysis method using the same. The art psychological analysis apparatus using voice, a text, and picture data may include a user interface for providing an interaction environment to a user who is a test taker, a data extraction unit which extracts voice data from a voice of the user input through the user interface during an art psychological test and extracts text data from the voice data, an emotion analysis unit which analyzes an emotion of the user from picture data input by the user through the user interface using the voice data and text data extracted from the data extraction unit, a personality analysis ...

COGNITIVE FUNCTION ESTIMATION DEVICE, COGNITIVE FUNCTION ESTIMATION METHOD, AND STORAGE MEDIUM

A cognitive function estimation device 1X mainly includes a first state information acquisition means 15X, a second state information acquisition means 16X, and a cognitive function estimation means 17X. The first state information acquisition means 15X is configured to acquire first state information representing a first state of a subject regarding a cognitive function of the subject. The second state information acquisition means 16X is configured to acquire second state information representing a second state of the subject whose interval of state change is longer than the first state. The cognitive function estimation means 17X is configured to estimate the cognitive function of the subject based on the first state information and the second state information.

DETECTION AND/OR PREDICTION OF STROKE USING IMPEDANCE MEASUREMENTS

ОЦЕНКА СИМПТОМОВ ДЫХАТЕЛЬНОЙ НЕДОСТАТОЧНОСТИ И ОТЕКА

Группа изобретений относится к медицинской технике, а именно к средствам амбулаторного контроля пациентов. Способ оценки симптомов пациента содержит этапы, на которых осуществляют аудиозапись пациента посредством устройства записи речи в течение интервала времени, принимают аудиозапись посредством блока распознавания речи и определяют по аудиозаписи число пауз в течение интервала времени и продолжительность каждой из пауз, определяют текущий уровень дыхательной недостаточности и выдают уведомление пациенту или медицинскому работнику, если текущий уровень дыхательной недостаточности выше приемлемого уровня. Система содержит устройство записи речи, блок распознавания речи и процессор, определяющий на основании числа пауз и продолжительности каждой из пауз оценку дыхательной недостаточности для пациента, соответствующую интервалу времени. Использование изобретений позволяет повысить объективность оценки симптомов. 2 н. и 8 з.п. ф-лы, 5 ил.

Verfahren und Steuereinheit zum Betreiben eines autonomen Fahrzeugs

Die Erfindung betrifft eine Steuereinheit für autonomes Fahren (18), die einen Prozessor(40), der dazu ausgelegt ist, ein durchgeführtes oder ein anstehendes Fahrmanöver (M1-M4) auf Grundlage von physiologischen Messwerten zu bewerten.

APPARATUS FOR ESTIMATING MENTAL/NEUROLOGICAL DISEASE

EMOTIVES CONSULTING SYSTEM AND PROCEDURE

Diagnostic techniques based on speech models

A speech model (46) constructed from reference speech samples (44), which were produced by a subject (22) at a first time while a physiological state of the subject was known, is obtained. The model includes (i) acoustic states (48) exhibited in the reference speech samples and associated with respective local distance functions (50), and (ii) allowed transitions (52) between the acoustic states. A test speech sample (56) that was produced by the subject at a second time, while the physiological state of the subject was unknown, is received. Test-sample feature vectors (60) that quantify acoustic features of different respective portions (58) of the test speech sample are computed. Based on the local distance functions and the allowed transitions, the test speech sample is mapped to a minimum-distance sequence of the acoustic states, in response thereto, an output indicating the physiological state of the subject at the second time is generated.

Estimating lung volume by speech analysis

A system (20) includes circuitry (26, 42) and one or more processors (28, 36), configured to cooperatively carry out a process that includes receiving, from the circuitry, a speech signal (62) that represents speech uttered by a subject (22), the speech including one or more speech segments, dividing the speech signal into multiple frames (64), such that one or more sequences (66) of the frames represent the speech segments, respectively, computing respective estimated total volumes of air exhaled by the subject while the speech segments were uttered, by, for each of the sequences, computing respective estimated flow rates of air exhaled by the subject during the frames belonging to the sequence and based on the estimated flow rates computing a respective one of the estimated total volumes of air, and in response to the estimated total volumes of air, generating an alert. Other embodiments are also described.

Health monitoring appliance

A heart monitoring system for a patient includes one or more wireless nodes forming a wireless network; a wearable appliance having a wireless transceiver to communicate with the one or more wireless nodes; and an analyzer to determine vital signs, the analyzer coupled to the wireless transceiver to receive patient data over the wireless network.

PHONOLOGICALLY-BASED BIOMARKERS FOR MAJOR DEPRESSIVE DISORDER

A system and a method for assessing a condition in a subject. Phones from speech of the subject are recognized, one or more prosodic or speech-excitation-source features of the phones are extracted, and an assessment of a condition of the subject, is generated based on a correlation between the features of the phones and the condition. 1. A method of assessing a condition in a subject , the method comprising:recognizing phones from speech of the subject;extracting one or more prosodic or speech-excitation-source features of the phones from the speech of the subject; andgenerating an assessment of a condition of the subject, based on a correlation between the one or more features of the phones and the condition.2. The method of claim 1 , wherein the condition has a measure and the correlation is between the measure and the one or more features of the phones.3. The method of claim 1 , wherein the speech of the subject is running speech.4. The method of claim 1 , wherein the phones are recognized automatically.5. The method of claim 1 , wherein the condition is selected from traumatic brain injury claim 1 , post-traumatic stress disorder claim 1 , Parkinson's disease claim 1 , Aphasia claim 1 , Autism claim 1 , Alzeimer's disease claim 1 , stroke claim 1 , sleep disorders claim 1 , anxiety disorders claim 1 , multiple sclerosis claim 1 , cerebral palsy claim 1 , and major depressive disorder (MDD).6. The method of claim 2 , wherein the condition is MDD and the measure is a Hamilton-D (HAMD) score or a subscore thereof.7. The method of claim 1 , wherein the one or more features of the phones extracted from speech of the subject are selected from one or more of duration of phones claim 1 , energy of phones claim 1 , pitch of phones claim 1 , aspiration of phones claim 1 , glottal flow of phones or frequency-dependent energy of phones.8. The method of claim 1 , wherein the one or more features of the phones extracted from speech of the subject include durations of one or ...

Detection of conditions from sound

Disclosed are various systems, methods, and programs embodied in a computer-readable medium for sound analysis. The sound analysis involves transforming a sound print into a frequency domain in a memory to generate a frequency spectrum. A plurality of signatures are identified in the frequency spectrum. Also, a plurality of frequency ranges associated with the signatures are identified in the sound print. The frequencies associated with a physiological profile are cross-referenced with the frequency ranges to determine if the physiological profile is applicable to the sound print.

APPARATUS FOR VOICE ASSISTED MEDICAL DIAGNOSIS

An apparatus for use in voice assisted medical diagnosis including a database, an input unit, a voice matching unit and a diagnosis unit. A voice model associated with an individual is stored in the database. The input unit receives a voice signal from the individual. The voice matching unit matches the voice signal with the voice model. The diagnosis unit diagnoses whether the individual suffers from one or a multiple of predetermined diseases according to a matching result from the voice matching unit. The apparatus further includes a speech recognition unit, analyzing the individual's voice response to a plurality of predetermined questions to determine one or a multiple of medical conditions of the individual. The diagnosis unit diagnoses whether the individual suffers from one or a multiple of the predetermined diseases according to the matching result and the one or multiple of medical conditions of the individual. 1. An apparatus for use in voice assisted medical diagnosis , comprising:a database, storing a voice model associated with an individual;an input unit, receiving a voice signal from the individual;a voice matching unit, matching the voice signal with the voice model; anda diagnosis unit, diagnosing whether or not the individual suffers from one or a multiple of predetermined diseases according to a matching result from the voice matching unit.2. The apparatus as claimed in claim 1 , further comprising:a voice training module, generating the voice model from the individual's voice.3. The apparatus as claimed in claim 1 , further comprising:a speech recognition unit, analyzing the individual's voice response to a plurality of predetermined questions to determine one or a multiple of medical conditions of the individual,wherein the diagnosis unit, diagnoses whether or not the individual suffers from one or a multiple of the predetermined diseases according to the result from the voice matching unit and the one or multiple of medical conditions of the ...

Fitness monitoring

A heart monitoring system for a user includes a body wearable appliance placed on or near the user skin and having one or more sensors to capture fitness data and a wireless transceiver to communicate fitness data; and a processor coupled to the wireless transceiver to receive fitness data.

Method and system for processing information based on detected biometric event data

A system and method is provided for processing and storing captured data in a wireless communication device based on detected biometric event data. The captured data may be acquired through a data acquisition system with devices or sensors in an integrated or distributed configuration. The captured data may include multimedia data of an event with time, date and/or location stamping, and captured physiological and behavioral biometric event data in response to the event. The captured data may be dynamically stored in a data binding format or as raw data in a local host device or communicated externally to be stored in a remote host or storage. At least one user preference may be specified for linking a biometric event data to the mapped, analyzed, categorized and stored captured data in a database. Captured data may be retrieved by matching biometric event data to at least one user preference from the database.

COGNITIVE BIOMETRIC SYSTEMS TO MONITOR EMOTIONS AND STRESS

The present invention provides methods and systems to periodically monitor the emotional state of a subject comprising the steps of: exposing the subject to a plurality of stimuli during a session; acquiring objective data from a plurality of monitoring sensors, wherein at least one sensor measures a physiological parameter; transferring the data to a database; and processing the data to extract objective information about the emotional state of the subject. 1. A method to periodically monitor the emotional state of a subject comprising the steps of:exposing the subject to a plurality of stimuli during a session;acquiring objective data from a plurality of monitoring sensors, wherein at least one sensor measures a physiological parameter;transferring the data to a database; andprocessing the data to extract objective information about the emotional state of the subject.2. The method of claim 1 , wherein the emotional state is an anxiety disorder claim 1 , mood disorder claim 1 , or depression.3. The method of claim 1 , wherein the emotional state is attention deficit hyperactivity disorder claim 1 , autism spectrum disorder claim 1 , bipolar disorder claim 1 , borderline personality disorder eating disorder claim 1 , or schizophrenia.4. The method of claim 1 , wherein the plurality of stimuli are emotion-inducing stimuli.5. The method of claim 4 , wherein the emotion-inducing stimuli are selected from three categories: measurement sessions and metrics claim 4 , calming and relaxation claim 4 , and mitigate and desensitize.6. The method of claim 5 , wherein the stimuli are presented through visual claim 5 , oral claim 5 , aural claim 5 , kinesthetic claim 5 , or written methods.7. The method of claim 1 , wherein the session is a treatment claim 1 , assessment claim 1 , or tracking session.8. The method of claim 1 , wherein the plurality of monitoring sensors measure autonomic physiological parameters selected from: blood pressure claim 1 , pulse rate claim 1 , ...

2D SCANNING VIDEOKYMOGRAPHY SYSTEM FOR ANALYZING VIBRATION OF VOCAL-FOLD MUCOSA, AND METHOD OF ANALYZING VIBRATION OF VOCAL-FOLD MUCOSA USING THE SAME

Disclosed is a 2D scanning videokymography system for analyzing a vibration of vocal-fold mucosa, including: a laryngoscope for observing vocal folds; a light source for illuminating the vocal folds; a video camera for recording and storing images observed through the laryngoscope; a computer incorporating an image capture unit for converting a video signal transmitted from the video camera into a digital image signal, a storage unit for storing the digital image signal, a control unit for analyzing the image signal of the storage unit and displaying the analysis results on a monitor, and analysis software for analyzing the image signal of the storage unit; and a monitor for displaying a captured image and analysis results. 1. A 2D scanning videokymography system for analyzing a vibration of vocal-fold mucosa , comprising:a laryngoscope for observing vocal folds;a light source for illuminating the vocal folds;a video camera for recording and storing images observed through the laryngoscope;a computer incorporating an image capture unit for converting a video signal transmitted from the video camera into a digital image signal, a storage unit for storing the digital image signal, a control unit for analyzing the image signal of the storage unit and displaying the analysis results on a monitor, and analysis software for analyzing the image signal of the storage unit; anda monitor for displaying a captured image and analysis results.2. The system of claim 1 , wherein the video camera scans the vocal-fold mucosa with a rolling shutter to acquire 2D scanning videokymography.3. The system of claim 1 , wherein a shutter speed of the video camera is set to 1/1000 seconds or more.4. The system of claim 1 , wherein the light source is a Xenon continuous light source.5. An analysis method of a vibration of vocal-fold mucosa claim 1 , which is performed in a 2D scanning videokymography system according to claim 1 , the method comprising:(a) storing a 2D scanning kymogram image ...

Health Monitoring System Using Outwardly Manifested Micro-Physiological Markers

A camera coupled to a processor is disclosed. The camera is configured to capture images of the subject. The processor is configured to amplify microscopic temporal variations between the images of the subject and generate a profile of at least one microscopic temporally detected physiological variation of the subject. The processor is further configured to compare the profile of the subject to a pre-existing first aggregate profile of a plurality of third-party subjects, said aggregate profile corresponding to the at least one microscopic temporally detected physiological variation of the third-party subjects, the aggregate third-party profile corresponding to a known state of the third-party subjects. 1. A device configured to monitor visible physiological conditions of a subject , comprising:a camera in communication with a processor, the camera configured to capture at least a first and second image of the subject, said processor comprising executable code configured to amplify microscopic temporal variations between the first and second image of the subject and generate a profile of at least one microscopic temporally detected physiological variation of the subject;wherein said processor is further configured to compare the profile of the subject to a pre-existing first aggregate profile of a plurality of third-party subjects, said aggregate profile corresponding to the at least one microscopic temporally detected physiological variation of the third-party subjects, said aggregate third-party profile corresponding to a known state of the third-party subjects; andwherein said processor is further configured to detect differences between the profile of the subject and the aggregate profile of the plurality of third-party subjects and determine a probability that a state of the subject corresponds to the known state of the third-party subjects.2. The device of claim 1 , wherein the known state comprises one of an emotional state claim 1 , a mental state claim 1 , ...

COGNITIVE FUNCTION EVALUATION DEVICE, COGNITIVE FUNCTION EVALUATION SYSTEM, COGNITIVE FUNCTION EVALUATION METHOD, AND RECORDING MEDIUM

A cognitive function evaluation device includes an acquirer that acquires speech data that indicates speech uttered by an evaluatee in response to a task given to the evaluatee; an evaluator that evaluates a cognitive function of the evaluatee by performing a first evaluation based on a proportion of speaking time of the evaluatee in a predetermined period in the speech data acquired by the acquirer and a second evaluation based on a fundamental frequency in the speech data acquired by the acquirer; and an outputter that outputs an evaluation result obtained from the evaluation performed by the evaluator. 1. A cognitive function evaluation device , comprising:an acquirer that acquires speech data that indicates speech uttered by an evaluatee in response to a task given to the evaluatee;an evaluator that evaluates a cognitive function of the evaluatee by performing a first evaluation based on a proportion of speaking time of the evaluatee in a predetermined period in the speech data acquired by the acquirer and a second evaluation based on a fundamental frequency in the speech data acquired by the acquirer; andan outputter that outputs an evaluation result obtained from the evaluation performed by the evaluator.2. The cognitive function evaluation device according to claim 1 ,wherein the evaluator performs the first evaluation based on the proportion of speaking time of the evaluatee in the predetermined period that belongs to a latter half of the speech data.3. The cognitive function evaluation device according to claim 1 ,wherein the evaluator performs the first evaluation based on a comparison between the proportion of speaking time of the evaluatee in a first period in the speech data and the proportion of speaking time of the evaluatee in a second period in the speech data, the second period being after the first period.4. The cognitive function evaluation device according to claim 1 ,wherein the evaluator performs the second evaluation based on a variation per ...

Estimation device, program, estimation method, and estimation system

Includes an extraction unit that extracts first information on a physiological state of a subject and second information on at least one of an emotion and organ activity of the subject from information on a physiology of the subject; a calculation unit that obtains a degree of similarity between changes over time indicated by the first information and the second information which are extracted and calculates a shift amount from a predetermined state in which a homeostasis in the subject is maintained based on the obtained degree of similarity; and an estimation unit that estimates a pathology of the subject based on the calculated shift amount.

DETECTION OF HUMAN-MACHINE INTERACTION ERRORS

Disclosed are a system and method of detection of an interaction-error. The interaction-error is derived from an incorrect decision and is directed to interacting with a machine. During human-machine interaction, command related data values are obtained. Command related data values characterize any one of an interacting-command and an interacting-action. The command related data values are compared with command related reference data values, and an interaction-error is identified if a difference between the command related data values and the command related reference data values complies with a predefined criterion. 140-. (canceled)41. A human-machine interface system configured and operable to control the machine operation via monitoring cognitive brain commands of a user while operating the machine , wherein the human-machine interface system comprises:at least one sensor configured and operable to generate sensing data indicative of user's cognitive brain commands, anda computer processor configured for data communication with said at least one sensor, the computer processor being adapted to process said sensing data to identify, in said data indicative of user's cognitive brain commands, motor-command related data indicative of motor commands controlling the user interaction with the machine to perform one or more actions, wherein the computer processor comprises an error detector configured and operable to analyze the data indicative of motor-command related data and determine a relation of said motor command related data to command related reference data indicative of a condition of user's predicted error in his cognitive brain command, and upon identifying, based on the determined relation, that the motor command related data corresponds to said condition of user's predicted error in his cognitive brain command, generate and store data indicative of said predicted error condition, thereby enabling to carry out at least one of the following: (i) selectively ...

Performance of a Diagnostic Procedure Using a Wearable Computing Device

The present disclosure describes example systems and methods for identifying an indication of an injury of a user of a wearable computing device. The systems and methods may be directed to determining that an acceleration experienced by the wearable computing device exceeds a threshold value. In response, the wearable computing device may perform a diagnostic procedure in order to identify an indication of an injury experienced by the user of the wearable computing device. The diagnostic procedure may include one or more of an eye response test, a verbal response test, a motor response test, and a visual diagnostic test. 1. A method comprising:receiving, by a wearable computing device, a first signal that indicates deployment of an air bag of a vehicle; and receiving an indication of acceleration of the wearable computing device at or near a time of the indicated deployment of the air bag;', 'based on the indication of the acceleration, determining, by the wearable computing device, that the acceleration exceeds a threshold value; and', 'in response to determining that the acceleration exceeds the threshold value, performing, by the wearable computing device, a diagnostic procedure including one or more of the following procedures: an eye response test using a detector of the wearable computing device, a verbal response test using a microphone of the wearable computing device, a motor response test using at least one sensor of the wearable computing device, and a visual diagnostic test using at least one sensor of the wearable computing device., 'in response to receiving the first signal, the wearable computing device2. The method of claim 1 , wherein the wearable computing device is a head-worn computing device.3. The method of claim 1 , further comprising receiving an indication of whether the wearable computing device is being worn; wherein determining that the acceleration exceeds the threshold value is conditioned upon determining that the wearable computing ...

VOICE TRAINING THERAPY APP SYSTEM AND METHOD

A method of providing voice therapy or training to a patient or other person over a communications network. The method includes delivering by a server computer communicatively connected to the communications network, a digital exercise instruction to a user client device communicatively connected to the communications network. The method includes receiving over the communications network from the user client device a digital voice signal representing an analog voice signal input to the user client device by the patient or other person, and storing the digital voice signal in a database communicatively connected to the server computer. The method also includes delivering a website to a Speech Language Pathologist (SLP) device or other administrator device communicatively connected to the communications network and providing access to the digital voice signal to the administrator device. 1. A system for speech training over a computer network , comprising:a server device communicatively connected to the computer network, the server device includes at least a processor and memory;a user client device communicatively connected to the computer network, the user client device includes at least a microphone and an analog-to-digital converter;an administrator device communicatively connected to the computer network, the administrator device includes at least a digital-to-analog converter, a speaker and an input device;a database storage communicatively connected to the server device; mediating digital voice signals received from the user client device and digital exercise instructions from the administrator device;', 'storing in the database the digital voice signals received from the user client device;', 'serving a website portal of the server computer to the administrator device, the website portal allows the administrator device to retrieve the digital voice signals and to specify digital exercise instructions for the user client device; and', 'delivering the digital ...

PHYSIOLOGICAL ACOUSTIC MONITORING SYSTEM

An acoustic monitoring system has an acoustic front-end, a first signal path from the acoustic front-end directly to an audio transducer and a second signal path from the acoustic front-end to an acoustic data processor via an analog-to-digital converter. The acoustic front-end receives an acoustic sensor signal responsive to body sounds in a person. The audio transducer provides continuous audio of the body sounds. The acoustic data processor provides audio of the body sounds upon user demand. 17.-. (canceled)8. A method of generating synthetic physiological sound responsive to a signal detected by an acoustic sensor attached to a patient , the method comprising:processing, at a patient monitor, a signal from an acoustic sensor responsive to a piezoelectric modulation of the acoustic sensor;detecting envelope features in the processed signal responsive to a periodic physiological process;generating an idealized envelope based on the detected envelope features;comparing the signal with sound signatures corresponding to physiological sounds stored in a first data repository;detecting a physiological event from the processed signal based on the comparison of the signal with the sound signatures; andgenerating a synthetic physiological sound comprising a first sound corresponding to the generated idealized envelope and a second sound corresponding to a portion of the processed signal with the detected physiological event.9. The method of claim 8 , wherein the physiological sounds comprise breathing claim 8 , speech claim 8 , chocking claim 8 , swallow claim 8 , spasms claim 8 , coughing claim 8 , gasping claim 8 , heart claim 8 , and gastrointestinal sounds.10. The method of claim 8 , wherein the idealized envelope is represented as breath tag.11. The method of claim 10 , further comprising transmitting the breath tag over a network in lieu of the processed signal.12. The method of claim 11 , further comprising transmitting the portion of the signal over the network.13 ...

PAIN MANAGEMENT WEARABLE DEVICE

A computer implemented method for providing pain management using a wearable device determines a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user. The activity of the user includes one or combination of a type of the activity, a level of the activity, a location of the activity, and a duration of the activity. The method determines measurements of physiological and activity sensors of the wearable device to produce values of the physiological parameter and the activity of the user and predicts the intensity level of the pain based on the predictive model and the values of the physiological parameter and the activity of the user. The method executes actions based on the predicted intensity level of pain. 1. A computer implemented method for providing pain management using a wearable device , the method comprising: obtaining inputs from the user via a user interface, the inputs corresponding to the intensity level of an occurrence of pain experienced by the user;', 'obtaining physiological data from one or more physiological sensors;', 'obtaining activity data from one or more activity sensors including a combination of at least one motion sensor for determining the type of the activity and the duration of the activity and at least one sensor for determining the location of the activity;', 'wherein the physiological data and the activity data are taken concurrently with the occurrence of pain experienced by the user; and', 'correlating the intensity levels of the occurrence of pain experienced by the user with the obtained physiological data and the activity data to determine the predictive model;, 'determining a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user, wherein the activity of the user includes at ...

METHOD FOR CLASSIFYING ANAESTHETIC DEPTH IN OPERATIONSWITHTOTAL INTRAVENOUS ANAESTHESIA

The process for classifying anesthetic depth includes: collecting of biological signals, conditioning of said signals, monitoring of activity of the central and autonomic systems, measurement of indexes and classification of patterns in anesthetic depth. The activity includes: i) Awake: Vigil—Ak. and recovery of verbal response—Rc. ii) Light Anesthesia: Light induction anesthesia—Li. Light recovery—Lr, Light dose, increase in drugs or patient movement (La), iii) General anesthesia: General anesthesia—Ga, one minute after the start of the surgery, and iv) Deep anesthesia: identification of the EEG burst-suppression pattern (BSP) associated with deep anesthesia. 21. The method for classifying anesthetic depth according to claim ,wherein the biological signals recollection is performed by registering the EEG signal with an unilateral reference sensor that has an exploratory electrode and a reference electrode at a determined sampling frequency, and additionally by obtaining the NIBP at determined intervals and registering an ECG signal.31. The method classifying anesthetic depth according to claim , in which the conditioning of said signals is performed by applying a digital filter for the EEG and ECG signals , and then applying a threshold technique in wavelet components to decompose the ranges of frequency according to the levels under sampling frequency.41. The method for classifying anesthetic depth according to claim , wherein the monitoring of the activity of the central and autonomic nervous systems is extracted , wherein the patterns of the information contained in the EEG biological signals are identified using the CBI and ECG through the CVI , CSI indexes , and wherein the CBI is obtained from calculating the sample entropy (SampEn) and permuted entropy (PE) of the EEG signal.51. The method for classifying anesthetic depth according to claim , wherein the monitoring of the activity of the central and autonomic nervous systems comprises a single processing ...

COGNITIVE STABILIZER WHEELS FOR VEHICLES

An embodiment of the invention provides a method and system including a sensor on a vehicle and a processor connected to the sensor. The processor determines a probability of falling based on input from the sensor, whether the probability of falling exceeds a threshold, and a state of an operator of the vehicle. An actuator connected to the processor receives a signal from the processor when the probability of falling exceeds the threshold and when the state of the operator includes an impaired state. Stabilizer wheels are connected to the actuator, where the signal includes a command to deploy the stabilizer wheels. 1. A method comprising:receiving input from a sensor on a vehicle;determining a probability of falling based on the input;determining whether the probability of falling exceeds a threshold;determining a state of an operator of the vehicle with a processor;sending a signal to an actuator on the vehicle when the probability of falling exceeds the threshold and when the state of the operator includes an impaired state, the signal including a command to deploy stabilizer wheels on the vehicle.2. The method according to claim 1 , wherein the impaired state is selected from the group consisting of fatigued claim 1 , nauseous claim 1 , stressed claim 1 , intoxicated claim 1 , distracted claim 1 , and drowsy.3. The method according to claim 1 , wherein said determining of the state of the operator includes at least one of:analysis of a facial expression of the operator captured by a camera; oranalysis of audible input captured by a microphone, said audible input is selected from the group consisting of detected keywords, tone of spoken words, frequency of the spoken words, and pitch of the spoken words.4. The method according to claim 1 , further comprising creating and maintaining a profile of the operator claim 1 , the profile of the operator including at least one of a neurological disease claim 1 , a history of past falls claim 1 , or a history of past near ...

METHOD AND DEVICE FOR STUTTERING ALLEVIATION

A device for stuttering alleviation is disclosed, comprising a speech sensor, configured to output signals indicative of speech, a processing unit configured to detect stuttering, log stuttering and/or produce stimulation indication based on stimulation rules Said device may further comprise a remote server and a server user interface, configured to allow the speech therapist access to the processing unit. Further provided is a method for accelerating the learning procedure for obtaining a permanent fluent speech, comprising receiving and analyzing speech parameters, determining whether a negative reinforcement is required and executing the negative reinforcement. 1. A device for alleviating stuttering , the device comprising:a speech sensor configured to output a signal indicative of speech; anda processing unit configured to:receive the signal indicative of speech;detect stuttering; andlog stuttering and/or produce stimulation indication based on one or more stimulation rules.2. The device according to claim 1 , wherein the speech sensor comprises a vocal cord compartment claim 1 , a sound detecting compartment claim 1 , a breathing compartment or a combination thereof.3. The device according to claim 2 , wherein the sound detecting compartment comprises a microphone.4. The device according to claim 2 , wherein the vocal cord compartment comprises a vocal cord activity sensor.5. The device according to claim 4 , wherein the vocal cord activity sensor comprises electromyograph (EMG) claim 4 , electroglottograph (EGG) or a combination thereof.6. The device according to wherein the breathing compartment comprises a lung activity sensor7. The device according to claim 1 , wherein the processing unit is a standalone unit.8. The device according to claim 1 , wherein the processing unit is an application configured to run on a computer or a mobile device.9. The device according to claim 8 , wherein the mobile device comprises operating system claim 8 , comprising iOS ( ...

Electronic skin, preparation method and use thereof

The invention provides a piezoresistive electronic skin, a preparation method and a use thereof. The piezoresistive electronic skin uses carbon nanotube film as the conductive layer and uses materials provided with micro-nano patterns, such as polydimethylsiloxane, polyethylene terephthalate, polyvinyl alcohol, polyvinyl formal, polyethylene, and so on, as the substrate, enabling the substrate has advantages of high flexibility and being pliable, and it needs low operating voltage and little power consumption, but has high sensitivity and short response time. More importantly, the invention uses the patterned flexible substrate as the basis, greatly improving the sensitivity of electronic skin reacting to tiny applied force from outside. The invention also provides a capacitive electronic skin and a preparation method thereof. Further, the invention also provides a use of the piezoresistive electronic skin or the capacitive electronic skin on speech recognition, pulse detection, medical robot, etc.

DEVICE FOR THE IMPLEMENTATION OF SERIOUS GAMES FOR THE PREVENTION AND/OR TREATMENT OF MENTAL DISORDERS

Provided is a device for the implementation of serious games, i.e. for the presentation of digital games, which do not serve the purpose of entertainment, but the mediation of therapeutic content in the form of images, films, colors, sounds, etc., but may well contain such elements, for the treatment of mental disorders, whereby an authentic and credible, but also entertaining learning experience is the focus of interest in order to achieve a therapeutic result. 1. A device for the implementation of serious games for the prevention and/or treatment of mental disorders , comprisinga. At least a facility for the representation of experiential spaces,b. Sensors for physiological measurement of body functions,c. Facilities for collecting and storing environmental data,d. a module for recording and storing subjective raw data,e. a module for recording and storing therapeutic guideline values,f. Facilities for evaluating sensor and environmental data and raw subjective data to calculate feedback coefficients,g. Facilities for automated interpretation of feedback coefficients, taking into account therapeutic benchmarks and deriving a feedback decision,h. A module to control the facilities to display experiential spaces in response to the feedback decision,i. Facilities for external monitoring of sensor data and feedback decisions, andj. Facilities for external manipulation of feedback decisions.2. The device according to claim 1 , characterized in that the devices for calculating feedback coefficients are configured in such a way that the feedback coefficients are calculated repetitively at defined time intervals.3. The device according to claim 1 , characterized in that the sensors are those for measuring psychophysiological activities claim 1 , selected from the group:a. Cardiovascular activities, such as heart rate, heart rate variability, respiration/oxygenation of blood via electrocardiogram (ECG) or optical sensor;b. Brain activities, such as electrical events of ...

System and Method for Evaluating Vocal Function Using an Impedance-Based Inverse Filtering of Neck Surface Acceleration

A system and method to assess vocal function of a subject. The system includes an accelerometer configured to acquire surface acceleration data associated with vocal functionality of the subject and a computer system configured to analyze the surface acceleration data and to estimate glottal airflow waveforms produced by the subject based on the surface acceleration data. The computer system performs the analysis and estimation by applying an inverse filter to the surface acceleration data based on a calibrated transmission line model and generates an indication of vocal functionality of the subject based on the estimated glottal airflow waveforms. 1. A computer implemented method for evaluating vocal function of a subject , the method comprising the steps of:(a) collecting surface acceleration data from an accelerometer, the accelerometer adapted to be coupled to a neck of the subject;(b) obtaining at least one other physiological indication signal from the subject;(c) transforming the surface acceleration data into an estimated glottal airflow waveform by applying an inverse filter to the surface acceleration data based on a basis transmission line model;(d) comparing at least one portion of the estimated glottal airflow waveform to the at least one other physiological signal;(e) adjusting at least one parameter of the basis transmission line model based on the comparing step to yield a calibrated transmission line model;(f) reapplying the inverse filter to the surface acceleration data based on the calibrated transmission line model to obtain a new estimated glottal airflow waveform;(g) repeating at least steps (a) through (c) and analyzing at least one portion of the new estimated glottal airflow waveform against at least a portion of the estimated glottal airflow waveform; and(h) generating an indication of vocal function of the subject based on at least the analyzing of step (g);wherein the basis transmission line model and the calibrated transmission line ...

Method for evaluating multi-modal emotion cognition capability of patient with autism spectrum disorder

A method for evaluating a multi-modal emotion cognition capability of a patient with an autism spectrum disorder, mainly includes the following steps: (1) setting a multi-modal evaluation environment, where the multi-modal evaluation environment is used to stimulate a tested object; and the multi-modal evaluation environment includes: a visual scene, a verbal communication scene, and an emotional communication scene; (2) collecting multi-modal evaluation information, where the evaluation information includes: intelligence information, behavioral data, and eye movement data of the tested object; and (3) performing statistical analysis, to obtain an emotion cognition capability of the tested object, where the performing statistical analysis includes: performing statistical analysis on the behavioral data, performing statistical analysis on the eye movement data, and performing statistical analysis on a combination of the behavioral data and the eye movement data.

REAL TIME BIOMETRIC RECORDING, INFORMATION ANALYTICS AND MONITORING SYSTEMS FOR BEHAVIORAL HEALTH MANAGEMENT

The present invention provides a novel system of hardware designed to capture and process in real time clinical observations of patient responses and reactions in different clinical and patient settings and situations, comprising: a patient biometric data recording system in a clinical office, a mobile real time episode or event data recording device syste or a wearable device recording system. 1. A system of hardware designed to capture and process in real time clinical observations of patient responses and reactions in different clinical and patient settings and situations , comprising: a patient biometric data recording system in a clinical office , a mobile real time episode or event data recording device system , or a wearable device recording system.2. The system of hardware of claim 1 , wherein the hardware comprises: one or more biometric sensors integrated into devices with user option to select one or more of the sensors claim 1 , and devices with a capability to process claim 1 , analyze and fuse sensors' raw output data through software programs and analytical tools.3. The system of hardware of claim 1 , wherein the sensors' raw output data is transmitted to a cloud-based server architecture for processing claim 1 , analysis and integration into an information database.4. The system of hardware of claim 1 , wherein the data recording systems comprises one or more sensors designed to capture and measure changes in physiological parameters selected from: blood pressure claim 1 , pulse rate claim 1 , respiratory rate claim 1 , breathing rate claim 1 , blood oxygenation level claim 1 , galvanic skin conductance claim 1 , facial skin tone claim 1 , changes in pupil size claim 1 , tracking pupil movements claim 1 , changes and frequency of eyelid flutter claim 1 , changes in sitting postures or bodily movements claim 1 , unusual gestures or motions claim 1 , movement of the leg or hand muscles claim 1 , changes in voice pitch and tone and perturbation and ...

PROCESS FOR EVALUATION OF AT LEAST ONE FACIAL CLINICAL SIGN

The present invention relates to a process without a therapeutic target that evaluates at least one facial clinical sign and/or evaluates make-up, in particular evaluates wrinkles or fme lines from a portion of the face, including steps consisting in:—from a sequence of facial images of a person filmed while emitting at least one sound, extract from the sequence one or more images coinciding with the emission of at least one predefined sound,—from the resulting image or images extracted, evaluate at least one facial clinical sign appearing on the image or images extracted and/or evaluate at least one characteristic related to make-up. 119-. (canceled)20. A method to evaluate at least one facial clinical sign and/or make-up , comprising:from a sequence of facial images of a person filmed while emitting at least one sound, extract from the sequence one or more images coinciding with the emission of at least one predefined sound,from the resulting image or images extracted, evaluate at least one facial clinical sign appearing on the image or images extracted and/or evaluate at least one characteristic related to make-up.21. The method according to claim 20 , wherein the image extraction is automatic claim 20 , resulting from an analysis of the sound emitted.22. The method according to claim 20 , wherein at least one sound to reproduce is displayed in front of the person filmed.23. The method according to claim 20 , wherein the images extracted are compared with reference images.24. The method according to claim 20 , wherein the sequence includes images concerning the presence of wrinkles or fine lines at the corners of the lips claim 20 , under the eye claim 20 , the upper lip claim 20 , crow's feet claim 20 , and/or the nasolabial fold.25. The method according to claim 24 , the sequence including images of the entire face.26. The method according to claim 20 , wherein the evaluation of the clinical sign or signs from the image or images extracted occurs automatically ...

SYSTEMS AND METHODS FOR DETECTING AND ANALYZING BIOSIGNALS

A system for monitoring biosignals of a user includes a first end region, positionable proximate a first ear of a user and including a first sensor array; a second end region, positionable proximate a second ear of the user and including a second sensor array; an intermediate region, positionable on a neck region of the user; a coupling element configured to couple the first and second end regions to the intermediate region; and a first attachment element and a second attachment element. The first attachment element couples the first end region to a head-mounted accessory and the second attachment element couples the second end region to the head-mounted accessory. The first end region includes a first electrode and the second end region includes a second electrode, such that there is a fixed distance between the first and second electrodes. 1. A system for monitoring biosignals of a user , the system comprising:a first end region, positionable proximate a first ear of a user, comprising a first sensor array;a second end region, positionable proximate a second ear of the user, comprising a second sensor array;an intermediate region, positionable on a neck region of the user;a coupling element configured to couple the first and second end regions to the intermediate region; anda first attachment element and a second attachment element, wherein the first attachment element couples the first end region to a head-mounted accessory and the second attachment element couples the second end region to the head-mounted accessory.2. The system of claim 1 , wherein each attachment element comprises a sleeve defining an aperture configured to slidably receive a temple or temple end of the head-mounted accessory.3. The system of claim 2 , wherein a diameter of the aperture defined by the sleeve is adjustable.4. The system of claim 1 , wherein the coupling element electrically and physically couples the first and second end regions to the intermediate region.5. The system of claim ...

METHOD AND APPARATUS FOR MONITORING A FUNCTIONAL CAPACITY OF AN INDIVIDUAL

Aspects of the subject disclosure may include, for example, a system for detecting a wearable device worn by a monitored individual, notifying a system of the detecting of the wearable device worn by the monitored individual, receiving provisioning information from the system, and provisioning the wearable device according to the provisioning information. The provisioning information can configure the wearable device to provide information associated with the monitored individual to a monitoring device to enable the monitoring device to provide healthcare services to the monitored individual. Other embodiments are disclosed. 1. A method , comprising:receiving, by a system including a processor, sensor data associated with a monitored individual;determining, by the system, from the sensor data a biological trend of the monitored individual;detecting, by the system according to the biological trend, an incapacity of the monitored individual; andgenerating, by the system, an alert indicating the incapacity of the monitored individual.2. The method of claim 1 , wherein responsive to the detecting the method further comprises:submitting a prompt to equipment used by the monitored individual;receiving from the equipment a response to the prompt, the response generated by the monitored individual; anddetecting the incapacity according to the response and the biological trend.3. The method of claim 1 , wherein the sensor data comprises first sensor data generated by a first sensor and second sensor data generated by a second sensor claim 1 , and wherein the determining comprises:generating a comparative measurement according to the first sensor data and the second sensor data; anddetermining the biological trend of the monitored individual according to the comparative measurement.4. The method of claim 1 , wherein the sensor data comprises behavioral data claim 1 , and wherein the determining comprises:detecting an adverse behavior according to the behavioral data; ...

Automatic Detection Of Neurocognitive Impairment Based On A Speech Sample

The invention is a method for automatic detection of neurocognitive impairment, comprising, 211. The method according to claim 1 , characterised by applying phoneme labels claim 1 , silent pause labels and filled pause labels in the segmentation and labelling step ().311. The method according to claim 2 , characterised by applying separate respective phoneme labels for each phoneme in the segmentation and labelling step ().41422. The method according to claim 1 , characterised by dividing claim 1 , for the probability analysis step () claim 1 , the speech sample () into temporal intervals of identical lengths.522. The method according to claim 4 , characterised by dividing the speech sample () into overlapping temporal intervals.6. The method according to claim 5 , characterised by applying temporal intervals having a length of 10-50 ms and overlapping with each other to an extent of 20-50%.71126. The method according to claim 4 , characterised by determining claim 4 , in the segmentation and labelling step () claim 4 , elements and labels of the labelled segment series () based on a highest probability value occurring in the corresponding temporal intervals.815. The method according to claim 1 , characterised by dividing claim 1 , in the additional parameter calculating step () claim 1 , the entire probability domain into subdomains of equal size claim 1 , preferably into at least ten subdomains claim 1 , more preferably into twenty or fifty subdomains claim 1 , for calculating the histogram.91542. The method according to claim 1 , characterised by calculating claim 1 , in the additional parameter calculating step () claim 1 , a cumulative histogram claim 1 , by generating the elements of the additional histogram data set ()from intervals having a probability that is higher than a lower limit of the respective probability subdomain, orfrom intervals having a probability that is lower than an upper limit of the respective probability subdomain.101334. The method ...

Vital-sign detection system and contorl method therefor

A vital-sign detection system is provided. The vital-sign detection system includes a vital-sign detection device and a controller. The vital-sign detection device is enabled to detect a vital-sign of a user. The controller determines whether the gets in the bed and controls the vital-sign detection device to switch to a disabled mode from a first enabled mode in response to the user getting in the bed. During a period when the vital-sign detection device is in the disabled mode, the controller determines whether the user falls asleep. In response to the user falling asleep, the controller controls the vital-sign detection device to switch to a second enabled mode from the disabled mode.

Systems and methods for diagnosing a stroke condition

A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

METHOD FOR PREDICTING COMFORTABLE SLEEP BASED ON ARTIFICIAL INTELLIGENCE

Provided are a method of analyzing sleep and an AI server having a sleep analysis function. The method of analyzing sleep using an AI server includes receiving sleep state data obtained through a monitoring device; determining factors affecting a sleep time by applying the sleep state data to a previously trained sleep analysis model; and determining an appropriate sleep time by applying the factors affecting the sleep time to the previously trained sleep time estimation model. Therefore, by easily estimating an appropriate sleep time of a user, the method can contribute to a user's health promotion. Artificial intelligent device according to the present invention may be linked with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like. 1. A method of analyzing sleep using an AI server , the method comprising:receiving sleep state data obtained through a monitoring device;determining factors affecting a sleep time by applying the sleep state data to a previously trained sleep analysis model; anddetermining an appropriate sleep time by applying the factors affecting the sleep time to the previously trained sleep time estimation model,wherein the sleep state data comprise at least one of image information, voice information, or past sleep history information of a user.2. The method of claim 1 , wherein the monitoring device comprises at least one of a camera or a microphone.3. The method of claim 1 , wherein the image information comprises at least one of facial recognition information before sleep claim 1 , facial recognition information upon waking up claim 1 , motion information upon waking up claim 1 , sleep time information claim 1 , or time information required to wake-up after alarming.4. The method of claim 1 , wherein the voice information comprises at least one of loudness information claim 1 , frequency information ...

BODY NOISE-BASED HEALTH MONITORING

Presented herein are techniques that can be used to track/monitor the health/well-being of an individual, such as person of an implantable medical prosthesis system, in a manner that protects the individual's privacy. In particular, a system in accordance with embodiments presented herein comprises one or more sensors configured to detect signals that may comprise one or more of external acoustic sounds and/or body noises (i.e., sounds originating from within the body of the person). The outputs from one or more sensors are analyzed to identify and categorize the individual's body noises present in the detected signals. The body noises are categorized in terms of the person's current/real-time activity. 1. A system , comprising:at least a first sensor configured to be implanted in or worn on a person, wherein the at least first sensor is configured to detect body noises of the person; andan activity classifier configured to determine, based at least on the body noises, an activity classification of a current activity of the person.2. The system of claim 1 , further comprising:at least a second sensor configured to detect external acoustic sound signals that are associated with the signals of the first sensor; andwherein the activity classifier configured to determine the person's current activity based at least on the body noises and the external acoustic sound signals associated with signals of the first sensor.3. The system of claim 2 , wherein the activity classifier is configured to:over a first period of time, generate a first plurality of activity classifications for the person; andover a second period of time, generate a second plurality of activity classifications for the person based on the body noises, the external acoustic sound signals associated with signals of the first sensor, and the first plurality of activity classifications generated over the first period of time.4. The system of claim 1 , wherein the activity classifier is configured to claim 1 , ...

Analysis and prompting System, and Method for use with the same

An analysis and prompting system, and method for use with the same, which, through acquisition of a behavioral situation in which a subject under analysis is situated and an actual behavior executed by the subject under analysis, and based on a set of standard situational data and a set of standard behavioral data stored in a database, analyzes whether the actual behavior of the subject under analysis executed under the behavioral situation is abnormal, and thereby determines and prompts whether the subject under analysis suffers from a cognitive disorder. 1. An analysis and prompting system , which analyzes and prompts whether an actual behavior executed by a subject under analysis under a behavioral situation is abnormal , including:a database, which stores a set of standard situational data and a set of standard behavioral data in correspondence, the standard situational data representing the behavioral situation, the standard behavioral data representing a standard behavior which has to be executed under the behavioral situation;an acquisition module, which acquires the behavioral situation in which the subject under analysis is situated, and generates a set of actual situational data according thereto, as well as acquires the actual behavior executed by the subject under analysis, and generates a set of actual behavioral data according thereto;an analysis module, which searches for standard situational data which match with the actual situational data from the database, and retrieves standard behavioral data in correspondence with the standard situational data from the database, for determining whether the actual behavior executed by the subject under analysis matches with the standard behavior which has to be executed under the behavioral situation by comparing the standard behavioral data and the actual behavioral data, in order to analyze whether the actual behavior executed by the subject under analysis is abnormal; anda prompt module, which prompts an ...

EAR-WORN ELECTRONIC DEVICE FOR CONDUCTING AND MONITORING MENTAL EXERCISES

An ear-worn electronic device includes a right ear device comprising a first processor and a left ear device comprising a second processor communicatively coupled to the first processor. A physiologic sensor module comprises one or more physiologic sensors configured to sense at least one physiologic parameter from a wearer. A motion sensor module comprises one or more sensors configured to sense movement of the wearer. The first and second processors are coupled to the physiologic and motion sensor modules. The first and second processors are configured to produce a three-dimensional virtual sound environment comprising relaxing sounds, generate verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation, and generate verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the sensed movement and the at least one physiologic parameter. 1. A method implemented by an ear-worn electronic device configured to be worn by a wearer and comprising a right ear device and a left ear device , the method comprising:producing, by the ear-worn electronic device, a three-dimensional virtual sound environment comprising relaxing sounds;generating, by the ear-worn electronic device, verbal instructions within the three-dimensional virtual sound environment that guide the wearer through a predetermined mental exercise that promotes wearer relaxation;sensing, during the predetermined mental exercise, at least one physiologic parameter from the wearer by the ear-worn electronic device;sensing, during the predetermined mental exercise, movement of the wearer by the ear-worn electronic device; andgenerating, by the ear-worn electronic device, verbal commentary that assesses wearer compliance with the predetermined mental exercise in response to one or both of the at least one physiologic parameter and the sensed ...

Computational Model for Mood

According to some aspects, disclosed methods and systems may include having a user input one or more speech commands into an input device of a user device. The user device may communicate with one or more components or devices at a local office or headend. The local office or the user device may transcribe the speech commands into language transcriptions. The local office or the user device may determine a mood for the user based on whether any of the speech commands may have been repeated. The local office or the user device may determine, based on the mood of the user, which content asset or content service to make available to the user device.

Handheld Radio Device for Assessing Cognitive, Auditory, Visual, and Speech Function

A handheld radio device that incorporates within equipment typically carried by a first-responder but with added functionality which enables assessments of a subject's cognitive, auditory, visual, and speech function. In addition to providing two-way tactical radio functionality, the handheld radio device operates to generate haptic, audible, and visual stimuli, and then assess a subject utilizing the handheld radio device based on the subject's responses to the stimuli on the interfaces and sensors of the handheld radio device. Because this functionality is provided in equipment this is already typically carried by the first-responder, assessments that are more forward-deployed and closer to the point and time of injury, exposure, or period of interest can occur. 1. An apparatus for assessing cognitive , auditory , visual , and/or speech function , comprising:a handheld radio device having a body that includes at least an internal controller and an internal battery, wherein said body includes an integral microphone, vibrator, accelerometer, gyroscope, magnetometer, and global positioning system interface which are each operatively connected to said controller;a communications system integral with said body and connected to said controller, wherein said handheld radio device is configured to provide two-way tactical radio communication functionality that utilizes multiple VHF/UHF or cellular frequency bands through said communications system;a user talk interface integral with said body and connected to said controller, wherein said user talk interface is adapted to activate the integral microphone in response to predetermined action from a user;a sound interface integral with said body and connected to said controller, wherein said handheld radio device is configured to transduce electrical audio signals with said sound interface;at least one mechanical tactile interface integral with said body and connected to said controller, wherein said at least one mechanical ...

SPEECH PRODUCTION AND THE MANAGEMENT/PREDICTION OF HEARING LOSS

A method, including obtaining hearing data and speech data for a statistically significant number of individuals, and analyzing the obtained hearing data and speech data using a neural network to develop a predictive algorithm for hearing loss based on the results of the analysis, wherein the predictive algorithm predicts hearing loss based on input indicative of speech of a hearing impaired person who is not one of the individuals. 1. A method , comprising:obtaining hearing data and speech data for a statistically significant number of individuals; andanalyzing the obtained hearing data and speech data using machine learning to develop a predictive algorithm for hearing loss based on the results of the analysis, wherein the predictive algorithm predicts hearing loss based on input indicative of speech of a hearing impaired person who is not one of the individuals.2. The method of claim 1 , wherein:the predictive algorithm is not focused on a specific speech feature.3. The method of claim 1 , wherein:the action of analyzing the obtained hearing data machine-trains a system that results in the developed predictive algorithm.4. The method of claim 1 , wherein:of the obtained hearing data and speech data, a portion thereof is used, in a neural network, for training and a portion thereof is used, in the neural network, for verification.5. The method of claim 1 , wherein:the machine learning develops the predictive algorithm by internally identifying important features from the obtained hearing data and speech data.6. The method of claim 1 , wherein:the predictive algorithm utilizes an complex arrangement number of features present in the speech data to predict hearing loss.7. The method of claim 1 , further comprising:obtaining biographical data for the individuals of the statistically significant number of individuals;analyzing the obtained hearing data and speech data and the obtained biographical data using a neural network to develop a predictive algorithm for ...

METHOD FOR DETERMINING ALCOHOL CONSUMPTION, AND RECORDING MEDIUM AND TERMINAL FOR CARRYING OUT SAME

Disclosed is a method for determining alcohol consumption capable of analyzing alcohol consumption in a time domain by analyzing a formant slope of a voice signal, and a recording medium and a terminal for carrying out same. An terminal for determining whether a person is drunk comprises: a voice input unit for generating a voice frame by receiving a voice signal; a voiced/unvoiced sound analysis unit for determining whether a received voiced frame corresponds to a voiced sound; a formant frequency extraction unit for extracting a plurality of formant frequencies of the voice frame corresponding to the voiced sound; and an alcohol consumption determining unit for calculating a formant slope between the plurality of formant frequencies, and determining the state of alcohol consumption depending on the formant slope, thereby determining whether a person is drunk by analyzing the formant slope of an inputted voice. 110-. (canceled)11. A method for determining whether a person is drunk comprising:receiving a voice signal from said person and converting the received voice signal into a plurality of voice frames;extracting a voice frame corresponding to a voiced sound among the plurality of voice frames;extracting a plurality of formant frequencies of the voice frame corresponding to the voiced sound;calculating a formant slope between two formant frequencies among the plurality of formant frequencies; anddetermining whether said person is drunk according to the calculated formant slope.12. The method of claim 11 , wherein the extracting a voice frame corresponding to a voiced sound among the plurality of voice frames comprises:extracting predetermined features from a voice frame among the plurality of voice frames, anddetermining whether said voice frame is from a voiced sound, an unvoiced sound, or background noise.13. The method of claim 12 , wherein the predetermined features comprise periodic characteristics of harmonics claim 12 , root mean square energy (RMSE) ...

Tracking the fundamental frequency of a voice signal in real time

The invention relates to a method and an apparatus for tracking a fundamental frequency of a voice signal. A sampling device samples a voice signal of a test person for a predetermined period of time (S 1 ), thus obtaining sampling data of the voice signal, forms a data packet from the sampling data (S 2 ), and sends the data packet to a calculating device (S 3 ). The calculating device receives the data packet (S 5 ) and calculates a fundamental frequency of the voice signal by means of the sampling data contained in the data packet (S 6 ). The sampling device sets a timer based on the fundamental frequency calculated by the calculating device and outputs a trigger signal upon expiration of the timer (S 11 ).

SWALLOWING ASSESSMENT AND IMPROVEMENT SYSTEMS AND METHODS

The present disclosure relates to devices, systems, and methods for assessing and altering swallowing, speech, and breathing function. In particular, the present disclosure relates to devices and systems to assess and improve speech, breathing, and swallowing function in subjects in need thereof. 1. A system for assessing swallowing function , comprising: a) an intraoral device comprising an adjustably bendable metal frame having a central linear portion comprising a proximal end positioned towards an anterior opening of a mouth and a distal end positioned towards a back of the mouth when said intraoral device is placed into a subject's mouth; a first pressure sensor positioned on a first region of said frame; and a second pressure sensor positioned on a second region of said central linear portion of said frame near said distal end of said central linear portion , wherein said second region of said central linear portion of said frame positions said second pressure sensor at a boundary between a subject's hard and soft palate when said intraoral device is placed into a subject's mouth; and b) a computing device comprising a display and comprising a processor in electronic communication with said pressure sensors wherein said processor is configured to display a diagnostic and therapeutic protocol to said subject that instructs said subject to actuate said pressure sensors with the subject's tongue over a period of time to improve lingual strength.2. The system of claim 1 , wherein said frame is stainless steel.3. The system of claim 1 , wherein said pressure sensors are located on an upper or lower surface of said frame.4. The system of claim 1 , wherein said pressure sensors comprise solid state pressure sensors.5. The system claim 1 , wherein said pressure sensors are polymer thick film (PTF) sensors that exhibit a decrease in resistance with increase in force applied to the surface of the sensor.6. The system claim 1 , wherein the computing device comprises a ...

INTERACTIVE VIRTUAL CARE

An interactive virtual care system may include a user sensory module to acquire multi-modal user data related to user movement. A data analysis module may compare the multi-modal user data to predetermined historical user data and/or statistical norm data for users to identify an anomaly in the user movement. 120-. (canceled)21. An interactive virtual care system comprising:a user sensory module comprising at least one sensory device to acquire user data related to user movement of at least one portion of a user's body, the user movement of the at least one portion of the user's body being performed at a distance away from the user sensory module, ["digitize, in real-time, the user movement of the at least one portion of the user's body based on an interpretation of the acquired user data by the user sensory module, and", "produce a computer-generated version of the user movement of the at least one portion of the user's body to enable display of the digitized user movement of the at least one portion of the user's body, and to enable highlighting of the digitized user movement of the at least one portion of the user's body in the display of the digitized user movement of the at least one portion of the user's body, wherein the computer-generated version of the user movement of the at least one portion of the user's body includes joints of the user's body displayed as connectors and/or skeletal features of the user's body displayed as line segments between the connectors; and"], 'wherein the user sensory module is further to receive the acquired user data from the user sensory module, and', "compare the acquired user data to predetermined historical user data and/or statistical norm data for similar users to identify at least one anomaly in the user movement of the at least one portion of the user's body."], 'a data analysis module, executed by a processor, to22. The system of claim 21 , wherein the at least one sensory device comprises a video sensor to acquire a ...

Wearable measurement device

The wearable measurement device includes a mounting part for mounting the device to a human body, a variation detection part detecting the movement of a predetermined portion of the human body while not being in contact with the predetermined portion, and a measurement part measuring the number of predetermined motions or time of motion based on the movement detected by the variation detection part. The variation detection part includes a light emitting unit and a light receiving unit, makes the light emitting unit emit light and the light receiving unit detect reflection light reflected at a predetermined portion, detects a distance from the predetermined portion and outputs an electric signal (voltage or current) in accordance with the detected distance at a predetermined sampling cycle.

SYSTEM, DEVICE AND METHOD FOR REMOTELY MONITORING THE WELL-BEING OF A USER WITH A WEARABLE DEVICE

Systems, devices, methods for providing a speech pattern as a metric of well-being system for remotely monitoring the well-being of a patient are disclosed. In one exemplary embodiment, a system can include at least one wearable device that is configured to collect body sensor data and speech pattern data associated with a patient wearing the device and analyze the data to determine if the patient's emotional well-being is compromised. In some exemplary embodiments, the wearable device can be configured to send an alert to at least one caregiver device that indicates the patient's emotional well-being is compromised. The wearable device can also be configured to send recommendations on courses of action to alleviate the condition. 2. (canceled)3. The method according to claim 1 , wherein the depression alert is triggered when the non-interaction value is less than the minimum non-interaction value and a blood pressure reading from a wearable device blood pressure sensor is less than a minimum blood pressure.4. The method according to claim 1 , wherein the depression alert is triggered when the non-interaction value is less than the minimum non-interaction value and a pulse reading from a wearable device pulse sensor is less than or equal to a minimum pulse.5. The method according to claim 1 , wherein the depression alert is triggered when the non-interaction value is less than the minimum non-interaction value and a heart rate variability reading from a wearable device pulse sensor is less than or equal to a minimum HRV.6. The method according to claim 1 , wherein said calculating a non-interaction value includes:recording audio data obtained by the speech sensor;analyzing the audio data to isolate user speech from ambient sound; andcalculating a percent of time that the user has not spoken from the user speech audio.7. The method according to claim 6 , wherein said analyzing the audio data to isolate user speech from ambient sound includes isolating user speech ...

DAILY COGNITIVE MONITORING OF EARLY SIGNS OF HEARING LOSS

In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The embodied program instructions are executable by a processing circuit to cause the processing circuit to receive collected data from one or more data collection devices. The collected data is aggregated over a period of time lasting at least one month, and the collected data includes audio data of a user of the one or more data collection devices. The embodied program instructions also cause the processing circuit to store the audio data to a computer readable storage medium. Moreover, the embodied program instructions cause the processing circuit to analyze the audio data for indications of hearing loss in the user over the period of time. 1. A system , comprising: receive collected data from one or more data collection devices, the collected data being aggregated over a period of time lasting at least one month, wherein the collected data comprises audio data of a user of the one or more data collection devices;', 'store the audio data to a computer readable storage medium; and', 'analyze the audio data for indications of hearing loss in the user over the period of time., 'a processing circuit and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor, the logic being configured to cause the processing circuit to2. The system as recited in claim 1 , wherein the logic is further configured to cause the processing circuit to:determine metadata about the audio data, the metadata comprising at least an identification of the user and a timestamp for the audio data; andstore the metadata with the audio data as a tuple having two or more values.3. The system as recited in claim 2 , wherein the metadata further comprises information selected from a group comprising: a speaking volume of the user during a conversation claim 2 , a second speaking volume of another party the ...

Patient-centered assistive system for multi-therapy adherence intervention and care management

A patient-centered assistive system for multi-therapy adherence intervention and care management. The intervention may be implemented in the form of a wearable device providing one or more features of medication adherence, voice, data, SMS reminders, alerts, location via SMS, and 911 emergency. Embodiments of the present disclosure may function in combination with an application software accessible to multiple clients (users) executable on a remote server to provide patient education, support, social contact, management of daily activities, safety monitoring, symptoms management, adverse events reporting, as well as support for caregivers, and feedback for healthcare providers during the management of patients with multimorbidity. Alternative embodiments implementing monitoring and intervention include using mobile apps or voice-controlled speech interface devices to access cloud control services capable of processing automated voice recognition-response and natural language understanding-processing to perform functions and fulfill user requests.

DETERMINATION AND ASSOCIATION OF TRUE FLOW STATES

A method of detecting and measuring true human peak performance and the flow of wellbeing using wearable or embedded sensors that detect human calibration to high resonant frequencies (“flow state”) in the human mind, heart and body and determine associations with anything that may have correlated or influenced a flow state and methods for sharing inner value with those associations. The method includes detecting a triggering event that inspired flow state and creating a digital blockchain “flow” token to virtually represent, reward and store intrinsic value of a person in a true flow state. The method includes various ways of sharing intrinsic value flow tokens with anyone or anything that is determined to be correlated with achievement of a true flow state. Further methods authenticate content created in a peak flow state and filter or prioritize the authenticity and value of content based on a “flow rate” or truth detector. 1. A method of measuring and validating Flow State in a person , by a processing device , by any means of measurement(s) , or combinations thereof , including but not limited to the following:i. Heart-beat rate and/or heart rate variability (e.g. Heartmath);ii. Magnetic fields of any cells or organs in the human body (e.g. the heart field, solar plexus, brain, hypothalamus, amygdala, etc.);iii. Brain wave activity or frequency (e.g. gamma waves, determining thought content or patterns, etc.);iv. Solar plexus gut activity/signals;v. Cellular, hormonal, or neurotransmitter activity/signals;vi. Pupil dilation;vii. Electrodermal activity (EDA);viii. Skin Conductance Response (SCR) and in particular low or high resistance, high or low capacitance and surges or pulses of energy resulting in sudden or dramatic changes in resistance or capacitance of the skin;ix. Electrical or magnetic potential differences or dramatic changes in electrical or magnetic conductivity or potential differences inside or on the body;x. Changes in resistance on the skin or ...

EMOTIVE ADVISORY SYSTEM AND METHOD

Information about a device may be emotively conveyed to a user of the device. Input indicative of an operating state of the device may be received. The input may be transformed into data representing a simulated emotional state. Data representing an avatar that expresses the simulated emotional state may be generated and displayed. A query from the user regarding the simulated emotional state expressed by the avatar may be received. The query may be responded to. 1. A method for emotively conveying information to a user of a device comprising:receiving input indicative of an operating state of the device;transforming the input into data representing a simulated emotional state;generating data representing an avatar that expresses the simulated emotional state, the simulated emotional state conveying information to the user about the operating state of the device;displaying the avatar;receiving a query from the user regarding the simulated emotional state expressed by the avatar; andresponding to the query.2. The method of further comprising determining whether a predetermined event has occurred and initiating a spoken dialog with the user regarding the operating state of the device if the predetermined event has occurred.3. The method of wherein the spoken dialog includes at least one speech characteristic indicative of the simulated emotional state expressed by the avatar.4. A method for conveying information to a user of a device comprising:a step for receiving input indicative of an operating state of the device;a step for transforming the input into data representing a simulated emotional state;a step for generating data representing an avatar that expresses the simulated emotional state, the simulated emotional state conveying information to the user about the operating state of the device; anda step for displaying the avatar.5. A method for emotively conveying information to a user of an automotive vehicle comprising:receiving input indicative of an operating ...

BIOMETRIC SENSOR DEVICE FOR DIGITAL QUANTITATIVE PHENOTYPING

A biometric sensor device system including a biometric sensor device, and a prediction computer. The biometric sensor device includes at least one camera, and a biometric sensor device processor configured to record a time synchronized communicative interaction between participants, by controlling at least one camera to record the participants over a time period, and transfer the recorded communicative interaction to the prediction computer. The prediction computer including a prediction computer processor configured to extract, from the recorded communicative interaction, a physical characteristic of each of the participants over the time period, compare the physical characteristic of at least one of the participants with the physical characteristic of at least another one of the participants over the time period, and classify or score at least one of the participants according to a predetermined classification or dimensional scoring scheme based on the comparison. 1. A biometric sensor device system comprising:a biometric sensor device; anda prediction computer, at least one camera, and', record a time synchronized communicative interaction between participants, by controlling at least one camera to record the participants over a time period, and', 'transfer the recorded communicative interaction to the prediction computer,, 'a biometric sensor device processor configured to], 'the biometric sensor device including extract, from the recorded communicative interaction, a physical characteristic of each of the participants over the time period,', 'compare, the physical characteristic of at least one of the participants with the physical characteristic of at least another one of the participants over the time period, and', 'classify or score at least one of the participants according to a predetermined classification or dimensional scoring scheme based on the comparison., 'a prediction computer processor configured to, 'the prediction computer including2. The ...

DETECTION OF A SIGN OF COGNITIVE DECLINE FOCUSING ON CHANGE IN TOPIC SIMILARITY OVER CONVERSATIONS

A computer-implemented method for supporting detection of a sign of cognitive decline is disclosed. In the method, a reference set of conversational data recorded for an individual and one or more sets of conversational data recorded for the individual on different days from the reference set are obtained. The method includes evaluating at least a temporal separation between conversations corresponding to the reference set and each of the one or more sets of the conversational data determine a value of the temporal separation. The method also includes determining topic similarity between the reference set and each of the one or more sets of the conversational data. A feature is generated for the individual based, at least in part, on relationship between the value and the topic similarity, and the computed feature is then sent as a message corresponding to a diagnosis. 1. A computer-implemented method for supporting detection of a sign of cognitive decline , the method comprising:obtaining a reference set of conversational data recorded for an individual and one or more sets of conversational data recorded for the individual on different days from the reference set;evaluating at least a temporal separation between conversations corresponding to the reference set and each of the one or more sets of the conversational data to determine a value of the temporal separation;determining topic similarity between the reference set and each of the one or more sets of the conversational data;generating a feature for the individual based, at least in part, on relationship between the value and the topic similarity; andsending a message corresponding to a diagnosis by the feature computed for the individual.2. The method of claim 1 , wherein the value is calculated by further evaluating an amount of speeches in the conversations corresponding to the reference set and each of the one or more sets of the conversational data.3. The method of claim 2 , wherein the temporal ...

VEHICLE DATA SELECTION SYSTEM FOR MODIFYING AUTOMATED DRIVING FUNCTIONALITIES AND METHOD THEREOF

The systems and methods provided herein are directed to the uploading and transmission of vehicle data to a remote system when a physiological event for a driver has been detected using one or more sensors. Information such as the driver's heart rate, temperature, voice inflection or facial expression may be monitored to detect the physiological event. Vehicle data, such as gathering or control system data, may be sent once the event has been detected. Selected vehicle data associated with the event or all data during the time of the event may be sent. After receiving the vehicle data, the remote system may process or store it where it may be used to modify automated driving functionalities. 1. A vehicle having at least one automated driving functionality comprising:at least one system receiving vehicle data;at least one sensor detecting a physiological event of a driver; andan interface providing the vehicle data to a remote system when the physiological event is detected, the interface receiving modifications based on the vehicle data to the at least one automated driving functionality from the remote system.2. The vehicle of claim 1 , wherein the at least one sensor is in a wearable device.3. The vehicle of claim 1 , wherein the at least one sensor is a seat sensor claim 1 , temperature sensor claim 1 , voice sensor claim 1 , facial sensor claim 1 , skin sensor or heart sensor.4. The vehicle of claim 1 , wherein the physiological event is detected by a driver's heart rate claim 1 , temperature claim 1 , voice inflection or facial expression.5. The vehicle of claim 1 , wherein the vehicle data is received from a camera claim 1 , lidar/radar claim 1 , microphone or global positioning system.6. The vehicle of claim 1 , wherein the vehicle data is received from an audio system claim 1 , climate control system claim 1 , telecommunication system claim 1 , steering system claim 1 , blind spot system claim 1 , collision warning system claim 1 , cruise control system ...

Systems and Methods for Tangential Conversations in a Cognitive Behavioral Therapy Chatbot

The technology disclosed relates to a system and method for detecting when to diverge to a tangential conversation from a linearly structured steps of a cognitive behavioral therapy (CBT) session in a series of sessions for a mental health disorder. The system includes logic to determine when to merge the tangential conversation back to flow of linearly structured steps in the therapy session. The system can bookmark the last completed step in the flow of linearly structured steps of the CBT therapy session before starting the tangential conversation. The system can calculate a return to CBT session score after each succeeding utterance from the patient in the tangential conversation. The system resumes flow of the linearly structured steps of the CBT session upon detecting that the return to CBT session score has exceeded a threshold.

EMOTIONAL ADAPTIVE DRIVING POLICIES FOR AUTOMATED DRIVING VEHICLES

In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described. 1. A system for emotional adaptive driving policies for automated driving vehicles , comprising:a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle; and receive the environmental information from the first plurality of sensors;', 'determine, from the environmental information, an emotional state of the at least one passenger; and', 'implement a driving policy based at least in part on the emotional state of the at least one passenger., 'a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to2. The system of claim 1 , wherein the plurality of sensors comprises at least one of a camera sensor claim 1 , a microphone sensor claim 1 , or a biometric sensor.3. The system of claim 2 , wherein the controller comprises processing circuitry to implement:a heart rate emotion classifier to determine the emotional state of the at least one passenger from an input representative of the heart rate of the at least one passenger;an audio emotion classifier to determine the emotional state of the at least one passenger from an input representative of an audio output of the at least one passenger;a semantics emotion classifier to determine the emotional state of the at least one passenger from an input representative of semantics of an audio ...

APPARATUS AND METHODS FOR BONE CONDUCTION CONTEXT DETECTION

Apparatus and methods for bone conduction detection are disclosed herein. An example apparatus includes a first sensor to output a first vibration signal associated with a first bone structure of a user, a second sensor to output a second vibration signal associated with a second bone structure of the user, memory, and at least one processor to execute instructions to determine a sound associated with at least one of the first vibration signal or the second vibration signal originated external to the user; determine a direction from which the sound originated relative to the user; and generate a signal to cause an output device to present an alert to the user, the alert indicative of the direction of the sound. 1. An apparatus comprising:a first sensor to output a first vibration signal associated with a first bone structure of a user;a second sensor to output a second vibration signal associated with a second bone structure of the user;memory; and determine a sound associated with at least one of the first vibration signal or the second vibration signal originated external to the user;', 'determine a direction from which the sound originated relative to the user; and', 'generate a signal to cause an output device to present an alert to the user, the alert indicative of the direction of the sound., 'at least one processor to execute instructions to2. The apparatus of claim 1 , wherein the at least one processor is to determine the sound as originated external to the user by one or more of (a) comparing a phase of the first vibration signal to a phase of the second vibration signal or (b) comparing a magnitude of the first vibration signal to a magnitude of the second vibration signal.3. The apparatus of claim 2 , wherein the first sensor is associated with a first side of the user including the first bone structure and the second sensor is associated with a second side of the user including the second bone structure claim 2 , the first side opposite the second side ...

Computational Model for Mood

According to some aspects, disclosed methods and systems may include having a user input one or more speech commands into an input device of a user device. The user device may communicate with one or more components or devices at a local office or headend. The local office or the user device may transcribe the speech commands into language transcriptions. The local office or the user device may determine a mood for the user based on whether any of the speech commands may have been repeated. The local office or the user device may determine, based on the mood of the user, which content asset or content service to make available to the user device. 1. A method comprising:receiving, by a first device, a first plurality of natural language inputs comprising one or more terms;assigning a first mood state to a first portion of the first plurality of natural language inputs based on a repetition of one or more of the first plurality of natural language inputs; andtransmitting a content service to the first device based on the first mood state.2. The method of claim 1 , wherein assigning the first mood state comprises:determining, based on a first natural language input of the first plurality of natural language inputs, content candidates to transmit to the first device; andreceiving a second natural language input subsequent to the determining, the second natural language input being a repeated input of the first natural language input.3. The method of claim 2 , wherein the determining further comprises at least one of accessing first content claim 2 , searching information associated with content based on one or more terms comprised in the first natural language input claim 2 , and providing a list of one or more accessible content items.4. The method of claim 1 , wherein the first mood state is associated with a degree of frustration claim 1 , and wherein the transmitting further comprises transmitting the content service based on the degree of frustration.5. The method ...

Cognitive impairment detected through audio recordings

A method for detecting cognitive decline of a user includes receiving speech data corresponding to one or more utterances spoken by the user and processing the received speech data to determine if the speech data is sufficient to perform a cognitive decline analysis of the user. When the speech data is insufficient to perform the cognitive decline analysis, the method also includes initiating a follow-up interaction with the user to collect additional speech data from the user, receiving the additional speech data from the user, and processing the received speech data and the additional speech data to determine a cognitive decline score for the user. The additional speech data corresponds to one or more additional utterances spoken by the user. The method also includes performing an action based on the cognitive decline score of the user.

COLLABORATIVE HUMAN EDGE NODE DEVICES AND RELATED SYSTEMS AND METHODS

Biological human-computer interfaces are used to control devices, such a robotic limbs, using brain signals, nerve signals and muscle signals. These interfaces are sometimes called brain-computing interfaces. The learning process for a user to control devices using these interfaces is cumbersome. A computing platform is provided that includes a library of human model templates that are used to take biological inputs signals to generate outputs that control the device. Different templates are more appropriate for users of different attributes, such as demographic attributes. The computing platform collects data from multiple other users with these interfaces and devices in order to calibrate the human model templates. The calibrated human model templates are then published to the individual users, so that they can more accurately control their devices using their biological input signals. 1. A computing system for provisioning control of a device using biological input data , comprising:a datastore comprising a library of human model templates that process biological input data to control the device;a collector bot to collect data from multiple data sources, the collected data comprising grouped instances of biological input data and output data to control the device;a librarian bot associated with the library to modify one or more of the human model templates based on the collected data; anda publisher bot to transmit the modified one or more human model templates to a given human edge node that uses the device.2. The computing system of wherein the multiple data sources include multiple other human edge nodes each having instances of a human-computing interface that detects biological input data and the device claim 1 , which is controllable by the input data.3. The computing system of wherein the given human edge node comprises hardware and software that is associated with a human-computer interface device that detects the biological input data.4. The computing ...

DEVICE FOR SPEECH ARTICULATION

A device is provided that includes a semi-rigid ring made of one or more non-toxic materials that is suitable for being placed in a speaker's mouth. The ring has an outer diameter in the range of 30-45 mm and an inner diameter in the range of 20-40 mm to allow for placement in a speaker's mouth while speaking. 1. A device comprising:a semi-rigid ring comprising one or more non-toxic materials;wherein the ring has an outer diameter in the range of 30-45 mm and an inner diameter in the range of 20-40 mm.2. The device of claim 1 , wherein the ring has an outer diameter in the range of 30-35 mm and an inner diameter in the range of 22-27 mm.3. The device of claim 1 , wherein the ring has an outer diameter in the range of 40-44 mm and an inner diameter in the range of 30-34 mm.4. The device of claim 1 , wherein the ring comprises a material having a Young's modulus of at least 1 and not more than 5.5. The device of claim 1 , wherein the ring is an ovoid torus.6. The device of claim 5 , wherein the ring has rounded edges.7. The device of claim 1 , wherein the ring is a torus having a non-regular cross section.8. The device of claim 1 , wherein the ring comprises a surface feature on the outer surface of the ring claim 1 , a surface feature on the inner surface of the ring claim 1 , or both.9. The device of claim 1 , wherein the ring comprises a light-reactive material.10. The device of claim 1 , wherein the ring assumes a deformed shape upon being placed within the mouth of a person due to pressure from the mouth of the person on the ring claim 1 , and the ring returns to an original un-deformed shape after being removed from the mouth of the person.11. The device of claim 1 , wherein the ring comprises a plurality of materials.12. The device of claim 1 , wherein a portion of an outer surface of the ring less than the entire outer surface of the ring comprises a physical surface treatment different from a surface of the remainder of the outer surface of the ring.13. The ...

Devices and methods for remote therapy and patient monitoring

Systems and methods for remote therapy and patient monitoring are provided. A method comprises contacting an outer skin surface of a patient with a contact surface of a stimulator and transmitting an electrical impulse from the stimulator transcutaneously through the outer skin surface to a nerve within the patient. Data related to parameters of the electrical impulse applied to the nerve is stored and transmitted to a remote source. The data may include duration of treatment, amplitude of the electrical impulse, compliance with a prescribed therapy regimen or other relevant data related to the therapy. The method may further include collecting patient status data, such as symptoms of a medical condition (e.g., severity of a headache) before, during and/or after stimulation. The patient status data is correlated with the treatment data to monitor compliance and/or the effectiveness of the therapy.

MEASUREMENT OF NEUROMOTOR COORDINATION FROM SPEECH

A system for measuring neuromotor disorders from speech is configured to receive an audio recording that includes spoken speech and compute feature coefficients from at least a portion of the spoken speech in the audio recording. The feature coefficients represent at least one characteristic of the spoken speech in the audio recording. One or more vocal tract variables may be computed from the feature coefficients. The vocal tract variables may represent a physical configuration of a vocal tract associated with at least one of the one or more sounds. The vocal tract variables and/or the feature coefficients are used to determine if a disorder that affects neuromotor speech is present. 1. A method for measuring neuromotor coordination from speech:receiving an audio recording that includes spoken speech;computing time varying feature coefficients from at least a portion of the spoken speech in the audio recording, the feature coefficients representing at least one characteristic of the at least a portion off the spoken speech in the audio recording;computing, from the feature coefficients, one or more time varying vocal tract variables representing time variation of physical configuration of a vocal tract, the time varying vocal tract variables associated with at least one of the one or more sounds; anddetermining a measurement of a disorder based at least in part on a degree of correlation between at least two of the vocal tract variables.2. The method of wherein the feature coefficients represent characteristics of an audio power spectrum of the portion of the speech.3. The method of wherein the feature coefficients comprise cepstral coefficients.4. The method of wherein computing the vocal tract variables comprises providing the feature coefficients as inputs to a neural network claim 1 , and using the neural network to compute the vocal tract variables from the feature coefficients.5. The method of wherein the neural network comprises stored parameters determined ...

MOTION ANALYSIS SYSTEMS AND METHODS OF USE THEREOF

The invention generally relates to motion analysis systems and methods of use thereof. In certain aspects, the system includes an image capture device, at least one accelerometer, and a central processing unit (CPU) with storage coupled thereto for storing instructions that when executed by the CPU cause the CPU to receive a first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task and receive a second set of motion data from the accelerometer related to the at least one joint of the subject while the subject is performing the task. The CPU also calculates kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data, and outputs the kinematic and/or kinetic information for purposes of assessing a movement disorder. 1. A motion analysis system comprising:an image capture device;at least one external body motion sensor; and receive a first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task;', 'receive a second set of motion data from the external body motion sensor related to the at least one joint of the subject while the subject is performing the task;', 'calculate kinematic and/or kinetic information about the at least one joint of a subject from a combination of the first and second sets of motion data; and', 'output the kinematic and/or kinetic information for purposes of assessing a movement disorder, wherein the kinematic and/or kinetic information comprises total duration of the task performance; number of movements performed, movement mean speed, movement peak speed, movement duration, movement smoothness, and path length., 'a central processing unit (CPU) with storage coupled to the CPU for storing instructions that when executed by the CPU cause the CPU to2. The motion analysis system according to claim 1 , further ...

SYSTEMS AND METHODS OF AUTOMATIC COUGH IDENTIFICATION

A method can use dual-axis accelerometry signals obtained during a time period to classify segments of the time period as a cough or as a non-cough artifact (e.g., a rest state, a swallow, a tongue movement, or speech). The method can include representing segments of the dual-axis accelerometry signals as meta-features for each segment of the time period, preferably one or more time features, frequency features, time-frequency features, or information-theoretic features for each segment. The salient meta-features can be used to classify the segments as a cough or a non-cough artifact. Preferably a processing module operatively connected to the sensor performs the processing of the dual-axis accelerometry signals and also automatically classifies the segments. The method and/or the device can be used to diagnose or treat a dysphagia patient, for example by discriminating a cough from a swallow. 1. A method of identifying a cough , the method comprising:receiving, on a processing module, dual-axis accelerometry signals obtained by a sensor positioned externally on an anterior-posterior (A-P) axis and a superior-inferior axis (S-I) of the throat of a subject;representing segments of the dual-axis accelerometry signals as meta-features comprising salient meta-features, the processing module performs the representing of the segments; andclassifying the segments as one of a plurality of classifications comprising at least one classification that is a cough and at least one classification that is a rest state, the processing module performs the classifying based on the salient meta-features.2. The method of wherein claim 1 , for each of the A-P axis and the S-I axis claim 1 , at least one of the salient meta-features is selected from the group consisting of time domain characteristics of the accelerometry signals claim 1 , information theoretic domain characteristics of the accelerometry signals claim 1 , frequency domain characteristics of the accelerometry signals claim ...

AUDIOLOGY TESTING TECHNIQUES

Speech understanding in the presence of background noise can be assessed using novel hearing tests. One such test is a Masking Level Difference with Digits (MLDD) test, which is a clinical tool designed to measure auditory factors that influence the understanding of speech presented within a background of noise. The MLDD test can be used clinically to facilitate a determination of functional hearing. The MLDD test presents background noise using both monotic and diotic conditions. 1. A hearing test system for testing a participant's ability to accurately detect speech in the presence of background noise , the system configured to:audibly present a first series of single-digit numbers to a first ear of the participant while a first background noise at a first signal-to-noise ratio (SNR) is audibly presented to the first ear but not to a second ear of the participant;receive, from the participant, a first group of results that reflect the participant's attempt at accurately reproducing the first series of single-digit numbers;audibly present a second series of single-digit numbers to the first ear while a second background noise at a second SNR is audibly presented to the first ear and to the second ear; andreceive, from the participant, a second group of results that reflect the participant's attempt at accurately reproducing the second series of single-digit numbers.2. The system of claim 1 , wherein the system is further configured to:audibly present a third series of single-digit numbers to the second while a third background noise at a third SNR is audibly presented to the second ear but not to the first ear;receive, from the participant, a third group of results that reflect the participant's attempt at accurately reproducing the third series of single-digit numbers;audibly present a fourth series of single-digit numbers to the second ear while a fourth background noise at a fourth SNR is audibly presented to the second ear and to the first ear; andreceive, from ...

TECHNIQUES FOR AUTOMATICALLY REDUCING ANNOYANCE LEVELS OF DRIVERS WHEN USING DRIVER MONITORING SYSTEMS

In various embodiments, an alert personalization application personalizes in-vehicle alerts. The alert personalization application estimates an increase in a negative emotion associated with an occupant of a vehicle based on at least one characteristic of the occupant. Subsequently, the alert personalization application determines that the increase is associated with a negative reaction to an in-vehicle alert that has a first alert characteristic. In response, the alert personalization application determines that the first alert characteristic should be replaced with a second alert characteristic. The alert personalization causes another in-vehicle alert to be generated that has the second alert characteristic instead of the first alert characteristic. Advantageously, personalizing alert characteristics that influence how and/or when in-vehicle alerts are generated can increase the effectiveness of in-vehicle alerts and can improve driving safety. 1. A computer-implemented method for generating personalized in-vehicle alerts , the method comprising:estimating an increase in a negative emotion associated with an occupant of a vehicle based on at least one characteristic of the occupant;determining that the increase is associated with a negative reaction to a first in-vehicle alert that has a first alert characteristic;in response, determining that the first alert characteristic should be replaced with a second alert characteristic; andcausing at least a second in-vehicle alert to be generated that has the second alert characteristic instead of the first alert characteristic.2. The computer-implemented method of claim 1 , wherein determining that the increase is associated with the negative reaction comprises performing at least one temporal correlation operation based on a first point in time associated with the increase and a second point in time associated with the first in-vehicle alert.3. The computer-implemented method of claim 1 , wherein estimating the ...

REMOTE ASSESSMENT OF NEUROSTIMULATION

The present disclosure relates to a system () for remote assessment of a patient (P), comprising: a first device () associated to a physician (P), a second device () associated to the patient (P), a medical device () associated to the patient (P), wherein the second device () is configured to communicate with the medical device (), and wherein the medical device () is configured to be programmed via the second device (), wherein the first device () is further configured to communicate with the second device (), and wherein the second device () is configured to be controlled via the first device (), and wherein the second device () is configured to acquire data (S, S) indicative of at least one physiological parameter or of several physiological parameters (HR, F, P) of the patient (P). Furthermore, a method for remote assessment is provided. 111. A system () for remote assessment of a patient (P) , comprising:{'b': 2', '2, 'a first device () associated to a physician (P),'}{'b': 3', '1', '3', '30', '1', '1, 'a second device () associated to the patient (P), wherein the second device () comprises or is connected to a camera () that is configured to acquire an optical image or a sequence of optical images (S) of at least a portion of the patient (P),'}{'b': 4', '1', '3', '4', '4', '3, 'a medical device () associated to the patient (P), wherein the second device () is configured to communicate with the medical device (), and wherein the medical device () is configured to be programmed via the second device (),'}{'b': 2', '3', '3', '2, 'wherein the first device () is further configured to communicate with the second device () and/or with a service center, and wherein the second device () is configured to be at least temporarily controlled via the first device (),'}{'b': 3', '1', '2', '1', '1, 'wherein the second device () is configured to acquire data (S, S) indicative of at least one physiological parameter or of several physiological parameters (HR, F, P) of the ...

SYSTEM AND METHOD OF GENERATING RECOMMENDATIONS TO ALLEVIATE LONELINESS

The embodiments disclose a system and method of generating personalized recommendations to alleviate loneliness including detecting, collecting, and organizing user information related to loneliness including sensing user information associated with a users' loneliness in a way that the user may remain anonymous, using user information to compute a user loneliness profile, using the user loneliness profile to compute one or more loneliness alleviation recommendations, presenting the one or more loneliness alleviation recommendations to the user, analyzing effectiveness of the one or more loneliness alleviation recommendations, using effectiveness analysis results and a user's loneliness profile to compute and store updates to databases and algorithms that compute all users' loneliness alleviation recommendations, converting a user's updated loneliness profile from updated user information and one or more loneliness alleviation recommendations effectiveness analysis results and using the updated user information and updated user loneliness profile to compute one or more updated loneliness alleviation recommendations. 1. A system and method of generating recommendations to alleviate loneliness comprising:detecting, sensing, collecting, and organizing user information related to loneliness including computing a user's loneliness profiles associated with a users' loneliness in a way that the user may remain anonymous, and a loneliness alleviation recommendations application for communicating between a loneliness alleviation network and a user using at least one user device with the loneliness alleviation recommendations application installed;converting the user information into a loneliness profile;processing a loneliness profile crisis mode first evaluation for determining if a crisis situation exists and if it exists then for providing quick responses including loneliness alleviation recommendations and actions;creating a modified demographic recommender system data ...

SLEEP ASSESSMENT USING A HOME SLEEP SYSTEM

A sleep assessment device is provided for, including biometric sensors for detecting a heart rate, respiration, or movement of a user. The device detect a user's sleep state by reading signals from the biometric sensor and logs detected information in a sleep record. The device then compares the logged information to a thumbprint of sleep patterns indicative of sleep disorders and outputs an indication of potential sleep disorders based on the comparison. 1. A sleep assessment device comprising:at least one biometric sensor for detecting at least one of a heart rate, respiration, or movement of a user;a processor; andmemory;wherein said processor is configured to detect a user's sleep state by reading signals from said at least one biometric sensor;wherein said processor is further configured to log information in a sleep record, including biometric information detected during the period a user is sleeping; andwherein said processor is configured to compare said logged information in said sleep record to a thumbprint of sleep patterns and output an indication of potential sleep disorders based on said comparison.2. The sleep assessment device of claim 1 , further comprising a microphone.3. The sleep assessment device of claim 1 , wherein the thumbprint is a thumbprint of a normal sleep pattern.4. The sleep assessment device of claim 1 , wherein the thumbprint is a thumbprint of a known sleep disorder.5. The sleep assessment device of claim 4 , wherein the sleep disorder is one of: sleep apnea claim 4 , sleep talking claim 4 , sleep walking claim 4 , and snoring.6. The sleep assessment device of claim 1 , wherein the processor is further configured to output a notification of a potential sleep disorder.7. The sleep assessment device of claim 6 , further comprising a transmitter for transmitting the notification of a potential sleep disorder.8. The sleep assessment device of claim 1 , further comprising at least one direct biometric sensor claim 1 , wherein said ...

STROKE DETECTION AND PREVENTION SYSTEM AND METHOD

A stroke detection and prevention system and method are provided in which there may be one or more phases of detection using devices in which the phases include user-friendly, less accurate tests to less user-friendly, more accurate tests. 1. A stroke detection and prevention system , comprising:a stroke detection and prevention computer system having a processor and a memory;one or more computing devices that provide a first type of stroke detection data, a second type of stroke detection data and a third type of stroke detection data to the stroke detection and prevention computer system; a first phase element that performs a first phase of stroke detection that processes the first type of health data to generate a first set of low accuracy stroke detection data;', 'a second phase element that performs a second phase of stroke detection that processes the second type of health data to generate a second set of higher accuracy stroke detection data; and', 'a third phase element that performs a third phase of stroke detection that processes the third type of health data to generate a third set of highest accuracy stroke detection data., 'the stroke detection and prevention computer system further comprising2. The system of claim 1 , wherein the first phase element further comprises a gait analysis tool with gait data and speech analysis tool with speech data wherein the gait data and the speech data are the first type of health data.3. The system of claim 2 , wherein the gait analysis tool is configured to receive arm movement data about a user and gait data about the user and generate the first set of low accuracy stroke detection data based on the arm movement data and the gait data.4. The system of claim 3 , wherein the computing device that generates the first type of stroke detection data is a wearable health device.5. The system of claim 4 , wherein the gait analysis tool is further configured to calculate an anomaly score to determine a risk of stroke.6. The ...

System and method to measure, analyze, and model pulmonary function and disease utilizing temporal, spatial, and contextual data

An information processing system, computer readable storage medium, and methods for analyzing the airflow related health of a person. A method includes obtaining an audio sample of a person's verbal communication, obtaining geographic information of the person, querying a remote server based on the geographic information, and obtaining additional information from the remote server, the additional information being related to the geographic information, and extracting contours of amplitude change from the at least one audio sample over a period of time, the contours of amplitude change corresponding to changes in an airflow profile of the person. The method further includes correlating the contours of amplitude change with periodic episodes typical of airflow related health problems, and determining, based at least on the additional information, whether the contours of amplitude change result from at least one local environmental factor related to the geographic information.

SYSTEM AND METHOD FOR ACTIVATION AND DEACTIVATION OF CUED HEALTH ASSESSMENT

A system for activating a cued health assessment, which includes an audio receiver for receiving voice samples to measure one of a plurality of voice biomarkers, an audio processing module for extracting one of a plurality of biomarkers from the received voice samples, the audio processing module further classifies the received voice samples to one of plurality of predetermined health states according to the extracted biomarkers, and a voice sample scheduler for activating a cued health assessment module when the classified health state is a clinically actionable health state. 1. A system for activating a cued health assessment , the system comprising:a voice sample collector for receiving voice samples from a user;an audio processing module comprising a voice biomarker extractor, a health state classification unit, and a voice sample scheduler;the voice biomarker extractor for extracting acoustic features from the received voice samples;the health state classification unit for classifying the received voice samples to one of a plurality of predetermined health states based on the acoustic features extracted by the voice biomarker extractor; andthe voice sample scheduler for activating a cued health assessment module when the classified health state is a clinically actionable health state, wherein the cued health assessment module performs the cued health assessment by providing a ranked list of services to the user.2. The system of claim 1 , further comprising a contextual data collector to collect contextual health data using one or more integrated sensors claim 1 , wherein the integrated sensors comprise one or more of an accelerometer and a light sensor claim 1 , and wherein the collected contextual health data improves said classification of the health state of the user.3. The system of claim 1 , wherein the voice sample collector comprises a cued voice sample collector and a passive voice sample collector.4. The system of claim 3 , wherein the voice sample ...

VOICE ANALYSIS FOR DETERMINING THE CARDIAC HEALTH OF A SUBJECT

Embodiments for determining the cardiac health of a subject using voice analysis are disclosed. In an embodiment, a method comprises receiving a voice sample from the subject. The method further comprises determining one or more characteristics of the voice sample. And, the method further comprises determining the subject's cardiac health based on the one or more characteristics. 1. A method for tracking cardiac health of a subject using voice analysis , the method comprising:receiving a voice sample from the subject;determining one or more characteristics of the voice sample; anddetermining the subject's cardiac health based on the one or more characteristics.2. The method of claim 1 , wherein determining the subject's cardiac health comprises determining the subject's cardiac health using machine learning techniques.3. The method of claim 1 , further comprising storing a baseline voice sample and wherein determining the subject's cardiac health comprises comparing the one or more characteristics of the voice sample to one or more characteristics of the baseline voice sample.4. The method of claim 3 , wherein the baseline voice sample is received from the subject.5. The method of claim 3 , wherein the baseline voice sample is received from a group of individuals claim 3 , wherein each individual of the group of individuals has at least one statistical characteristic that is similar to a statistical characteristic of the subject.6. The method of claim 1 , wherein determining one or more characteristics of the voice sample comprises determining a frequency distribution of the voice sample and wherein determining the subject's cardiac health comprises determining the subject's cardiac health based on the frequency distribution of the voice sample.7. The method of claim 1 , further comprising determining a cardiac health trend for the subject based on the subject's cardiac health determined at a first time and a second time claim 1 , the second time occurring after the ...

TREATMENT FOR CEREBRAL PALSY IMPAIRED SPEECH IN CHILDREN

Cerebral palsy impaired speech in children and adolescents are effectively treated by administration of a psychostimulant. Low doses of the psychostimulant significantly (p=0.0025) increases the percentage of correctly pronounced intelligible syllables or words and the ability to more intelligibly communicate (p=0.0309). The improvement in speech persists after cessation of or prior to continued psychostimulant treatment. 1. A method for treating speech impairment secondary to cerebral palsy in a subject in need of such treatment , said method comprises:(a) providing a psychostimulant;(b) administering the psychostimulant in a therapeutically effective dose to the subject;whereby the speech impairment is improved.2. The method of claim 1 , wherein the subject has a chronological age greater than the speech-language age equivalence prior to step (a) and the difference between the chronological age and speech language age equivalence is diminished after step (b).3. The method of claim 1 , wherein there is a diminished difference in chronological age to speech-language age equivalence that persists after the psychostimulant is no longer efficaciously active in the subject.4. The method of claim 1 , wherein the subject is unable to pronounce one or more of the bilabial consonants prior to step (a) and is able to pronounce the one or more bilabial consonants after step (b).5. The method of claim 1 , wherein steps (a) and (b) are repeated periodically over a period of time and wherein the diminishment in the impaired speech continues over the period of time.6. The method of claim 1 , wherein further comprising prior to step (a) determining the cognitive functional age of the subject through non-verbal means claim 1 , and wherein the cognitive functional age is at least about two years.7. The method of claim 1 , wherein the improved speech impairment comprises a percentage increase in correctly pronounced syllables and words of from at least about 1.2 fold to upwards of 5 ...

SELECTING SPEECH FEATURES FOR BUILDING MODELS FOR DETECTING MEDICAL CONDITIONS

A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts. 1. A system for training a mathematical model for detecting a medical condition , the system comprising at least one computer configured to:obtain a training corpus comprising speech data items, wherein each speech data item is labelled with a diagnosis value;compute a plurality of features for each speech data item in the training corpus; the feature selection score for a feature indicates a usefulness of the feature for detecting the medical condition, and', 'the feature selection score is computed using, for each speech data item, a value of the feature and the diagnosis value corresponding to the speech data item;, 'compute a feature selection score for each feature of the plurality of features, whereinselect a subset of the plurality of features using the feature selection scores;train the mathematical model for detecting the medical condition using the subset of the plurality of features for each speech data item of the training corpus;deploy a computer program product or computer service for detecting the medical condition using ...

Wearable Device for Determining and Monitoring Emotional States of a User, and a System Thereof

The present disclosure provides a wearable device, which includes: a frame adapted to be worn on a body part of a user. The frame includes: one or more sensors configured in a housing and operative to sense one or more parameters associated with the body of the user to generate one or more signals indicative of the one or more sensed parameters when the wearable device is worn; a processor configured in the housing and operatively coupled with the one or more sensors, the processor operative to analyze the one or more signals to extract one or more attributes associated with the user from the one or more signals, wherein the one or more attributes being indicative of emotional states of the user; and a display device configured at a portion of the housing and operatively coupled with the processor, wherein the display device is configured to indicate, based on the extracted one or more attributes of the user, the emotional states of the user. 127.-. (canceled)28. A wearable device for determining emotional states of a user , the wearable device comprising: one or more sensors configured in a housing and operative to sense one or more parameters associated with the body of the user to generate one or more signals indicative of the one or more sensed parameters when the wearable device is worn;', analyze the one or more signals to extract one or more attributes associated with the user from the one or more signals, wherein said one or more attributes being indicative of emotional states of the user; and', 'retrieve, from a database operatively coupled to the processor, recommended emotional states based on a deviation of the indicated emotional states of the user and a preferred emotional state of the user, wherein the recommended emotional states, when adopted by the user, facilitates the indicated emotional states of the user to tend towards the preferred emotional state of the user; and, 'a processor configured in the housing and operatively coupled with the one or ...

AUTOMATIC TREATMENT OF PAIN

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen. 1. A medical device system , comprising:at least one sensor configured to sense at least one body signal from a patient; anda medical device configured to:receive at least a first sensed body signal from the at least one sensor;determine a patient pain index, wherein the patient pain index is based at least in part on the first sensed body signal;determine whether the patient pain index is above at least a first pain perception threshold;select a pain treatment regimen based on a determination that the pain index is above the first pain perception threshold; anddeliver the pain treatment regimen.2. The medical device system of claim 1 , wherein the first pain perception threshold is selected such that the pain treatment regimen is delivered before the patient perceives pain.3. The medical device system of claim 1 , wherein the at least one body signal comprises at least one of a: pupillary size; speed of change of pupillary size; frequency of changes in pupillary size per unit time; pupillary shape; or speed claim 1 , magnitude and frequency of pupillary size changes in response to light claim 1 , darkness claim 1 , noxious stimuli claim 1 , emotional ...

DEVICES, SYSTEMS, AND METHODS FOR VOICE THERAPY

A voice therapy mask includes a base that is configured to create a seal against a user's face and a body that forms an air pocket. A positive end-expiratory pressure (PEEP) valve is connected to the body to create a back-pressure in the user's lungs and vocal cords. The mask allows the user to move his or her mouth to perform speech therapy exercises, thereby increasing the range of available vocal cord strengthening exercises.

SYSTEM AND METHOD FOR AUTOMATED DETECTION OF NEUROLOGICAL DEFICITS

The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference. 1. A system for predicting presence of one or more neurological deficits , comprising:a microphone;a camera;one or more memory devices storing instructions; and extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone;', 'determine position and depth information of eye movement from a video feed received from the camera;', 'detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed;', 'extract the features of interest from the video feed;', 'process the extracted features of interest by aligning the extracted features of interest to a common reference;', 'generate a set of coordinates representing the features of interest;', 'generate intensity-based features including a histogram of oriented gradients representing the extracted features of interest;', 'provide the audio information, the position and depth information of eye ...

METHOD AND SYSTEM FOR DETERMINING A PRE-MULTISYSTEM FAILURE CONDITION USING TIME INTEGRATED VOICE ANALYSIS

A method for diagnosing an impending multisystem failure in a patient, comprising steps of obtaining data of recorded speech of the patient, calculating an intensity function of the data across a plurality of frequencies, and determining the number of vibrations in the range of an octave in the recorded speech. A number of vibrations larger than four are indicative of an impending multisystem failure in the patient. 2. The method of claim 1 , wherein said multisystem failure is caused by a stroke.3. The method of claim 1 , additionally comprising a step of defining said vibration as at least 10% difference in the intensity throughout no more 25 Hz.4. The method of claim 1 , additionally comprising a step of determining said octave to be analyzed from a group consisting of: (a) octave between 220-440 Hz; (b) octave between 280-560 Hz; and any combination thereof.5. The method of claim 1 , wherein more than three vibrations per said octave are also indicative of said impending multisystem failure; said vibrations have a steep slope; Said steep slope is about 30%.6. The method of claim 1 , wherein said recorded speech is at least 15 seconds long.7. The method of claim 1 , additionally comprising a step of selecting said intensity function from a group consisting of: (a) average intensity function; (b) maximum intensity function; and any combination thereof.8. The method of claim 1 , wherein determining the number of vibrations in a way selected from a group consisting of: (a) manually; (b) automatically; and any combination thereof.9. The method of claim 1 , additionally comprising a step of graphically plotting said intensity function.10. A method for predicting a long term expected multisystem failure in a patient claim 1 , comprising steps of:a. obtaining data of recorded speech of the patient;b. calculating an intensity function of said data across a plurality of frequencies; andc. searching for at least one crater feature in said intensity function;wherein the ...

DATA PROCESSING DEVICE AND DATA PROCESSING METHOD

There is provided a data processing device and a data processing method capable of customizing a dish made by a cooking robot according to a preference of a person who eats the dish. The data processing device () according to one aspect of the present technology generates recipe data including a data set used when a cooking robot () performs a cooking operation, the data set linking cooking operation data in which information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient are described, and cook biological data indicating a biological reaction of the cook measured in conjunction with progress of the cooking process. The present technology can be applied to a computer that controls cooking in a cooking robot. 1. A data processing device comprisinga generation unit that generates recipe data including a data set used when a cooking robot performs a cooking operation, the data set linking cooking operation data in which information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient are described, and cook biological data indicating a biological reaction of the cook measured in conjunction with progress of the cooking process.2. The data processing device according to claim 1 , whereinthe cook biological data is linked to a tasting process that is a process in which the cook performs tasting.3. The data processing device according to claim 1 , whereinthe cook biological data is linked with sensation data indicating a sensation of the cook measured in conjunction with the progress of the cooking process.4. The data processing device according to claim 2 , whereinthe generation unit is linked to the tasting process in a case where it is determined that content of the cook biological data satisfies a predetermined condition.5. The data processing device according to claim 1 , whereinthe cook biological data includes ...

SYSTEM AND METHOD FOR SCREENING CONDITIONS OF DEVELOPMENTAL IMPAIRMENTS

A system and a method of performing screening tests for diagnosing a developmental condition of a human subject may include: receiving one or more profile data elements pertaining to the human subject; receiving one or more first behavioral data elements that may include information that is indicative of a behavior of a human subject from one or more data sources; analyzing the one or more first behavioral data elements in view of the one or more profile data elements to obtain a suspected impediment of development of the human subject; and presenting to the human subject a personalized test, adapted to diagnose the developmental condition of the human subject in view of the suspected impediment, to perform on a UI of a computing device according to the suspected impediment. 1. A method of performing screening tests for diagnosing a developmental condition of a human subject , by at least one processor , the method comprising:receiving one or more profile data elements pertaining to the human subject;receiving one or more first behavioral data elements comprising information that is indicative of a behavior of a human subject from one or more data sources;analyzing the one or more first behavioral data elements in view of the one or more profile data elements, to obtain a suspected impediment of development of the human subject; andpresenting to the human subject a personalized test, adapted to diagnose the developmental condition of the human subject in view of the suspected impediment, to perform on a user interface (UI) of a computing device, according to the suspected impediment.2. The method of claim 1 , wherein analyzing the one or more first behavioral data elements comprises:providing at least one of the one or more first behavioral data elements and the one or more profile data elements as input to a first classifier;obtaining from the first classifier an indication of the suspected impediment of development of the human subject.3. The method of claim 1 , ...

SYSTEM, METHOD AND RECORDING MEDIUM FOR DETERMINING A REMEDIATION ACTION

A method of determining a remediation action includes detecting an acoustic event in a vehicle, detecting an environmental condition in the vehicle, detecting a respiratory disease symptom of a passenger in the vehicle based on the detected acoustic event, correlating the detected respiratory disease symptom with the environmental condition in the vehicle, and determining a remediation action for the detected respiratory disease symptom. 1. A computer-implemented method of determining a remediation action , the method comprising:detecting an acoustic event in a vehicle;detecting an environmental condition in the vehicle;detecting a respiratory disease symptom of a passenger in the vehicle based on the detected acoustic event;correlating the detected respiratory disease symptom with the environmental condition in the vehicle; anddetermining a remediation action for the detected respiratory disease symptom.2. The method of claim 1 , wherein the detecting of the environmental condition is performed in response to the acoustic event detector detecting the acoustic event.3. The method of claim 1 , wherein the detecting of the acoustic event is performed by an acoustic event detector comprising an audio sensor.4. The method of claim 1 , wherein the detecting of the environmental condition comprises detecting in the vehicle an amount of particulate matter (PM) claim 1 , an amount of volatile organic compounds (VOCs) claim 1 , a humidity and a temperature.5. The method of claim 4 , wherein the detecting of the environmental condition is performed by an environmental condition detector comprising one of a PM sensor claim 4 , a VOC sensor claim 4 , a humidity sensor and a temperature sensor.6. The method of claim 1 , wherein the acoustic event comprises at least one of the passenger coughing claim 1 , the passenger sneezing claim 1 , the passenger wheezing claim 1 , the passenger sniffing and the passenger clearing his throat claim 1 , the passenger using a nasally voice ...

MENTAL HEALTH DIAGNOSTICS USING AUDIO DATA

The present disclosure generally relates to a system and method for obtaining a diagnosis of a mental health condition. An exemplary system can receive an audio input; convert the audio input into a text string; identify a speaker associated with the text string; based on at least a portion of the audio input, determine a predefined audio characteristic of a plurality of predefined audio characteristics; based on the determined audio characteristic, identify an emotion corresponding to the portion of the audio input; generate a set of structured data based on the text string, the speaker, the predefined audio characteristic, and the identified emotion; and provide an output for obtaining the diagnosis of the mental disorder or condition, wherein the output is indicative of at least a portion of the set of structured data. 1. A computer-enabled method for obtaining a diagnosis of a mental disorder or condition , the method comprising:receiving an audio input;converting the audio input into a text string;identifying a speaker associated with the text string;determining, based on at least a portion of the audio input, a predefined audio characteristic of a plurality of predefined audio characteristics;identifying, based on the determined audio characteristic of the plurality of predefined audio characteristics corresponding to the portion of the audio input, an emotion corresponding to the portion of the audio input;generating a set of structured data based on the text string, the speaker, the predefined audio characteristic, and the identified emotion;providing an output for obtaining the diagnosis of the mental disorder or condition, wherein the output is indicative of at least a portion of the set of structured data.2. The method according to claim 1 , wherein the mental condition is PTSD.3. The method according to claim 1 , wherein the audio input includes one or more audio files.4. The method according to claim 1 , wherein the audio input is in a first format ...

Hands-free speech-based natural language processing computerized clinical decision support system designed for veterinary professionals

A hands-free speech-based natural language processing clinical decision support (CDS) system configured to operate in conjunction with a stationary or mobile base device speech system to receive voice commands from a user. A dialog may be conducted with the user in multiple turns, where each turn comprises user speech and a speech response by the speech system. The user speech in any given dialog turn may be provided from the base device. This speech system dialog is directed by a computer program finite state engine. Rule data for the state engine is retrieved from an internet cloud database by a computer program function and is applied to the speech dialog system in order to prompt the user for specific information. This user supplied information is used as inputs to the computer program that in turn refine the speech dialog and requests for additional information. Once all information required to make the CDS recommendation have been received, the computer program applies an algorithm to generate a set of recommendations from which the user can select the best option for their patient.

Monitoring treatment compliance using patient activity patterns

Methods and systems for monitoring compliance of a patient with a prescribed treatment regimen are described. Patient activity is detected unobtrusively with an activity sensor at the patient location, and activity data is transmitted to a monitoring location. Patient speech detected during use of a communication system such as a mobile telephone by the patient may also be used as an activity signal. Patient activity and/or speech is processed at the patient location or monitoring location to identify activity parameters or patterns that indicate whether the patient has complied with the prescribed treatment regimen. The activity sensor and other components at the patient location may be incorporated into, or associated with, a cell phone, computing system, game system, or vehicle system, for example. The system may provide a report to an interested party, for example a medical care provider or insurance company, regarding patient compliance with the prescribed treatment regimen.

System and Method for Sharing User Information with an Insurer Utilizing Wireless Earpieces

A system, method and wireless earpiece for sharing user data with an insurance provider to provide an insurance product of adjust the cost of insurance. The wireless earpiece may establish the identity of a user and track activity data of the user using at least a heart rate sensor and an inertial sensor of the wireless earpiece. The activity data and user identity may be wireless communicated to a server platform of the insurance provider. The server platform may apply the user identity and activity data to an actuarial model used by the insurance provider. The user may be provided a product based on the actuarial model utilizing the activity data and user identity. 1. A method for sharing user information with an insurer , the method comprising:establishing an identity of the user by a wireless earpiece of the user;tracking the activity of the user using at least an inertial sensor of the user and a heart rate sensor of the user:wirelessly communicating the identity of the user and the activity of the user to a server platform;applying the activity of the user to an actuarial model at the server platform;wherein an insurance product is provided to the user based on the actuarial model.2. The method of further comprising:providing feedback to the user through the wireless earpiece indicative of progress towards an activity goal based on the activity of the user wherein the activity goal is associated with an insurance adjustment.3. The method of further comprising:communicating from a transceiver of the wireless earpiece the activity of the user to a mobile application on a computing device of the user.4. The method of further comprising:communicating from the mobile application on the computing device of the user over a wireless communications network to the server platform.5. The method of wherein the activity of the user is tracked while the user is performing exercise.6. The method of wherein the identity of the user is established using biometric data received ...

EMOTION ESTIMATION APPARATUS, EMOTION ESTIMATION METHOD, AND COMPUTER READABLE RECORDING MEDIUM

An emotion estimation apparatus includes: a generation unit configured to generate acoustic characteristic information indicating an acoustic characteristic using a first acoustic signal output to the ear canal and a second acoustic signal produced by the first acoustic signal echoing inside the body; and an estimation unit configured to estimate emotion using the acoustic characteristic information. 1. An emotion estimation apparatus comprising:a generation configured to generate acoustic characteristic information indicating an acoustic characteristic using a first acoustic signal output to the ear canal and a second acoustic signal produced by the first acoustic signal echoing inside the body; andan estimation configured to estimate emotion using the acoustic characteristic information.2. The emotion estimation apparatus according to claim 1 , whereinthe estimation unit estimates the state of the vocal tract and the state of the respiratory tract using the acoustic characteristic information, and estimates emotion using the estimated states of the vocal tract and the respiratory tract.3. The emotion estimation apparatus according to claim 2 , whereinthe estimation unit estimates the state of the vocal tract and the state of the respiratory tract, and estimates expression using the estimated states of the vocal tract and the respiratory tract.4. The emotion estimation apparatus according to claim 2 , whereinthe estimation unit estimates at least one or more states among whether the mouth is open or closed, whether the vocal cords are open or closed, the place of articulation, and breathing type, and sets the states as the state of the vocal tract and the state of the respiratory tract.5. The emotion estimation apparatus according to claim 4 , whereinthe estimation unit generates resonant frequency information indicating resonant frequencies or spectral shape information indicating a spectral shape using the acoustic characteristic information, and estimates the ...

TECHNOLOGY-FACILITATED SUPPORT SYSTEM FOR MONITORING AND UNDERSTANDING INTERPERSONAL RELATIONSHIPS

A method for monitoring and understanding interpersonal relationships includes a step of monitoring interpersonal relations of a couple or group of interpersonally connected users with a plurality of smart devices by collecting data streams from the smart devices. Representations of interpersonal relationships are formed for increasing knowledge about relationship functioning and detecting interpersonally-relevant mood states and events. Feedback and/or goals are provided to one or more users to increase awareness about relationship functioning. 1. A method for monitoring and understanding interpersonal relationships comprising:monitoring interpersonal relations of a couple or group of interpersonally connected users with a plurality of smart devices by collecting data streams from the smart devices or from wearable sensor in communication with the smart devices;classifying and/or quantifying the interpersonal relations into classification or quantifications; andproviding feedback and/or goals to one or more users to increase awareness about relationship functioning.2. The method of wherein representations of interpersonal relationships are formed for increasing knowledge about relationship functioning and detecting interpersonally-relevant mood states and events.3. The method of wherein the representations of interpersonal relationships are signal-derived and machine-learned representations.4. The method of wherein signal-derived features are extracted from the data streams claim 1 , and the signal derived features providing inputs to a trained neural network are interpersonal classifications that allow selection of a predetermined feedback to be sent.5. The method of wherein the data streams include one or more components selected from the group consisting of physiological signals claim 1 , audio measures claim 1 , speech content claim 1 , video claim 1 , GPS claim 1 , light exposure claim 1 , content consumed and exchanged through mobile claim 1 , internet claim ...

SYSTEMS AND METHODS FOR DIAGNOSING AND ANALYZING CONCUSSIONS

A system for determining whether a user has a concussion includes: a mobile device including a camera, microphone, display, an application program running on the mobile device, and a network connection, and a back end processing server, the mobile device further including a processor that is configured to execute program instructions associated with the application that cause the mobile device to: collect audio in response to specific questions from the user using the microphone, and transmit the audio to the back end processing server, and wherein the back end processing server configured to execute program instructions to: receive the audio stream from the user, store the audio stream, process the audio stream to recognize speech within the audio stream, and compare parameters associated with the speech recognition with prior speech for the user collected on a prior occasion in response to the same questions. 1. A system for determining whether a user has a concussion , comprising:a mobile device including a camera, microphone, display, an application program running on the mobile device, and a network connection; anda back end processing server; collect audio in response to specific questions from the user using the microphone; and', 'transmit the audio to the back end processing server; and, 'the mobile device further including a processor that is configured to execute program instructions associated with the application that cause the mobile device to receive the audio stream from the user;', 'store the audio stream;', 'process the audio stream to recognize speech within the audio stream; and', 'compare parameters associated with the speech recognition with prior speech for the user collected on a prior occasion in response to the same questions., 'wherein the back end processing server configured to execute program instructions to2. The system according to claim 1 , further comprising: determine at least one of the following:', 'delay in speech, slurring in ...

MOBILE SENSOR PLATFORM

Provided is a disclosure for a mobile sensor platform including various hardware and software to perform sensing operations of various occupants in the mobile sensor platform. 1. A method comprising:continuously monitoring biometric signals of an occupant in a vehicle using one or more sensors in the vehicle;generating data results from data fusion of the biometric signals with other sensor signals received from one or more of: one or more first electronic devices in the vehicle, and one or more second electronic devices external to the vehicle;using the data results to determine, independently of the occupant, one or more actions to take on behalf of the occupant; andthe vehicle performing the one or more actions independently of the occupant.2. The method of claim 1 , comprising receiving the biometric signals from one or more of ECG sensor claim 1 , bio-impedance sensor claim 1 , breath spectrometer claim 1 , respiration detector claim 1 , temperature sensor claim 1 , blood oxygen monitor claim 1 , blood pressure monitor claim 1 , and EEG sensor.3. The method of claim 1 , wherein the first electronic devices comprise a microphone claim 1 , and signals from the microphone are processed for voice stress analysis of the occupant.4. The method of claim 1 , wherein the first electronic devices comprise a camera claim 1 , and signals from the camera are processed to determine a stress level of the occupant.5. The method of claim 1 , wherein the one or more second electronic devices comprise home based equipment and medical facility based equipment.6. The method of claim 5 , wherein the home based equipment comprise a weight scale claim 5 , a blood pressure monitor claim 5 , a cardiac monitor claim 5 , and smart appliances.7. The method of claim 5 , wherein the medical facility based equipment comprise an ECG monitor and an imaging equipment.8. The method of claim 1 , wherein claim 1 , when the data results indicate an acute physical condition claim 1 , the one or more ...

OCCUPANT ASSIST APPARATUS

An occupant assist apparatus () has: a receiving device () for receiving an occupant information relating to an occupant of a vehicle; an estimating device () for estimating, on the basis of the occupant information, at least one of a desire of the occupant to urinate and a desire of the occupant to defecate in a future than a timing when the occupant information is received; and an executing device () for executing an occupant assist on the basis of a result of an estimation by the estimating device. 1. An occupant assist apparatus comprising a controller ,the controller being programmed to:receive an occupant information relating to an occupant of a vehicle;estimate, on the basis of the occupant information, at least one of a desire of the occupant to urinate and a desire of the occupant to defecate in a future than a timing when the occupant information is received; andexecute an occupant assist on the basis of an estimated result.2. The occupant assist apparatus according to claim 1 , whereinthe controller is programmed to estimate, on the basis of the occupant information, at least one of the desire of the occupant to urinate and the desire of the occupant to defecate in the future than the timing when the occupant information is received before the occupant is conscious of at least one of the desire to urinate and the desire to defecate.3. The occupant assist apparatus according to claim 1 , whereinthe occupant information includes at least one of a biological information of the occupant and an action information relating to an action of the occupant.4. The occupant assist apparatus according to claim 3 , whereinthe action information includes at least one of a diet history information relating to a history of a diet eaten by the occupant and an excretion history information relating to a history of an excretion of the occupant.5. The occupant assist apparatus according to claim 1 , whereinthe occupant assist includes at least one of (i) a break assist for ...

VOICE ASSISTANT SPEECH LANGUAGE PATHOLOGIST (VA SLP), SYSTEMS AND METHODS

There is provided herein a method and system for assisting speech/language therapy practice utilizing a voice interactive artificial intelligence-powered virtual assistant system. 1. A voice assistant speech language pathologist (VA SLP) based method for assisting speech language therapy practice , the method comprising:utilizing a voice interactive artificial intelligence-powered virtual assistant system,initiating conversation with a user, wherein initiating conversation with the user is triggered in response to the user's command or triggered by the virtual assistant system, wherein initiating conversation with a user comprises: identifying the user and/or uploading a personal speech therapy practice protocol personalized to the user's speech/lingual pathology;based on the personalized practice protocol, requesting the user to perform a task which comprises saying one or more words associated with the user's speech/lingual pathology;if the user's speech is determined to be at or above a threshold, rewarding the user with a positive game feature.2. The method of claim 1 , wherein if the user's speech is determined to be below the threshold claim 1 , the virtual assistant system penalizes the user with a negative game feature or a lack of a positive game feature.3. The method of claim 1 , wherein the step of requesting the user to say one or more words associated with the user's speech/lingual pathology comprises: providing to the user a set of words and requesting the user to repeat them one or more times claim 1 , providing a user a set of words and requesting the user to re-order them to form a meaningful sentence claim 1 , providing to the user a set of words and requesting the user to repeat them claim 1 , playing a sound and asking the user what object/subject produces such sound claim 1 , describing an object and asking the user to name it claim 1 , naming and object and asking the user to describe it claim 1 , projecting a visual image and/or video clips ...

SYSTEM AND METHOD FOR PULMONARY CONDITION MONITORING AND ANALYSIS

A method for pulmonary condition monitoring includes selecting a phrase from an utterance of a user of an electronic device, wherein the phrase matches an entry of multiple phrases. At least one speech feature that is associated with one or more pulmonary conditions within the phrase is identified. A pulmonary condition is determined based on analysis of the at least one speech feature. 1. A method for pulmonary condition monitoring , comprising:selecting a phrase from an utterance of a user of an electronic device, wherein the phrase matches an entry of a plurality of phrases;identifying at least one speech feature that is associated with one or more pulmonary conditions within the phrase; anddetermining a pulmonary condition based on analysis of the at least one speech feature.2. The method of claim 1 , wherein: 'pause within the phrase, vowel within the phrase, or a combination thereof; and', 'the at least one speech feature includes one ofthe analysis of the at least one speech feature includes comparing the speech feature with a knowledge base.3. The method of claim 2 , further comprising:updating the knowledge base as a result of the analysis of the at least one speech feature.4. The method of claim 1 , further comprising:retrieving an expected position of at least one speech segment based on a knowledge base; anddetermining position of the at least one speech segment based on the expected position and generate the at least one speech feature for the at least one speech segment.5. The method of claim 2 , further comprising:identifying at least one pause within the phrase; anddetermining the pulmonary condition based on analysis of pause duration and pause pattern of the at least one pause.6. The method of claim 1 , further comprising:receiving a context accompanying the utterance; anddetermining the pulmonary condition based on analysis of the at least one speech feature in view of the context.7. The method of claim 1 , wherein:the utterance is obtained ...

Systems and methods for securing an object in a vehicle

Systems and methods for securing an object in a vehicle are provided. One embodiment of a method includes receiving data related to a biometric identifier of a user, receiving data related to a physiological state of the user, and determining whether the data associated with the physiological state of the user corresponds to an undesired physiological state. In response to receiving a correct biometric identifier and determining that the physiological state of the user does not correspond to the undesired physiological state, some embodiments may be configured to grant access to a storage area of a biometric lockbox. Similarly, in response to at least one of the following: not receiving the correct biometric identifier or determining that the physiological state of the user corresponds to the undesired physiological state of the user, some embodiments may be configured to deny access to the storage area of the biometric lockbox.

USING CORRELATION STRUCTURE OF SPEECH DYNAMICS TO DETECT NEUROLOGICAL CHANGES

A method and a system for assessing a condition in a subject. An example of a condition is a Major Depressive Disorder (MDD). The method comprises measuring at least one speech-related variable in a subject; extracting a channel-delay correlation structure of the at least one speech-related variable; and generating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable. 1. A method of assessing a condition in a subject , the method comprising:measuring at least one speech-related variable in a subject;extracting a channel-delay correlation structure of the at least one speech-related variable; andgenerating an assessment of a condition of the subject, based on the correlation structure of the at least one speech-related variable.2. The method of claim 1 , wherein the at least one speech-related variable includes a formant frequency.3. The method of claim 1 , wherein the speech-related variables are two or more formant frequencies.4. The method of claim 1 , wherein the at least one speech-related variable includes a facial action unit.5. The method of claim 1 , wherein the at least one speech-related variable includes a Mel Frequency Cepstral Coefficient (MFCC).6. The method of claim 1 , wherein the at least one speech-related variable includes a Delta Mel Frequency Cepstral Coefficient (Delta MFCC).7. The method of claim 6 , wherein the speech-related variables are two or more Delta MFCC.8. The method of claim 1 , wherein the channel-delay correlation structure includes channel-delay correlation values.9. The method of claim 1 , wherein the channel-delay correlation structure includes channel-delay covariance values.10. The method of claim 1 , wherein the channel-delay correlation structure includes a channel-delay correlation matrix.11. The method of claim 1 , wherein the channel-delay correlation structure includes a channel-delay covariance matrix.12. The method of claim 1 , wherein the ...

SYSTEMS AND METHODS FOR IDENTIFYING NEUROBIOLOGICAL BIOMARKERS USING EEG

A computer implemented method, system and software for detection of a biological condition including instructions for measuring a frequency modulated auditory evoked response of a subject and analyzing the frequency modulated auditory evoked response to detect the presence or absence of the biological condition in the subject. The biological condition can be an autism spectram disorder. 1. A computer implemented method for detection of a biological condition , comprising:on a device having one or more processors and a memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for:measuring a first frequency modulated auditory evoked response of a subject with regressive autism spectrum disorder prior to administration of a therapeutic molecule to the subject;measuring a second frequency modulated auditory evoked response of the subject after administration of the therapeutic molecule to the subject; andanalyzing a difference between the first and second frequency modulated auditory evoked response to detect the presence or absence of an improvement in at least one of language and behavior of the subject.2. The method of claim 1 , wherein the first and second frequency modulated auditory evoked responses are 4 Hz frequency modulated auditory evoked response steady state responses.3. The method of claim 1 , wherein the analyzing the difference step comprises spectral noise analysis.4. The method of claim 1 , wherein the analyzing the difference step comprises analyzing a difference between the average spectral power.5. The method of claim 1 , wherein the analyzing the difference step comprises determining a plus-minus average of the first and second frequency modulated auditory evoked response and a root-mean-square voltage of the plus-minus averages.6. The method of claim 4 , wherein the analyzing the difference step comprises analyzing a difference between the average spectral power of the 4 Hz ...

EMOTION ESTIMATING METHOD, EMOTION ESTIMATING APPARATUS, AND RECORDING MEDIUM STORING PROGRAM

An emotion estimating method includes: acquiring first data and second data from the subject, the first data corresponding to physiology data, and the second data corresponding to one of physiology data different from the first data and non-physiology data; calculating a first value and a second value based on the acquired first data and second data, the first value indicating a degree of arousal of the subject and the second value indicating a degree of valence of the subject; estimating the emotion of the subject, by using the calculated first value and second value and based on a predetermined association of people's emotions with a degree of arousal and a degree of valence of the people, the predetermined association being pre-stored in a memory; and outputting information indicating the estimated emotion. 1. An emotion estimating method for an emotion estimating apparatus for estimating an emotion of a subject , the emotion estimating method comprising:acquiring first data and second data from the subject, the first data corresponding to physiology data, and the second data corresponding to one of physiology data different from the first data and non-physiology data;calculating a first value and a second value based on the acquired first data and second data, the first value indicating a degree of arousal of the subject and the second value indicating a degree of valence of the subject;estimating the emotion of the subject, by using the calculated first value and second value and based on a predetermined association of people's emotions with a degree of arousal and a degree of valence of the people, the predetermined association being pre-stored in a memory; andoutputting information indicating the estimated emotion.2. The emotion estimating method according to claim 1 ,wherein the second data is non-physiology data.3. The emotion estimating method according to claim 1 ,wherein in the calculating, the first value is calculated based on the first data, and the ...

CLASSIFICATION MACHINE OF SPEECH/LINGUAL PATHOLOGIES

There is provided herein a method for treating/diagnosing a speech/language related pathology, the method comprising: introducing a speech sample provided by a user to a speech/language machine learning (ML) classifier, wherein the ML classifier is trained with non-pathological/normal speech, applying novelty detection algorithms to compute a similarity measure, and based at least on the similarity measure, computing an output signal indicative of a speech/lingual quality of the user. 1. A method for treating/diagnosing a speech/language related pathology , the method comprising:introducing a speech sample provided by a user to a speech/language machine learning (ML) classifier, wherein the ML classifier is trained with non-pathological/normal speech;applying novelty detection algorithms to compute a similarity measure; andbased at least on the similarity measure, computing an output signal indicative of a speech/lingual quality of the user.2. The method of claim 1 , wherein the ML classifier applies deep neural network (DNN) support vector machine (SVM) claim 1 , (k-nearest neighbors) KNN algorithms or any combination thereof.3. The method of claim 2 , wherein the DNN algorithms comprise recurrent neural networks (RNNs) claim 2 , convolutional deep neural networks (CNNs) or a combination thereof.4. The method of claim 1 , further comprising tagging the speech sample as normal if the similarity measure is at or above a predetermined threshold and tagging the speech sample as abnormal if the similarity measure is below the predetermined threshold.5. The method of claim 1 , wherein the step of computing a speech/lingual quality of the user further comprising collecting a duration of abnormal speech intervals and/or a duration of normal speech intervals.6. The method of claim 4 , further comprising applying ML algorithms for sub-classifying speech tagged as abnormal.7. The method of claim 6 , wherein the ML sub-classifying applies deep neural network (DNN) support ...

APPARATUS FOR ESTIMATING MENTAL/NEUROLOGICAL DISEASE

A medical apparatus for estimating a mental/neurological disease with high precision is provided. This medical apparatus includes a computational processing device, a recording device having an estimation program which causes the computational processing device to execute processing recorded therein, a calculation unit configured to calculate a score of a subject, a detection unit configured to detect a disease whose score exceeds a reference range, and an estimation unit configured to estimate a mental/neurological disease. 1. An apparatus which estimates a mental/neurological disease from voice data of speech of a subject , comprising:a computational processing device;a recording device having an estimation program which causes the computational processing device to execute processing recorded therein;a calculation unit which creates a feature quantity from a second acoustic parameter associated with a disease in advance and calculates a score of the subject using the feature quantity and a first acoustic parameter and in which the first acoustic parameter is calculated from the voice data acquired from the subject;a detection unit which sets a reference range on the basis of the feature quantity and detects a disease whose score exceeds the reference range; andan estimation unit which estimates the mental/neurological disease when the detection unit detects one or more diseases.2. The apparatus according to claim 1 , wherein candidates for the mental/neurological disease include an Alzheimer's disease claim 1 , Lewy body dementia claim 1 , a Parkinson's disease claim 1 , major depression claim 1 , atypical depression claim 1 , and a bipolar disorder and the second acoustic parameter correlates with the selected disease candidate.3. The apparatus according to claim 1 , wherein the detection work is terminated when the number of diseases detected as exceeding the reference range is one or less claim 1 , and the feature quantity is improved by comparing amounts of ...