СПОСОБ И СИСТЕМА ОБЕСПЕЧЕНИЯ ПОВЕДЕНЧЕСКОЙ ТЕРАПИИ ДЛЯ ЛЕЧЕНИЯ БЕССОННИЦЫ

Изобретения относятся к медицине. Способ когнитивной поведенческой терапии бессонницы осуществляют посредством системы для когнитивной поведенческой терапии. Система для когнитивной поведенческой терапии содержит устройство электронной связи, систему датчиков для обнаружения данных активности во время сна, первый блок обработки для преобразования данных активности во время сна в данные структуры сна, второй блок обработки с устройством ввода для сбора входных данных пациента, которые содержат информацию, указывающую оценку влияния бессонницы пациента на дневную деятельность пациента, третий блок обработки для приема данных структуры сна и входных данных пациента, их анализа и создания профиля сна пациента, четвертый блок обработки для анализа профиля сна пациента и обеспечения курса терапии и дисплей. Запоминающее устройство четвертого блока обработки содержит множество модулей терапевтических инструкций для представления на дисплее. Четвертый блок обработки выполнен с возможностью организации ...

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 ...

СПОСОБЫ И УСТРОЙСТВО ДЛЯ МОНИТОРИНГА СОЗНАНИЯ

... 1. Способ мониторинга сознания субъекта, обладающего ощущениями, и автоматическое обнаружение, находится ли субъект в переходе из состояния сознания в состояние меньшей степени сознания или наоборот посредством уменьшения эффектов изменений, основанных на частоте, в неврологических данных, полученных от субъекта, упомянутый способ включает в себя (i) получение сигнала EEG от субъекта, (ii) выполнение частотного анализа сигнала EEG для получения сигнала, основанного на частоте, (iii) выполнение фазового анализа сигнала EEG для получения сигнала, основанного на фазе, (iv) определение посредством сравнения сигнала, основанного на частоте, и сигнала, основанного на фазе, находится ли субъект в переходе из упомянутого состояния сознания в упомянутое состояние меньшей степени сознания или наоборот, и (v) обеспечение предупредительного сигнала, когда упомянутый субъект находится в упомянутом переходе к упомянутому состоянию сознания. 2. Способ по п.1, отличающийся тем, что упомянутый частичный ...

СИСТЕМА НАДУВНОГО МАТРАСА И СПОСОБ УПРАВЛЕНИЯ СИСТЕМОЙ НАДУВНОГО МАТРАСА

Настоящее изобретение относится к системе надувного матраса. Система надувного матраса включает в себя: надувной матрас (10), сконфигурированный, чтобы саморегулировать свое собственное давление; пользовательский терминал (30), принимающий установленное значение или пользовательскую информацию от пользователя и передающий установленное значение или пользовательскую информацию на надувной матрас (10), и сервер (50), принимающий данные измерения от надувного матраса (10), чтобы анализировать режим сна и качество сна пользователя, и передающий проанализированный режим сна и качество сна на пользовательский терминал (30). При этом надувной матрас (10) разделен на множество секций и давление регулируется для каждой секции на основе установленного значения или пользовательской информации. Обеспечивается регулировка давления матраса для каждой части тела и управление надувным матрасом пользователем, а также анализ режима сна и качества сна. 2 н. и 18 з.п. ф-лы, 18 ил.

СПОСОБ ПЕРЕДАЧИ ПОСРЕДСТВОМ НАРУЧНЫХ ЧАСОВ ИНФОРМАЦИОННОГО СООБЩЕНИЯ, СВЯЗАННОГО С ОЦЕНКОЙ КАЧЕСТВА СНА ПОЛЬЗОВАТЕЛЯ УПОМЯНУТЫХ НАРУЧНЫХ ЧАСОВ

Изобретение относится к способу передачи посредством наручных часов (100) информационного сообщения, связанного с оценкой качества сна пользователя упомянутых наручных часов (100), причем способ содержит следующие этапы, на которых: регистрируют (10) посредством процессорного блока (2) данные, описывающие по меньшей мере один определяемый событием эпизод по меньшей мере одного типа события внешнего воздействия в течение периода сна пользователя; идентифицируют (11) по меньшей мере один тип события внешнего воздействия, нарушающего сон пользователя, исходя из результатов обработки упомянутых описательных данных; оценивают (16) индекс оценки качества сна пользователя как функцию индикатора нарушения сна для каждого идентифицированного типа события внешнего воздействия, нарушающего сон, и создают (17) информационное сообщение, содержащее оценочный индекс оценки, для его передачи пользователю. 3 н. и 3 з.п. ф-лы, 2 ил.

Электронная офтальмологическая линза с отслеживанием сна

НАУШНИКИ С ДОПОЛНИТЕЛЬНОЙ ФУНКЦИЕЙ ДАТЧИКА ФУНКЦИОНАЛЬНОГО СОСТОЯНИЯ СЛУШАЮЩЕГО

Способ снятия аналоговых сигналов для анализа сна и бодрствования, характеризующийся использованием контактных электродов, которые размещают в контакте с ухом человека, отличающийся тем, что в качестве контактных электродов, используют наушники, которые выполняют в виде токопроводящего материала, который размещают на внешней поверхности корпуса динамиков наушников в той ее части, которая контактирует с ухом или виском человека.

"Интеллектуальный" электродный узел для транскутанной электрической стимуляции нервов (ТЭСН)

СИСТЕМА И СПОСОБ УЛУЧШЕННОГО УСВОЕНИЯ ЗНАНИЙ ПОСРЕДСТВОМ ИНДУКЦИИ МЕДЛЕННОГО СНА И СЕНСОРНОГО ВОССТАНОВЛЕНИЯ КОНТЕКСТА

Schlafphasenwecker

Die Erfindung betrifft einen Schlafphasenwecker mit einer Sensorik zur Ermittlung der aktuellen Schlafphase einer schlafenden Person (3) und einer Weckvorrichtung zur Abgabe von Weckreizen während oder zu Beginn einer gewünschten Schlafphase. Die bekannten Schlafphasenwecker haben den Nachteil, dass eine externe Sensorik im Raum installiert oder am Körper getragen werden muss. Dies verbessert die Erfindung dadurch, dass als Sensorik ein in unmittelbarer Nähe zur schlafenden Person (3) befindliches schmiegsames Wärmeprodukt (1) mit wenigstens einem stromdurchflossenen Heizleiter genutzt wird, wobei das schmiegsame Wärmeprodukt (1) eine Steuerung aufweist, die die durch Bewegungen der schlafenden Person (3) auftretende Änderung des Dielektrikums in Nahbereich des Heizleiters und die damit einhergehende Änderung der elektrischen Eigenschaften des Heizleiters zu detektieren vermag, und hieraus die Schlafphase, in der sich die schlafende Person (3) befindet, zu bestimmen vermag, wobei konstante ...

SYSTEM FÜR DIE UEBERWACHUNG DER GESUNDHEIT, DES WOHLBEFINDENS UND DER KONDITION

System and method for remote monitoring in home activity of persons living independently

A system and method for monitoring the activities of a resident living independently. Activity sensors distributed around the home collect data on activity in the home. The data is communicated to a remote monitoring center and analyzed. The data is buffered to ascertain whether an event or important transition has occurred in the home. The system also may be utilized to ascertain long-term mobility changes in the resident, deviations from normal sleep patterns, and deviations from a normal wake up time.

Sleep enhancement system and wearable device for use therewith

Circadian rhythm detection

A method for detecting a circadian rhythm of a user, the method comprising acquiring 201 measurement data indicating the user’s sleep time and determining a user’s sleep-wake rhythm of the user on the basis of the measurement data; determining 202 a first phase value based on the sleep-wake rhythm, acquiring 203 skin temperature measurement data for at least one 24-hour measurement period, fitting 204 the skin temperature measurement data to a cosine waveform, and evaluating 205 a quality of the fitting. If the quality is above a threshold, a circadian phase of the user is determined 208 on the basis of a combination of the first phase value and the second phase value. If the quality of the fitting is below the threshold, the circadian phase of the user is determined 206 on the basis of the first phase value without the second phase value. The computed circadian phase or a parameter derivative of the computed circadian phase is output via an interface to be presented to the user.

SYSTEM FOR THE MONITORING OF THE HEALTH, THE WELL-BEING AND THE CONDITION

Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen mit vegetativen Regulationsmechanismen eines Testsubjekts

Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen (HFI) mit vegetativen Regulationsmechanismen eines Testsubjekts, umfassend folgende Verfahrensschritte: Ermitteln des Verlaufs der Leistungsflussdichte von HFI über einen definierten Zeitraum, Ermitteln der Varianz des zeitlichen Abstands von mittels Elektrokardiogramm-Messverfahren (EKG) erfassten, aufeinanderfolgenden Herzschlägen sowie des Verlaufs daraus ermittelter vegetativer Funktionsparameter (HRV-FP), Synchronisation und Kalibrierung der HFI- und HRV-FP-Verläufe auf ein Referenz-Zeitintervall (T1-n), Vergleich mit charakteristischen, HFI-induzierten sekundären Signifikanzen, welche aus aktueller Versuchsanordnung oder aus mindestens einer dieser vorausgehenden Versuchsanordnung mit dem aktuellen Testsubjekt oder dritten Testsubjekten ermittelt wurden und in Form von digitalen oder analogen Daten, vorzugsweise in Form von grafischen Verläufen, alphanumerischen oder algorithmischen ...

Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen mit vegetativen Regulationsmechanismen eines Testsubjekts

Verfahren und Anordnung zur Analyse der Interaktion von elektromagnetischen Hochfrequenz-Immissionen (HFI) mit vegetativen Regulationsmechanismen eines Testsubjekts, umfassend folgende Verfahrensschritte: Ermitteln des Verlaufs der Leistungsflussdichte von HFI über einen definierten Zeitraum, Ermitteln der Varianz des zeitlichen Abstands von mittels Elektrokardiogramm-Messverfahren (EKG) erfassten, aufeinanderfolgenden Herzschlägen sowie des Verlaufs daraus ermittelter vegetativer Funktionsparameter (HRV-FP), Synchronisation und Kalibrierung der HFI- und HRV-FP-Verläufe auf ein Referenz-Zeitintervall (T1_n), Vergleich mit charakteristischen, HFI-induzierten sekundären Signifikanzen, welche aus aktueller Versuchsanordnung oder aus mindestens einer dieser vorausgehenden Versuchsanordnung mit dem aktuellen Testsubjekt oder dritten Testsubjekten ermittelt wurden und in Form von digitalen oder analogen Daten, vorzugsweise in Form von grafischen Verläufen, alphanumerischen oder algorithmischen ...

Illumination system for at least one luminous means

Es wird ein Beleuchtungssystem (1) für mindestens ein Leuchtmittel, insbesondere für Leuchtdioden, aufweisend - eine Leuchte (3) - einen Konverter (2) zum Betreiben des Leuchtmittels, - ein Erfassungsgerät (7), wobei das Erfassungsgerät (7) dazu ausgelegt ist die Schlafphase einer Person (4) festzustellen, wobei, dass das Beleuchtungssystem (1) das Leuchtmittel in unterschiedlichen Betriebsmodi betreiben kann, wobei die Betriebsmodi in Abhängigkeit von der durch das Erfassungsgerät (7) festgestellten Schlafphase der Person (4) aktiviert werden, gezeigt.

Method for predicting human cognitive performance

Method, computing device and wearable device for sleep stage detection

In a described embodiment, a method of sleep stage detection is disclosed. The method comprises receiving a first vital sign feature 701a including a plurality of first feature values v ...

Systems and methods for monitoring cough

Modular physiologic monitoring systems, kits, and methods

Systems, devices, methods, and kits for monitoring one or more physiologic and/or physical signals from a subject are disclosed. A system including patches and corresponding modules for wirelessly monitoring physiologic and/or physical signals is disclosed. A service system for managing the collection of physiologic data from a customer is disclosed. An isolating patch for providing a barrier between a handheld monitoring device with a plurality of contact pads and a subject is disclosed.

Localized collection of biological signals, cursor control in speech-assistance interface based on biological electrical signals and arousal detection based on biological electrical signals

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

Systems And Methods For Detecting And Managing Physiological Patterns

Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Localized collection of biological signals, cursor control in speech-assistance interface based on biological electrical signals and arousal detection based on biological electrical signals

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

METHOD, APPARATUS AND SYSTEM FOR CHARACTERIZING SLEEP

... ²² A method of determining sleep stages from signals of electrical activity ²recorded of a chest of a sleeping subject, the signals being measured over a ²plurality ²of epochs. The method comprising: (a) extracting a series of cardiac R-R ²intervals ²from the signals and obtaining a time-frequency decomposition from the series ²of ²cardiac R-R intervals; (b) using the time-frequency decomposition to determine ²at ²least one Slow-Wave-Sleep (SWS) period and at least one Non-SWS (NSWS) period; ²²(c) from the at least one NSWS period, determining at least one sleep-onset ²(SO) ²period and a plurality of non-sleep periods; (d) extracting a plurality of ²electromyogram (EMG) parameters from a portion of the signals, the portion ²corresponds to a NSWS period other than the at least one SO period and other ²than ²the plurality of non-sleep period; (e) using the plurality of EMG parameters ²to ²determine at least one REM period thereby also to obtain also at least one ²light-sleep ²(LS) period ...

SYSTEM FOR MONITORING HEALTH, WELLNESS AND FITNESS

A detecting, monitoring and reporting system includes a sensor device which generates data indicative of at least one activity, GSR and heat flow of an individual and data derived therefrom when placed in proximity with the body. A remote central monitoring unit generates analytical status data from this data and analytical status data that has previously been generated. A data storage device stores the data received and generated by the central monitoring unit. The system includes means for establishing electronic communication between the sensor device and the central monitoring unit, and means for transmitting the data to a recipient. The sensor device may also generate data indicative of contextual parameters of the individual, which may then be used when generating the analytical status data. The system may be used for monitoring and providing feedback relating to the degree to which an individual has followed a suggested routine.

BODY MOTION MONITOR

A system for monitoring the respiratory activity of a subject, which comprises one or more movement sensors, applied to the thorax of a subject, for generating first signals that are indicative of movement of the thorax of the subject; a receiver for receiving the first generated signals during breathing motion of the subject; and one or more computing devices in data communication with the receiver, for analyzing the breathing motion. The computing device is operable to generate a first breathing pattern from the first signals; divide each respiratory cycle experienced by the subject and defined by the first pattern into a plurality of portions, each of the portions delimited by two different time points and calculate, for each of the plurality of portions of a given respiratory cycle of the first pattern, a slope representing a thorax velocity; derive, from the given respiratory cycle of the first pattern, a pulmonary air flow rate of the subject during predetermined portions of the respiratory ...

SYSTEM AND METHOD FOR BIOMETRIC IDENTIFICATION USING SLEEP PHYSIOLOGY

The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.

SYSTEM AND METHOD FOR ASSESSING SLEEP STATE

Assessing sleep state of an individual. A time series of accelerometer data is obtained from an accelerometer device mounted upon or to the individual. From the time series of accelerometer data a percentage of time in which the individual is substantially immobile (%TA) is determined. From the time series of accelerometer data a typical time of continuous immobility (MTI) is also determined. The %TA and MTI are combined such as by weighted sum, to produce a sleep score. If the sleep score exceeds a threshold, this is an indication that the individual is asleep.

SYSTEM AND METHOD FOR CHARACTERISING THE SLEEP OF AN INDIVIDUAL

Système et procédé de caractérisation du sommeil d'un individu Système de caractérisation du sommeil d'un individu, le système de caractérisation comprenant : - un dispositif de mesure adapté pour mesurer un signal d'activité cérébrale représentatif des ondes cérébrales, - une unité centrale électronique adaptée pour : identifier, dans une plage de fréquences de 9 à 16 Hz, une plage réduite de fuseaux de sommeil propre à l'individu, la plage réduite de fuseaux de sommeil comprenant les fréquences d'ondes cérébrales de l'individu endormi présentant une amplitude supérieure à 15 µV et une durée comprise entre 0,5 seconde et 2 secondes, comparer au moins un paramètre du signal d'activité cérébrale de l'individu éveillé dans la plage de fréquences correspondant à la plage réduite de fuseaux de sommeil à un seuil, - une interface de communication reliée à l'unité centrale et adaptée pour émettre un signal d'avertissement perceptible par l'individu lorsque le paramètre du signal d'activité cérébrale ...

MODULAR PHYSIOLOGIC MONITORING SYSTEMS, KITS, AND METHODS

Systems, devices, methods, and kits for monitoring one or more physiologic and/or physical signals from a subject are disclosed. A system including patches and corresponding modules for wirelessly monitoring physiologic and/or physical signals is disclosed. A service system for managing the collection of physiologic data from a customer is disclosed. An isolating patch for providing a barrier between a handheld monitoring device with a plurality of contact pads and a subject is disclosed.

SYSTEMS AND METHODS FOR DIAGNOSIS OF DEPRESSION AND OTHER MEDICAL CONDITIONS

According to some aspects, one or more systems and methods for the diagnosis of a medical condition, such as depression, based on an analysis of sleep information. In some embodiments, the diagnostic system includes at least one recorder for recording sleep information about a patient, and at least one analyzer adapted to analyze the sleep information and determine whether the patient is experiencing the medical condition.

METHOD AND APPARATUS FOR BIOLOGICAL EVALUATION

A medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.

MOTION MONITOR

A marker for a respiratory monitoring system, comprises: a) a base configured to be positioned in the vicinity of a subject's body; b) power supply elements; c) a LED assembly comprising a LED suitable to generate light; and, d) circuitry suitable to operate said LED.

SYSTEMS AND METHODS FOR PROVIDING A WAKING MECHANISM

An EEG monitor with sensors placed to detect signals and analyze the signals to determine if a frequency below 12 Hz, and more particularly between 3 Hz and 8 Hz, called theta waves, are present. Theta waves are generated when the brain is entering a drowsy or sleep mode. The sensors detect brain wave signals and transmit the signals to a microprocessor which analyzes the signals and determines the brain waves being detected. The brain waves are continuously monitored and the data is continuously transmitted to a microprocessor. If brain waves are detected in the predetermined range of between 3Hz and 8 Hz the microprocessor activates a stimulus, to wake up the person wearing the device. The stimulus may be visual, auditory or tactile, such as an actuator, a phone call or any other stimulus ...

AN APPARATUS AND METHODS FOR HEATING OR COOLING A BED BASED ON HUMAN BIOLOGICAL SIGNALS

Introduced are methods and systems for an adjustable bed device configured to: gather biological signals associated with multiple users, such as heart rate, respiration rate, or temperature; analyze the gathered human biological signals; and heat or cool a bed based on the analysis.

PREDICTING HUMAN COGNITIVE PERFORMANCE

An apparatus and method for predicting cognitive performance of an individual based on factors including preferably sleep history, the time of day, and the individual's activities. The method facilitates the creation of predicted cognitive performance curves that allow an individual to set his/her sleep times to produce higher levels of cognitive performance. The method also facilitates the reconstruction of past cognitive performance levels based on sleep history.

A SLEEP SYSTEM FOR OBTAINING SLEEP INFORMATION

Sleep systems having embedded sensors are described. In one aspect, a sleep system includes a mattress and one or more force sensors embedded within the mattress. The force sensors are positioned within the mattress to sense movement of an occupant of the mattress. The sleep system also includes one or more processors coupled with the one or more force sensors. At least one of the processors is configured to determine sleep state information for the occupant based on data obtained from one or more of the force sensors. 1 ...

METHOD AND SOFTWARE TO DETERMINE PROBABILITY OF SLEEP/WAKE STATES AND QUALITY OF SLEEP AND WAKEFULNESS FROM AN ELECTROENCEPHALOGRAM

Method and software are provided to format a probability index that reflects where an electroencephalogram (EEG) pattern lies within the spectrum of wakefulness to deep sleep, which employs a computer/microprocessor that performs frequency domain analysis of one or more discrete sections (Bins) of the EEG to determine the EEG power at specified frequencies, optionally calculates the total power over specified frequency ranges, assigns a rank to the power at each frequency, or frequency range, assigns a code to the Bin that reflects the ranking of the different frequencies or frequency ranges, and determines an index that reflects where said EEG pattern within said Bin(s) lies within the spectrum of wakefulness to deep sleep by use of a reference source, such as a look-up table or other suitable decoding instrument. The reference source is obtained by calculating the probability of Bins with different codes occurring in epochs scored as awake or asleep in reference files scored by one or ...

Sleep study system and method

System and method for determining spectral boundaries for sleep stage classification

Detection of sleep condition

DEVICE AND METHOD FOR STIMULATING BRAIN SLOW WAVE

Dispositif (1) autonome de stimulation des ondes lentes cérébrales apte à être porté par une personne (P), notamment au cours d'une période de sommeil de ladite personne. Le dispositif (1) comporte un élément support (2), apte à entourer une tête d'une personne, sur lequel sont montés des électrodes (3) en contact avec la personne pour acquérir un signal de mesure représentatif d'un signal électrique physiologique de la personne, un transducteur acoustique (4) pour émettre un signal acoustique (A) stimulant une oreille interne de la personne, et une électronique (5) embarquée de conditionnement et de contrôle pour, en temps réel souple, recevoir le signal de mesure et commander l'émission d'un signal acoustique (A) synchronisé avec un motif temporel prédéfini d'onde lente cérébrale.

APPARATUS FOR ACQUIRING BIOLOGICAL CONDITION, METHOD FOR ACQUIRING A BIOLOGICAL CONDITION, APPARATUS AND AN AIR CONDITIONER HAVING AN APPARATUS FOR ACQUIRING BIOLOGICAL CONDITION

L'invention concerne un appareil d'acquisition de l'état biologique, qui comprend une unité d'acquisition de signal IQ (51) configurée pour transmettre une onde électromagnétique à la surface corporelle de l'organisme vivant, effectuer une détection IQ de l'onde réfléchie et acquérir des signaux I et des signaux Q émis d'un détecteur d'onde IQ (20) qui envoie les signaux I et les signaux Q en séquence en séries chronologiques et une unité d'acquisition de l'état biologique (52) configurée pour acquérir un état biologique sur la base d'un locus des signaux acquis qui sont acquis par l'unité d'acquisition de signal IQ (51) sur un plan IQ.

심박수 정보를 이용한 운동 수행 모니터링 시스템

... 조명원은 사용자의 피부를 조명하도록 구성될 수 있다. 조명 검출기는 사용자의 피부로부터 반사된 전자기 방사선을 검출할 수 있다. 보정 모듈은 상기 조명 검출기와 관련된 사용자 피부의 포지션을 결정하도록 구성될 수 있다. 프로세서는 상기 조명 검출기에 의해 검출된 전자기 방사선의 양에 대응하는 정보를 분석함으로써 사용자의 심박수를 결정하도록 구성될 수 있다. 프로세서는 또한 상기 보정 모듈에 의해 결정된 사용자 피부의 포지션을 보정함으로써 사용자의 심박수를 결정할 수 있다.

수면 제어 장치 및 수면 제어 방법

... 수면 변수 산출부는, 수면 중인 대상자의 수면 심도의 변화를 예측하고, 자극 제시 장치는, 대상자의 각성 시간에 있어서 대상자의 수면 심도가 보다 깊어지는 추이 상태라고 수면 변수 산출부에 의해 예측될 때에는, 각성 시간보다 전의 시간에 대상자에게 자극을 부여한다.

SYSTEM FOR SENSING AND TREATMENT OF SNORING AND SLEEP APNEA

SLEEP INDUCTION DEVICE AND METHOD FOR INDUCTING A CHANGE IN A SLEEP STATE

WO 18/ 1867 39 Al (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 11 October 2018 (11.10.2018) WIPO I PCT IiiimmomiolollmonolomonolioomlloonomovoimIE (10) International Publication Number WO 2018/186739 Al Resp ira to ry ra te (51) International Patent Classification: A61M 21/02 (2006.01) A61B 5/00 (2006.01) A61M 21/00 (2006.01) (21) International Application Number: PCT/NL2018/050203 (22) International Filing Date: 03 April 2018 (03.04.2018) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 2018645 04 April 2017 (04.04.2017) NL 2018883 10 May 2017 (10.05.2017) NL (71) Applicant: SOMNOX HOLDING B.V. [NL/NL]; 12, Molengraaffsingel, 2629 JD Delft (NL). (72) Inventors: ENGEL, Job; 116, Balthasar van der Pol- weg, 2628 AW Delft (NL). JAGTENBERG, Julian; 6A, Westplantsoen, 2613 GL Delft (NL). KOOYMAN VAN GULDENER, Wouter; ...

SLEEP CONTROL DEVICE AND CONTROL METHOD THEREFOR

A drowsiness level detection section (6) detects a drowsiness level of an individual person. A sleep depth level control section (11) controls the sleep depth of the individual person based on the detected drowsiness level. The sleep depth level control section executes a first sleep control (4, s7), in which the sleep depth level of the individual person is maintained at a predetermined sleep depth level below a maximum sleep depth level (4, s6), if the detected drowsiness level is equal to or below a predetermined threshold.

SYSTEM FOR MONITORING HEALTH, WELLNESS AND FITNESS

An apparatus for monitoring human status parameters including at least two sensors, at least one sensor being a physiological sensor. The at least two sensors are adapted to generate data indicative of at least a first parameter of an individual and a second parameter of an individual. The apparatus also includes a processor for receiving at least a portion of the data indicative of a first parameter and a second parameter. The processor is adapted to generate derived data from at least a portion of the data indicative of a first parameter and a second parameter. The derived data is a third parameter of the individual that cannot be directly detected by any of the at least two sensors. In one embodiment, the at least one sensor is a physiological sensor selected from a group of specific sensors. In another embodiment, the third parameter is selected from a group of specific parameters. The apparatus may include a central monitoring unit remote from the sensors for storing data and transmitting ...

METHOD FOR A PRELIMINARY SLEEP MEDICINE DIAGNOSIS AND THERAPY MONITORING

The invention relates to a method and device for a preliminary sleep medicine diagnosis and therapy monitoring. According to the method and the device for sleep phase detection, the sleep phases are subdivided into three phases deep, shallow and not-shallow or into two sleep phases deep and not-deep following a respiratory sound analysis. The method of the invention is characterized by recording respiratory sounds by means of a microphone system and using the same for sleep phase detection according to a neuronal spectral mean and RMS method.

SLEEP STATE MONITORING

A method for operating a security and/or automation system is described. A sensor may identify when a first person is in a sleep state. The sensor may detect a disturbance in the sleep state, and alert a second person when the detected disturbance satisfies one or more disturbance parameters.

SYSTEM AND METHOD FOR OUTPUTTING AN INDICATOR REPRESENTATIVE OF THE EFFECTS OF STIMULATION PROVIDED TO A SUBJECT DURING SLEEP

The present disclosure pertains to a system configured to output an indicator representative of effects of stimulation provided to a subject during a sleep session. The indicator is determined based on a combination of the effect of stimulation on sleep restoration, stimulation quality, sleep architecture factors, and/or other information. The indicator is determined using age matched reference information on deep sleep duration and EEG slow wave activity. The contribution to the indicator associated with sleep architecture factors is determined based on age matched reference information including sleep onset latency, wake after sleep onset, total sleep time, micro-arousal count, sleep stage(s) prior to awakening, and/or other information.

SYSTEMS, METHODS, AND/OR APPARATUSES FOR NON-INVASIVE MONITORING OF RESPIRATORY PARAMETERS IN SLEEP DISORDERED BREATHING

In certain example embodiments, an air delivery system includes a controllable flow generator operable to generate a supply of pressurized breathable gas to be provided to a patient for treatment and a pulse oximeter. In certain example embodiments, the pulse oximeter is configured to determine, for example, a measure of patient effort during a treatment period and provide a patient effort signal for input to control operation of the flow generator. Oximeter plethysmogram data may be used, for example, to determine estimated breath phase; sleep structure information; autonomic improvement in response to therapy; information relating to relative breathing effort, breathing frequency, and/or breathing phase; vasoconstrictive response, etc. Such data may be useful in diagnostic systems. 1. An air delivery system , comprising:a controllable flow generator operable to generate a supply of pressurized breathable gas to be provided to a patient for treatment;a pulse oximeter; anda controller configured to determine sleep structure information for the patient and track the sleep structure information to indicate a therapy's effectiveness based at least in part on output from the pulse oximeter.2. The air delivery system of claim 1 , wherein the sleep structure information includes information about the patient's start claim 1 , finish claim 1 , and/or REM sleep states.3. The air delivery system of claim 2 , wherein information about the patient's sleep state is extrapolated via heart period analysis.4. The air delivery system of claim 1 , wherein the controllable flow generator is adapted to provide Continuous Positive Airway Pressure (CPAP).5. The air delivery system of claim 1 , wherein the sleep structure information is tracked by performing statistical or fractal analysis of pulse interval data.6. The air delivery system of claim 1 , wherein the sleep structure information is tracked by analyzing heart-rate variability indices to indicate sleep onset.7. A method for ...

System and Method for Diagnosis and Treatment of a Breathing Pattern of a Patient

Described is a system including a sensor and a processing arrangement. The sensor measures data corresponding to a patient's breathing patterns. The processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of a REM sleep state. In another embodiment, the processing arrangement analyzes the breathing patterns to determine whether the breathing patterns are indicative of one of the following states: (i) a wake state and (ii) a sleep state. In another embodiment, a neural network analyzes the data to determine whether the breathing patterns are indicative of one of the following states: (i) a REM sleep state, (ii) a wake state and (iii) a sleep state. In another embodiment, the processing arrangement analyzes the data to determine whether the breathing pattern is indicative of an arousal.

MOBILE TERMINAL APPARATUS, PROGRAM, AND BIOLOGICAL INFORMATION MEASUREMENT SYSTEM

A mobile terminal apparatus capable of reducing inconvenience, a program, and a biological information measurement system are provided. A mobile terminal apparatus includes a gyro sensor configured to detect a motion factor and a controller configured to perform measurement operation of biological information of a user on the basis of the motion factor detected due to a movement of the user. The controller starts or stops the measurement processing on the basis of the motion factor.

Air mattress system and controlling method of air mattress system

An air mattress system includes an air mattress configured to self-adjust its own pressure, a user terminal receiving a set value or user information from a user and transmitting the set value or the user information to the air mattress, and a server receiving measurement data from the air mattress to analyze a sleep pattern and sleep quality of a user and transmitting the analyzed sleep pattern and sleep quality to the user terminal, wherein the air mattress is configured such that the air mattress is divided into multiple sections and the pressure is adjusted for each section based on the set value or the user information.

SLEEP PERFORMANCE SYSTEM AND METHOD OF USE

Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

Sleep evaluation device and sleep evaluation method therefor

A sleep evaluation device (1) has a sensor unit (2) that constantly detects body movements of a human subject on bedding, and has a determiner that, based on results of detection, determines a sleep state and an aroused state of the human subject. The determiner quantifies results of detection of the sensor unit into N number of body movement data (where, N is a positive integral number satisfying N>=2) and obtains, based on G number of standard deviations for each of G groups (in which G is an integral number satisfying 2@G Подробнее

IMPLANTABLE NEUROSTIMULATOR-IMPLEMENTED METHOD FOR ENHANCING HEART FAILURE PATIENT AWAKENING THROUGH VAGUS NERVE STIMULATION

An implantable neurostimulator-implemented method for managing tachyarrhythmias upon a patient's awakening from sleep through vagus nerve stimulation is provided. An implantable neurostimulator, including a pulse generator, is configured to deliver electrical therapeutic stimulation in a manner that results in creation and propagation (in both afferent and efferent directions) of action potentials within neuronal fibers comprising the cervical vagus nerve of a patient. Operating modes of the pulse generator are stored. An enhanced dose of the electrical therapeutic stimulation is parametrically defined and tuned to prevent initiation of or disrupt tachyarrhythmia upon the patient's awakening from a sleep state through at least one of continuously-cycling, intermittent and periodic ON-OFF cycles of electrical pulses. Other operating modes, including a maintenance dose and a restorative dose are defined. The patient's physiological state is monitored via at least one sensor to detect that ...

INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, STORAGE MEDIUM STORING INFORMATION PROCESSING PROGRAM, AND INFORMATION PROCESSING METHOD

An example information processing system executes a game application. The information processing system obtains user information for calculating information relating to sleep of a user, and calculates health information relating to sleep and/or fatigue of the user based on the obtained user information. The information processing system controls a game progress of the game application based on the health information.

Cycle-based sleep coaching

Physiological parameters such as respiratory rate and/or heart rate variability can be measured over time for a user and correlated to physiological and/or hormonal cycles such as the menstrual cycle. By determining the phase of such a cycle in this manner, an automatic coach for the user can recommend phase-specific adjustments to activities such as sleep and exercise.

Head-mounted systems with sensor for eye monitoring

A head-mounted device may have a head-mounted housing. The head-mounted housing may have displays that overlap a user's eyes and/or speakers that provide sound to the user's ears. The head-mounted housing may have transparent lenses that overlap the eyes of the user or may have opaque structures that prevent ambient light from reaching the user's eyes. The head-mounted device may have a geographic location sensor such as a satellite navigation system sensor and may include an orientation sensor such as an inertial measurement unit. The direction of a user's gaze relative to the head mounted device may be measured using an electrooculographic sensor. Electrodes in the electrooculographic sensor may measure signals resulting from the standing potential between the retina and cornea in the eye. Facial expressions and eye blinks may affect the signals detected with the electrodes and can be monitored during operation.

Systems, methods, and devices for brain stimulation and monitoring

Provided are systems, methods, and devices for brain stimulation and monitoring. Brain stimulation may be provided to enhance slow wave and spindle synchrony. Such stimulation may provide increased memory consolidation. Furthermore, brain stimulation modalities may provide enhanced sleep and awakening. For example, transcranial direct current stimulation of the brain stimulation may enhance sleep quality. Moreover, one or more markers characterizing unconsciousness are may be identified based on changes in measured power densities or spectra. Further still, the above described modalities of brain stimulation may be implemented in an open-loop or closed loop manner. Brain state parameters may be generated for building models of the brain based on determined synchrony patterns between slow waves and spindles. The models may be used to determine a mediation procedure for adjusting the intensity of slow wave oscillations to enhance slow wave and spindle synchrony.

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD

An information processing apparatus includes: an acquisition unit configured to acquire, based on an output from a detection device that can detect a body movement of a user who receives care assistance, body movement information including information related to a sleep state of the user; a storing unit configured to store information in which a response content performed by a skilled worker to the user has been associated with first body movement information serving as the time series body movement information; and a processing unit configured to perform processing of presenting, when having acquired a request including second body movement information serving as the time series body movement information, similar information including a similarity between the second body movement information and the first body movement information, and the response content associated with the first body movement information.

SLEEP PHASE DEPENDENT TEMPERATURE CONTROL AND LEARNING METHODS TO OPTIMIZE SLEEP QUALITY

БЕСКОНТАКТНАЯ СИСТЕМА СКРИНИНГА НАРУШЕНИЙ СНА

Изобретения относятся к медицине. Способ диагностики нарушения сна осуществляют с помощью системы для диагностики нарушения сна. При этом формируют с помощью устройства ввода звука выходные сигналы, переносящие информацию, относящуюся к исходящему от пациента в обстановке сна звук. Проецируют с помощью источника света структурированный свет на пациента, который деформируется, когда пациент двигается. Принимают с помощью детектора отраженный от пациента свет. Формируют с помощью детектора выходные сигналы, которые переносят информацию, относящуюся к изменениям в структурированном свете, вызванным движением пациента. Определяют с помощью процессоров движение пациента на основании расстояния между источником света и детектором и изменения в угле отраженного света от структурированного света, принятого от отдельной движущейся точки на пациенте. Конструируют изображения, полученные из информации, относящейся к изменениям в структурированном свете, так, чтобы получить векторы движения. Векторы ...

КОРРЕКТИРОВКА ИНТЕНСИВНОСТИ СЕНСОРНОЙ СТИМУЛЯЦИИ ДЛЯ УСИЛЕНИЯ АКТИВНОСТИ МЕДЛЕННЫХ ВОЛН СНА

Группа изобретений относится к медицине и может быть использована для управления текущим сеансом сна субъекта. Группа изобретений представлена системами и способом управления текущим сеансом сна субъекта (12). Система (10) управления содержит один или более сенсорных стимуляторов (16), один или более датчиков (18) и один или более процессоров (20). Модули компьютерной программы содержат модуль (32) этапов сна, модуль (33) хронирования медленноволнового сна, управляющий модуль (34), модуль (36) эффективности и модуль (38) корректировки. Генерируют выходные сигналы о текущем этапе сна субъекта. Определяют текущий этап сна субъекта. Определяют, находится ли субъект в настоящее время в медленноволновом сне. Определяют отдельные периоды времени медленноволнового сна во время текущего сеанса сна. Управляют одним или более сенсорными стимуляторами для предоставления сенсорных стимулов заданной интенсивности субъекту в течение отдельных периодов времени медленноволнового сна. Определяют эффективность ...

НЕИНВАЗИВНЫЙ СПОСОБ И УСТРОЙСТВО ДЛЯ ОПРЕДЕЛЕНИЯ СТАДИЙ ПОВЕРХНОСТНОГО И ГЛУБОКОГО СНА

... 1. Способ измерений и различения стадии глубокого сна от стадии поверхностного сна субъекта в интервалах дискретизации, включающий: ! a) измерение в каждом интервале дискретизации сигнала периферического пульса субъекта в месте тела субъекта, связанном с большим кругом его кровообращения; ! b) анализ измеренного сигнала периферического пульса для определения по нему одной или нескольких следующих переменных: ! 1) средняя амплитуда и частота сердечных сокращений в измеренном сигнале периферического пульса; ! 2) масштабирующий коэффициент анализа флуктуации с исключенным трендом амплитуды и частоты сердечных сокращений в измеренном сигнале периферического пульса; ! 3) пиковая величина спектральной плотности для низкой частоты (LF) амплитуды и частоты сердечных сокращений в измеренном сигнале периферического пульса; ! 4) пиковое значение спектральной плотности для очень низких частот (VLF); ! 5) пиковое значение спектральной плотности для сверхнизких частот (ULF) в измеренном сигнале периферического ...

СПОСОБ, УСТРОЙСТВО И СИСТЕМА ОПРЕДЕЛЕНИЯ СОСТОЯНИЯ СНА

СПОСОБ И УСТРОЙСТВО ДЛЯ ВКЛЮЧЕНИЯ КОНДИЦИОНЕРА

СИСТЕМА И СПОСОБ ДЛЯ ПРОВЕДЕНИЯ ФОТОТЕРАПИИ

... 1. Система, выполненная с возможностью обеспечения фототерапии субъекта, когда субъект спит, при этом система содержит:один или более осветительных модулей, выполненных с возможностью обеспечения излучения на глаза субъекта;один или более датчиков, выполненных с возможностью формирования одного или более выходных сигналов, которые содержат информацию, относящуюся к положению век субъекта; ипроцессор, выполненный с возможностью получения одного или более выходных сигналов, сформированных одним или более датчиками, и управления одним или более осветительными модулями таким образом, что один или более осветительных модулей обеспечивают излучение на глаза субъекта с уровнем интенсивности, который определяется на основании положения век субъекта, причем выходной сигнал, формируемый одним или более датчиками, содержит информацию, относящуюся к тому, открыты или закрыты веки субъекта, и причем процессор выполнен с возможностью управления одним или более осветительными модулями, () чтобы обеспечивать ...

УСТРОЙСТВО ДЛЯ КОНТРОЛЯ СНА

СЕНСОРНЫЕ СТИМУЛЫ ДЛЯ ПОВЫШЕНИЯ ТОЧНОСТИ ОЦЕНКИ ОПРЕДЕЛЕНИЯ СТАДИЙ СНА

System und Verfahren zur Entspannung sowie zur Unterstützung und Überwachung eines Kurzschlafes

Um auch ungeübten Menschen einen erholsamen Kurzschlaf zu ermöglichen, wird ein System zur Entspannung und/oder zur Unterstützung, Einleitung und/oder Überwachung eines Kurzschlafes eines Menschen, mit einer Abschirmeinrichtung zum mindestens teilweisen Abschirmen des Menschen von seiner Umgebung, mit einer Entspannungseinrichtung, zum Entspannen und/oder Einleiten des Einschlafens des Menschen, mit einer Schlafdetektionseinrichtung zum Feststellen, ob der Mensch eingeschlafen ist, mit einer Weckeinrichtung zum Wecken des Menschen nach einer vorgegebenen Schlafdauer vorgeschlagen. Ferner wird ein Verfahren zur Entspannung und/oder Unterstützung, Einleitung und/oder Überwachung eines Kurzschlafes eines Menschen, bei welchem der Mensch mindestens teilweise von seiner Umgebung abgeschirmt wird, bei welchem eine Entspannung und/oder ein Einleiten des Einschlafens des Menschen durchgeführt wird, bei welchem detektiert wird, ob der Mensch eingeschlafen ist, und bei welchem der Mensch nach einer ...

Beleuchtungssystem für mindestens ein Leuchtmittel

Beleuchtungssystem für mindestens ein Leuchtmittel, insbesondere für Leuchtdioden, aufweisend – eine Leuchte (3) – einen Konverter zum Betreiben des Leuchtmittels, – ein Erfassungsgerät (7), wobei das Erfassungsgerät (7) dazu ausgelegt ist die Schlafphase einer Person (4) festzustellen, dadurch gekennzeichnet, dass das Beleuchtungssystem (1) das Leuchtmittel in unterschiedlichen Betriebsmodi betreiben kann, wobei die Betriebsmodi in Abhängigkeit von der durch das Erfassungsgerät (7) festgestellten Schlafphase der Person (4) aktiviert werden.

Kardiakuntersuchung mit Schlupfdetektierung bei Augenschnellbewegung

Systems and methods for monitoring and modulating circadian rhythms

Sleep monitoring device 2, 2 positioned e.g. on a wall or ceiling, comprises a motion sensor, preferably an ultra-wideband (UWB) radar sensor, positioned around 40cm from the chest. Motion data gives user respiration, heartbeat or body & limb movement information which, along with data from an environmental sensor such as light, temperature, humidity or noise (e.g. for correlation), is transmitted preferably wirelessly to a mobile device or remote server. Determined patterns of sleep stage e.g. REM indicate quality and duration of sleep, while visual or audible alarms may be used for a waking. Also disclosed are a device 4 having LEDs controlled by a lighting programme received from a mobile device or remote server, to modulate the users circadian rhythm, and a system determining sleep patterns from motion data of the user, producing a circadian rhythm model and associated lighting programme.

Improvements in or relating to physiological monitoring

Removal of artifacts in neurophysiological signals

Sleep activity detection method and apparatus

Detecting sleep activity comprising receiving 20 one or more input signals which may include signals from physiological and environmental sensors. These signals are normalised 22 and then segmented 26. A circadian rhythm value is calculated 24 from a circadian rhythm model, and a sleep-wake pressure value is calculated 24 from a sleep-wake pressure model. A sleep probability value is calculated 36 as a function of a least one characteristic of the segmented normalised signals (e.g. mean and standard deviation values for each segment), and the circadian rhythm and sleep-wake pressure values. An output signal indicating that the input signals comprise a sleep episode if the sleep probability value is above a predefined threshold 38. The signals may be normalised by subtracting the baseline and dividing by a maximum of a period of the signals. The signals may be segmented using the Bayesian online changepoint detection.

PROCEDURE AND DEVICE FOR PREDICTING HUMAN COGNITIVE ACHIEVEMENT

Method for detecting body movements of a sleeping person

Die Erfindung betrifft ein Verfahren zur Detektion von Körperbewegungen einer schlafenden Person (1), wobei a) ein zwei- oder dreidimensionales Höhenprofil (H) der Person (1) erstellt wird, - wobei im Höhenprofil (H) eine Anzahl von zumindest zwei Punkten festgelegt ist, - wobei für jeden der Aufnahmezeitpunkte (t1, ..., tp) das Höhenprofil (H) zur Verfügung gehalten wird, - wobei ein Bereich als erste interessierende Region (ROI1) ausgewählt wird, b) Zeitabschnitte (Z1, Z2, Z3) von Änderungen des Höhenprofils (H) der ersten interessierenden Region (ROI1), sowie zeitliche Zwischenräume (L1, L2, L3) bestimmt werden, c) für jeden der zeitlichen Zwischenräume (L1, L2, L3) ein Rauschwert (r(x,y)) bestimmt wird, d) weitere Zeitabschnitte (Y1, Y2, Y3) von Änderungen in den zeitlichen Zwischenräumen (L1, L2, L3) unter Berücksichtigung des Rauschwerts (r(x,y)) bestimmt werden, e) die in den Schritten b) und d) identifizierten Zeitabschnitte (Z1, Z2, Z3) und weiteren Zeitabschnitte (Y1, Y2, Y3) ...

SLEEP PRICE INCREASE DEVICE AND CONTROL PROCEDURE FOR IT

PROCEDURE AND DEVICE FOR NOT INVASIVEN THE REGULATION OF SLEEP CONDITIONS OF MEANS MONITORING OF THE PERIPHERAL ONE VASKULARSYSTEMS

System and method for diagnosis and treatment of a breathing pattern of a patient

METHOD, APPARATUS AND SYSTEM FOR CHARACTERIZING SLEEP

Method and apparatus for non-invasive detection of physiological and patho-physiological sleep conditions

Method and apparatus for the non-invasive detection of certain breathing conditions, certain sleep disordered breathing conditions, or assessment of the person's myocardial contractility and its dynamic changes, comprising steps of: determining the sleep or wake status of a person, monitoring circulatory pulse waveforms and amplitude normalized pulse wave systolic upstrokes recorded from a person' s body and determining at least one index of the upstroke to characterize the strength of the contraction of the heart during the systolic upstroke during a series of heart beats relating to a breathing cycle or an absent anticipated breathing cycle of the patient, and determining that a certain change in a breathing condition, a sleep disordered breathing condition, or assessment of the person's myocardial contractility and its dynamic changes, has occurred when a specific change in the sleep disordered breathing analysis, and the at least one index of the upstroke has been detected.

Automated sleep phenotyping

Device and method for sleep monitoring

A device and method for sleep monitoring, in particular to a device and method for determining time-to-sleep and wake periods during sleep and to a device and method for determining rapid eye movement (REM) sleep and non REM (NREM) sleep. The method for determining time-to-sleep and wake periods during sleep comprising the steps of obtaining motion data representative of motion of a user; detecting the time-to-sleep from the motion data based on a first time-above-threshold (TAT) threshold and a first proportional integration method (PIM) threshold; and detecting the wake periods during sleep from the motion data based on a second TAT threshold and a second PIM threshold.

Vent arrangement for respiratory mask

A control system (706) provides automated control of gas washout of a patient interface, such as a mask or nasal prongs. A gas washout vent assembly (60) of the system may include a variable exhaust area such as one defined by overlapping apertures of the assembly or a conduit having a variable gas passage channel. The vent assembly may be formed by nested structures, such as conic or cylindrical members, each having an opening of the overlapping apertures. The vent assembly may be attached substantially near or included with the patient interface. An actuator of the assembly, such as a solenoid or voice coil, manipulates an aperture of the vent assembly. The actuator may be configured for control by a controller to change the exhaust area of the vent assembly based on various methodologies including, for example, sleep detection, disordered breathing event detection, rebreathing volume calculation and/or leak detection.

System and Method for Determining Sleep Stage

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress). WO 2014/047310 PCT/US2013/060652 /4100,4020 4200 4010 4014 ...

Systems and methods for diagnosis of depression and other medical conditions

Abstract According to some aspects, one or more systems and methods for the diagnosis of a medical condition, such as de-pression, based on an analysis of sleep information. In some embodiments, the diagnostic system includes at least one recorder for recording sleep information about a patient, and at least one analyzer adapted to analyze the sleep information and determine wheth-er the patient is experiencing the medical condition. K? r-4I ...

Bed having features for improving a sleeper's body thermoregulation during sleep

A sensing unit is configured to generate pressure readings from a phenomena within a sleep environment and to generate temperature readings from a sensed temperature. A processing unit is configured to select a thermoregulation adjustment and to alter a thermal property of a sleep environment based on the selected thermoregulation adjustment.

Arrayed electrodes in a wearable device for determining physiological characteristics

Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices in capturing and deriving physiological characteristic data. More specifically, an array of electrodes and methods are configured to determine physiological characteristics using a wearable device (or carried device) that may be subject to motion. In one embodiment, an array of electrodes is disposed substantially in a wearable housing. At least a portion of the array including electrodes configured to either drive a first signal to a target location or receive a second signal from the target location. The second signal includes data representing one or more physiological characteristics. A sensor selector is configured to identify a subset of the electrodes adjacent to the target location and to select the subset of the electrodes from which to receive a sensor signal that includes data representing one or more physiological characteristics ...

METHOD AND APPARATUS FOR THE NON-INVASIVE DETECTION OF PARTICULAR SLEEP-STATE CONDITIONS BY MONITORING THE PERIPHERAL VASCULAR SYSTEM

Automated detection of sleep and waking states

Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.

Stimulatory effect estimation device, sleep depth estimation device, stimulatory effect estimation method, and vehicle control device

A stimulatory effect estimation device includes a stimulus generator 3 which applies a stimulus to a back seat passenger, an electroencephalogram 2 which measures the brain waves of the back seat passenger, a memory 4 , and an ECU 5 which specifies the brain wave indexes of stimulatory effects which surface in response to the stimuli both when the passenger is awake and when the passenger is asleep from the brain waves measured by the electroencephalogram 2 when a stimulus is applied from the stimulus generator 3 while the passenger is awake and the brain waves measured by the electroencephalogram 2 when a stimulus is applied from the stimulus generator 3 while the passenger is asleep. The ECU 5 estimates stimulatory effects when the passenger is asleep from stimulatory effects when the passenger is awake using a conversion model for converting the stimulatory effect when the passenger is awake and the stimulatory effects when the passenger is asleep on the basis of the brain wave indexes which surface when the same stimulus is applied when the passenger is awake and when the passenger is asleep, and selects a stimulus which is applied to the back seat passenger on the basis of the relationship between the stimulatory effects and the changes in sleep depth.

Vessel pulse wave measurement system conducting vessel pulse wave measurement by obtaining pulsation waveform of blood vessel

A vessel pulse wave measurement system performs vessel pulse wave measurement using an optical probe circuit provided with an optical probe including a light emitting element and a light receiving element, a drive circuit, and a detection circuit. A measurement device directly and synchronously feeds back an electrical signal from the optical probe to the drive circuit as a drive signal to generate a self-oscillation signal from the detection circuit, and measures the self-oscillation signal as a vessel pulse wave signal. A controller controls an operating point of at least one of the detection circuit and the drive circuit such that the self-oscillation signal substantially reaches a maximum level thereof.

Method and system for activity/rest identification

Disclosed embodiments include a method for automatic identification of activity and rest periods based on an actigraphy signal. According to an embodiment, the method comprises (a) applying one or more filters to the actigraphy signal to generate a filtered actigraphy signal, and (b) comparing the filtered actigraphy signal against an adaptive threshold to generate an output signal corresponding to the activity and rest periods. The method can be implemented as part of a medical apparatus or medical system for automatic activity/rest identification from actigraphy signals.

Physiological and neurobehavioral status monitoring

A system and methods of use are disclosed for monitoring the neurobehavioral and physiological status of one or more individuals across a distributed network, the system comprising, at least in part, and according to alternative embodiments, i) a physiological sensor capable of measuring patient movement; ii) additional physiological sensors; iii) a wireless controller for monitoring polling cycles and power consumption ratings; iv) an administrative user interface for executing various executive control functions; and v) a patient interface capable of receiving input, providing output, and, optionally, administering one or more neurobehavioral tests.

System and method for detecting sleep onset in a subject based on responsiveness to breathing cues

A wake-to-sleep transition for a subject is detected based on responsiveness to breathing cues provided to the subject. A pressurized flow of breathable gas to the airway of subject having one or more gas parameters that are adjusted to provide breathing cues to the subject. Based on a detected conformance of the respiration of the subject to the breathing cues, a determination is made as to whether the subject is awake or asleep.

Portable monitoring devices and methods of operating same

The present inventions, in one aspect, are directed to a portable activity monitoring device to calculate a number of stairs or flights of stairs traversed by a user, the monitoring device comprising (i) a housing having a physical size and shape that is adapted to couple to the body of the user, (ii) an altitude sensor, disposed in the housing, to detect a change in altitude of the user and, in response thereto, to generate data which is representative of the change in altitude of the user, and (iii) processing circuitry, disposed in the housing and coupled to the motion sensor and the altitude sensor, to calculate a number of stairs or flights of stairs traversed by the user using the data which is representative of a change in altitude of the user.

Method, system, and appartus for monitoring and transmitting physiological characteristics

An apparatus, system, and method for monitoring a child's vitals and transmitting these vitals, through wireless technology, to a portable alert device. The child monitoring device may include a wearable device, a base station, and a portable alert device. The wearable device may record, among other things, a child's pulse oximetry, and send data regarding these readings, via short range transmission, to a base station which may analyze these readings, and transmit data regarding the child's health, via long range transmission, to the portable alert device. This apparatus will enable a caregiver to monitor a child for sign of health problems, including sleep apnea and SIDS, and alert the caregiver at the onset of any such problems.

System and Method for Managing Sleep Disorders

The present invention provides a method for managing a patient having a sleep disorder, e.g. sleep apnea, snoring, sleep bruxism, upper airway resistance syndrome, etc. The method comprises monitoring physiological information from the patient, converting the physiological information to digital data, storing the digital data in a digital memory, identifying and characterizing epochs based on the digital data, and storing the identifying and characterizing information of the epochs in a digital memory. The method further comprises organizing the epochs according to an organization function that considers at least characterization information of the epochs, selecting an epoch based on the organizing of the epochs, and generating sound derived from the stored digital data associated with the selected epoch such that the patient hears the sound. In a specific embodiment, the physiological information monitored may include sound, e.g. respiratory sound emanating from the trachea, and/or tooth-grinding sounds. 1. A system for communicating information about a patient's sleep , the system comprising:a memory for storing in digital format sound information spontaneously emitted from a patient during a period of time associated with a sleep period of the patient;means for dividing a portion of the period of time associated with the sleep period into a plurality of epochs, each of the plurality of epochs having an attribute, the attribute being the same for each of the plurality of epochs;means for determining a value of the attribute for each of the plurality of epochs;means for selecting an epoch in which the value of the attribute satisfies a specified criterion;means for retrieving from the memory the sound information associated with the selected epoch;means for converting the retrieved sound information into an analog form,means for outputting the analog form of the retrieved sound information to a listener.2. The system of wherein the means for selecting an epoch ...

DEVICES AND METHODS FOR MONITORING PHYSIOLOGICAL INFORMATION RELATING TO SLEEP WITH AN IMPLANTABLE DEVICE

Described here are implantable devices and methods for monitoring physiological information relating to sleep. The implantable devices are generally designed to include at least one sensor for sensing physiological information, a processor for processing the physiological information using low computational power to detect a sleep stage, and a battery. The detected sleep stage information may then be used to indicate sleep quality, identify or monitor a medical condition, or guide treatment thereof. 1. An active implantable medical device for monitoring physiological information relating to sleep comprising:at least one sensor configured to sense physiological information; and 'configured to detect a plurality of half waves in the sensed physiological information;', 'a processor coupled to the at least one sensor and configured to process the physiological information to detect at least one sleep state or stage, the processor configured to sort each detected half wave into one of a plurality of bins in a histogram based on whether each half wave amplitude falls between a predetermined minimum amplitude and a predetermined maximum amplitude and whether each half wave duration falls between a predetermined minimum duration and a predetermined maximum duration;', 'configured to associate at least some of the histogram bins with a unique frequency band;', 'configured with a histogram counter to keep track of a time interval over which the detected half waves are sorted; and', 'configured to determine whether the sensed physiological information is representative of a sleep state based on the density of detected half wave in the one or more unique frequency band histogram bins., 'wherein each detected half wave is characterized by a half wave amplitude and a half wave duration;'}2. The active implantable medical device of wherein the unique frequency bands include a delta frequency band claim 1 , a theta frequency band claim 1 , and an alpha frequency band.34. The active ...

SYSTEM FOR THE ASSESSMENT OF SLEEP QUALITY IN ADULTS AND CHILDREN

Systems and methods for assessment of sleep quality in adults and children are provided. These techniques include an apparatus worn above the forehead containing the circuitry for collecting and storing physiological signals. The apparatus integrates with a sensor strip and a nasal mask to obtain the physiological signals for the user. The form factor of this apparatus is comfortable, easy to self-apply, and results in less data artifacts than conventional techniques for capturing physiological data for analyzing sleep quality. Neuro-respiratory signals are analyzed using means to extract more accurate definitions of the frequency and severity of sleep discontinuity, sleep disordered breathing and patterns of sleep architecture. Biological biomarkers and questionnaire responses can also be compared to a database of healthy and chronically diseased patients to provide a more accurate differential diagnosis and to help determine the appropriate disease management recommendations. 1. (canceled)2. A system for assessing sleep quality of a user , the system comprising:a sensor strip comprising at least one sensor and a tab, wherein the tab comprises traces that are electrically coupled to the at least one sensor; and wherein the connector is configured to be detachably coupled to the tab of the sensor strip such that the traces of the tab are electrically coupled to the data acquisition unit via the connector, and', 'wherein the controller receives signal data from the at least one sensor, and characterizes an etiology of a sleep quality for a user based on the received signal data., 'a data acquisition unit comprising at least one controller and a connector,'}3. The system of claim 2 , wherein characterizing an etiology of a sleep quality comprises attributing insomnia to either a physical or psychological cause.4. The system of claim 2 , wherein characterizing an etiology of a sleep quality comprises determining a likelihood of the user having or developing depression. ...

STOCHASTIC RESONANCE AND BROWNIAN MOTION FOR THE REDUCTION OF SUDDEN INFANT DEATH SYNDROME (SIDS)

Inventive embodiments include a system for preventing Sudden Infant Death Syndrome (SIDS) in an infant, by the application of Stochastic Resonance neurological stimuli. The system includes a crib mattress and copper noise grids, wherein the copper noise grids are embedded in the crib mattress. The system also includes a mechanism for generating time controlled white noise and time controlled cyclic signals, combined with a multitude of varying frequencies and harmonics, wherein the mechanism is adjustable for measured local (near crib) white noise power density levels, the mechanism further adjustable for diurnal and seasonal white noise power density level changes. The system also includes circuitry effective for producing positive and negative adjustable DC voltage levels. 1. A system for preventing Sudden Infant Death Syndrome (SIDS) in an infant , by the application of Stochastic Resonance neurological stimuli , the system comprising:a crib mattress and copper noise grids, wherein the copper noise grids are embedded in the crib mattress;a mechanism for generating time controlled white noise and time controlled cyclic signals, combined with a multitude of varying frequencies and harmonics, wherein the mechanism is adjustable for measured local (near crib) white noise power density levels, the mechanism further adjustable for diurnal and seasonal white noise power density level changes; andcircuitry effective for producing positive and negative adjustable DC voltage levels that are time correlated with epochs of infant sleep states and sleep cycles; an application of Brownian Motion Neurological Stimuli, the circuitry having DC voltage levels adjustable as a function of the levels of the infant's measured levels of biogenic ferromagnetic nanoparticles and crystals and adjustable as a function of infant delivery term, infant's Date Of Birth, SIDS probability time line, SIDS Risk Kurtosis Scale and SIDS Survival Matrix2. A system for preventing Sudden Infant Death ...

Activity Monitoring Systems and Methods of Operating Same

The present inventions, in one aspect, is an activity monitoring system comprising a fixture having size/shape adapted to couple to a location on the user's body and a particular signature; and a portable monitoring device adapted to detect the fixture's particular signature. The monitoring device includes a housing that is adapted to engage the fixture; an activity sensor, disposed in the housing, to detect activity of the user and to generate data which is representative of the activity of the user; and processing circuitry, disposed in the housing, to calculate an activity-related quantity of the user, wherein the processing circuitry determines the monitoring device is engaging the fixture by detecting the fixture's particular signature and calculates the activity-related quantity. 1. An activity monitoring system comprising:a plurality of fixtures, wherein each fixture includes a physical size and shape that is adapted to couple to an associated location on the body of the user; a housing to separately and physically engage each fixture;', 'an activity sensor, disposed in the housing, to detect activity of the user and, in response thereto, to generate data which is representative of the activity of the user; and', automatically determines a particular fixture of the plurality of fixtures is physically engaging the portable monitoring device, and', 'calculates at least one activity-related quantity of the user which is associated with the particular fixture., 'processing circuitry, disposed in the housing and coupled to the activity sensor, to calculate one or more activity-related quantities of the user using the data which is representative of the activity of the user, wherein the processing circuitry], 'a portable monitoring device adapted to separately and physically engage each fixture of the plurality of fixtures, the portable monitoring device including2. The activity monitoring system of wherein:at least one fixture of the plurality of fixtures includes ...

BLOOD PRESSURE MEASUREMENT APPARATUS AND BLOOD PRESSURE MEASUREMENT METHOD

A blood pressure measurement apparatus includes a blood pressure measurement unit, a bio-information acquisition unit, a depth calculation unit, a storage unit and a decision unit. The bio-information acquisition unit continuously acquires bio-information of a subject. The depth calculation unit repeatedly calculates depth indices each indicating a sleep stage of the subject on the basis of the acquired bio-information. The storage unit stores the calculated depth indices. The decision unit decides whether the sleep stage of the subject in sleep satisfies a starting condition, on the basis of a first depth index stored in the storage unit and a second depth index calculated by the depth calculation unit. The blood pressure measurement unit measures blood pressure data of the subject when the sleep stage is decided to satisfy the starting condition. 1. A blood pressure measurement apparatus , comprising:a blood pressure measurement unit that measures blood pressure of a subject;a bio-information acquisition unit that continuously acquires bio-information of the subject;a depth calculation unit that repeatedly calculates a depth index indicating a sleep stage of the subject on the basis of the acquired bio-information;a storage unit in which the calculated depth index is stored; anda decision unit that decides whether the sleep stage of the subject in sleep satisfies a predetermined condition, on the basis of a first depth index stored in the storage unit and a second depth index calculated by the depth calculation unit,wherein the blood pressure measurement unit measures the blood pressure when the decision unit decides that the sleep stage satisfies the condition.2. The blood pressure measurement apparatus according to claim 1 ,wherein the first depth index is the depth index indicating a deepest sleep stage among a plurality of depth indices each calculated on the basis of the bio-information acquired at a different time point.3. The blood pressure measurement ...

SLEEP DEPTH DETERMINING APPARATUS AND METHOD

There is provided an apparatus for determining depth of sleep. The apparatus includes a heart rate sensor configured to detect a heart rate of a subject in a non-contact manner, and a processor. The processor performs determining depth of sleep of the subject from the heart rate detected by the heart rate sensor, estimating a sleep cycle of the subject on the basis of a plurality of times at each of which a change in the depth of sleep occurs, and stopping the heart rate sensor, after completion of acquiring the plurality of times, at least until an anticipated time of a change in the depth of sleep. 1. An apparatus for determining depth of sleep , comprising:a heart rate sensor configured to detect a heart rate of a subject in a non-contact manner; anda processor,wherein the processor performs,determining depth of sleep of the subject from the heart rate detected by the heart rate sensor,estimating a sleep cycle of the subject on the basis of a plurality of times at each of which a change in the depth of sleep occurs, andstopping the heart rate sensor, after completion of acquiring the plurality of times, at least until an anticipated time of a change in the depth of sleep.2. The apparatus according to claim 1 , further comprising a temperature sensor claim 1 , wherein the processor performs detecting the change in depth of sleep of the subject on the basis of a change in temperature of the subject detected by the temperature sensor at the anticipated time of the change in depth of sleep after estimating the sleep cycle.3. The apparatus according to claim 2 , wherein claim 2 , after detecting the change in depth of the subject claim 2 , the processor turns off the temperature sensor until the anticipated time of the next change in depth of sleep is reached.4. The apparatus according to claim 2 , wherein claim 2 , in the estimating of the sleep cycle claim 2 , the processor performs correction of a result of determining the depth of sleep from the heart rate claim 2 ...

VESSEL PULSE WAVE MEASUREMENT SYSTEM CONDUCTING VESSEL PULSE WAVE MEASUREMENT BY OBTAINING PULSATION WAVEFORM OF BLOOD VESSEL

A vessel pulse wave measurement system performs vessel pulse wave measurement using an optical probe circuit provided with an optical probe including a light emitting element and a light receiving element, a drive circuit, and a detection circuit. A measurement device directly and synchronously feeds back an electrical signal from the optical probe to the drive circuit as a drive signal to generate a self-oscillation signal from the detection circuit, and measures the self-oscillation signal as a vessel pulse wave signal. A controller controls an operating point of at least one of the detection circuit and the drive circuit such that the self-oscillation signal substantially reaches a maximum level thereof. 1. A vessel pulse wave measurement system that performs vessel pulse wave measurement using an optical probe circuit , the optical probe circuit comprising:an optical probe configured to include a light emitting element that radiates light to a blood vessel through a skin, and a light receiving element that receives, through the skin, reflected light from the blood vessel or transmitted light through the blood vessel;a drive circuit that drives the light emitting element based on an inputted drive signal; anda detection circuit that converts the light received by the light receiving element into an electrical signal and outputs the electrical signal,wherein the vessel pulse wave measurement system comprising:a measurement device configured to directly and synchronously feed back the electrical signal to the drive circuit as the drive signal, generate a self-oscillation signal from the detection circuit, and measure the self-oscillation signal as a vessel pulse wave signal; anda controller configured to control an operating point of at least one of the detection circuit and the drive circuit such that the self-oscillation signal substantially reaches a maximum level thereof,wherein the drive circuit in the optical probe circuit includes first elements having first ...

Methods and Systems for Processing Social Interactive Data and Sharing of Tracked Activity Associated with Locations

A method includes determining a location of a first monitoring device used while performing an activity. The first monitoring device is worn by a first user. The method includes determining a location of a second monitoring device used while performing an activity. The second monitoring device is worn by a second user. The method further includes determining whether the locations of the first and second monitoring devices are within a range and whether the activities are similar. The method includes sending a prompt to the first monitoring device upon determining that the activities are similar and the locations are within the range. The prompt includes a request for permission from a first user account to allow a second user account to access information from the first user account regarding the activity performed using the first monitoring device.

SLEEP DISTURBANCE MONITORING APPARATUS

The invention relates to a sleep disturbance monitoring apparatus () for monitoring a sleep disturbance of a person. An ambience disturbance profile, which describes which levels and/or changes of an ambient signal, which is, for example, a temperature signal or a noise signal, are related to disturbed sleep, is amended depending on a correlation between the ambience signal and a sleep signal which is indicative of the quality of the sleep of the person. After the ambience disturbance profile has been amended, an environmental disturbance factor, which disturbs the sleep, is determined based on a comparison of an actual ambient signal with the amended ambience disturbance profile, wherein information regarding the determined environmental disturbance factor is output to the person on an output unit. This allows providing personalized information regarding environmental sleep disturbance factors, i.e. the information considers the individual susceptibility of a person for environmental disturbances during sleep. 1. A sleep disturbance monitoring apparatus for monitoring a sleep disturbance of a person , the sleep disturbance monitoring apparatus comprising:an ambient sensor for generating an ambient signal, the ambient signal being indicative of a property of the environment of the person,an ambience disturbance profile providing unit for providing an ambience disturbance profile, the ambience disturbance profile describing which levels and/or changes of an ambient signal are related to disturbed sleep,a sleep sensor for generating a sleep signal over time, while the person is sleeping, the sleep signal being indicative of the quality of the sleep of the person over time,a correlation unit for correlating the ambient signal and the sleep signal,an ambience disturbance profile amending unit for amending the ambience disturbance profile depending on the correlation,an environmental disturbance determination unit for determining an environmental disturbance factor, ...

DEVICES AND METHODS FOR MONITORING PHYSIOLOGICAL INFORMATION RELATING TO SLEEP WITH AN IMPLANTABLE DEVICE

Described here are implantable devices and methods for monitoring physiological information relating to sleep. The implantable devices are generally designed to include at least one sensor for sensing physiological information, a processor for processing the physiological information using low computational power to detect a sleep stage, and a battery. The detected sleep stage information may then be used to indicate sleep quality, identify or monitor a medical condition, or guide treatment thereof. 1. A method of detecting a sleep state or sleep stage with an active implantable medical device , said method comprising:determining first and second parameters of each of a plurality of half waves resulting from sensed physiological information;for each of the plurality of half waves, determining that the half wave is a qualified half wave when the first parameter of the half wave satisfies a first criterion and the second parameter of the same half wave satisfies a second criterion;counting a number of qualified half waves that occur during a time window; anddetecting a particular sleep state or stage when a measure derived from the number satisfies a third criterion indicative of the particular sleep state or stage.2. The method of claim 1 , wherein:the first parameter is a half-wave amplitude;the first criterion is defined by a minimum amplitude and a maximum amplitude; andthe first criterion is satisfied when a half-wave amplitude is between the minimum amplitude and the maximum amplitude.3. The method of claim 1 , wherein:the second parameter is a half-wave duration;the second criterion is defined by a minimum duration and a maximum duration; andthe second criterion is satisfied when a half-wave duration is between the minimum duration and the maximum duration.4. The method of claim 1 , wherein:the measure derived from the number is an unsigned integer;the third criterion is a threshold; andthe particular sleep state or stage is detected when the unsigned integer ...

DYNAMIC SCALE AND ACCURATE FOOD MEASURING

A Health Management System that can assist a user in measuring and regulating his or her dietary intake and optionally his or her physical activity is disclosed. 1. An electronic device for managing a user's health , the device comprising:an enclosure comprising one or more electrical circuits including:one or more sensors configured to detect health related activity of the user;a data link unit configured to communicate with other devices, including at least one extension having a defined interface to receive additional sensory information related to user health;a power source configured to provide power to the one or more electrical circuits;a control panel configured to receive input from the user;a user interface configured to display output to the user;a processor unit configured to execute instructions for analyzing sensory input received from the one or more sensors to take health-related actions; anda memory configured to store data and instructions accessible by the processor unit.2. The device of wherein one of the sensors and the instructions executed by the processor unit are further configured to detect the characteristics of the user.3. The device of wherein one of the sensors is further configured to detect a load and the characteristics of the device's load before claim 1 , during or after being loaded.4. The device of wherein at least one of the sensors is an optical device.5. The device of wherein one or all of the electrical circuits are implanted in a human body part.6. The device of wherein one of the sensors is further configured to detect the tare or the weight of a load even while the device is in motion.7. The device of wherein one of the sensors is further configured to locate the device geographical position.8. The device of wherein one of the sensors is further configured to detect the user's sleep cycles.9. The device of wherein one of the sensors is further configured to detect humidity levels.10. The device of wherein one of the ...

SYSTEM AND METHOD FOR DETECTING NEUROLOGICAL DETERIORATION

A system for detecting a neurological deterioration in a patient, the system constituted of: an analyzing module; and at least one input port arranged to receive a plurality of first samples of electroencephalographic (EEG) activity of the patient and a plurality of second samples of EEG activity of the patient and further arranged to output the received samples to the analyzing module, wherein the analyzing module is arranged to: compare a function of the received first EEG samples to a function of the received second EEG samples; determine the difference between the outcome of the comparison and a baseline value; and output a neurological deterioration signal responsive to the determined difference. 1. A system for detecting a neurological deterioration in a patient , the system comprising:an analyzing module; andat least one of input port arranged to receive a plurality of first samples of electroencephalographic (EEG) activity of the patient and a plurality of second samples of EEG activity of the patient and further arranged to output said received samples to said analyzing module,wherein said analyzing module is arranged to:compare a function of said received first EEG samples to a function of said received second EEG samples;determine the difference between the outcome of said comparison and a baseline value; andoutput a neurological deterioration signal responsive to said determined difference.2. The system of claim 1 , wherein said received at least one first EEG sample is associated with a first cerebral hemisphere of the patient and said second plurality of received EEG samples are associated with a second cerebral hemisphere of the patient opposing the first cerebral hemisphere.3. The system of claim 1 , wherein said comparison comprises determining the correlation between the function of said first plurality of received EEG samples and the function of said second plurality of received EEG samples.4. The system of claim 1 , wherein said at least one ...

Methods and Systems for Geo-Location Optimized Tracking and Updating for Events Having Combined Activity and Location Information

A method includes obtaining a first geo-location and a second geo-location. The first and second geo-locations are associated with a monitoring device. The monitoring device is configured to be used by a user. The first geo-location is determined at a first time and the second geo-location is determined at a second time. The first time and the second time are associated with a rate of obtaining geo-location data. The method includes calculating a difference in distance between the second and first geo-locations and changing the rate of obtaining a third geo-location associated with the monitoring device based on the difference in distance between the second and first geo-locations.

Apparatus for physiological and environmental monitoring with optical and footstep sensors

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

SYSTEM AND METHOD FOR DETERMINING SLEEP STAGE

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress). 1. A method for classifying sleep stages of a subject , the method comprising:detecting one or more signals related to bodily movement and respiration movements of the subject; andanalyzing at least a portion of the detected signals to calculate the variability of the respiration rate and/or respiration amplitude; andcombining the respiration variability with the bodily movement detection to determine sleep stage.2. The method as claimed in claim 1 , wherein the analysis determines respiration rate and respiration amplitude.3. The method of claim 1 , wherein the method includes analysing the entire detected signal to classify the sleep stages of the subject.4. The method of claim 1 , wherein the detection of the one or more signals is performed in a non-contact manner.5. The method of claim 1 , the method comprising the detection of the presence or absence of a person.6. The method of claim 1 , wherein the analysis comprises a simplified sleep staging calculation in which the outputs are sleep or awake only.7. The method of claim 1 , wherein detected signals are processed to estimate a respiratory rate ...

SYSTEM AND METHOD FOR DETERMINING SLEEP AND SLEEP STAGES OF A PERSON

The present invention relates to a system and method for determining sleep, sleep stage and/or sleep stage transition of a person, including heart rate detecting means configured for detecting a heart rate of the person, movement detecting means configured for detecting a movement of a part of the body of the person, where the detected movement is caused by a skeletal muscle of the body, recording means configured for recording the detected heart rate and the detected movement of the part of the body, heart rate classifying means configured for classifying the recorded heart rate of the person into at least one heart rate class at least one heart rate variability class, movement classifying means configured for classifying the recorded movement into at least one movement class, and determining means configured for determining sleep, a sleep stage, a sleep stage transition and/or a sleep event of the person based at least partially on the at least one heart rate class and the at least one movement class. 1. A system for determining sleep , a sleep stage and/or a sleep stage transition of a person , the system comprising:{'b': '110', 'heart rate detecting means () configured for detecting a heart rate of the person;'}{'b': '120', 'movement detecting means () configured for detecting a movement of a part of the body of the person, wherein the movement is caused by a skeletal muscle of the body;'}{'b': '170', 'recording means () configured for recording the detected heart rate and the detected movement of the part of the body;'}{'b': '310', 'heart rate classifying means () configured for classifying the recorded heart rate of the person into at least one heart rate class and at least one heart rate variability class;'}{'b': '320', 'movement classifying means () configured for classifying the recorded movement into at least one movement class; and'}{'b': '400', 'determining means () configured for determining sleep, a sleep stage, a sleep stage transition and/or a sleep ...

Apparatus, systems and methods for monitoring and evaluating cardiopulmonary functioning

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

METHOD TO INCREASE AHI ESTIMATION ACCURACY IN HOME SLEEP TESTS

A method of determining sleep statistics for a subject includes the steps of: collecting cardio-respiratory information of the subject; extracting features from the cardio-respiratory information; determining sleep stages of the subject by using at least some of the extracted features; determining an estimated total sleep time of the subject based on the determined sleep stages; and determining sleep statistics of the subject using the estimated total sleep time. 1. A method of determining sleep statistics for a subject , the method comprising:collecting cardio-respiratory information of the subject;extracting features from the cardio-respiratory information;determining sleep stages of the subject by using at least some of the extracted features;determining an estimated total sleep time of the subject based on the determined sleep stages; anddetermining sleep statistics of the subject using the estimated total sleep time.2. The method of claim 1 , wherein determining an estimated total sleep time of the subject based on the determined sleep stages comprises:determining a duration of each sleep stage; andsumming the durations of the sleep stages.3. The method of claim 1 , wherein collecting cardio-respiratory information of the subject comprises collecting cardio-respiratory information via a home sleep testing device.4. The method of claim 1 , wherein said extracting features from the cardio-respiratory information comprises extracting at least one of: heart rate variability features claim 1 , respiratory variability features claim 1 , or body movements.5. The method of claim 1 , wherein said collecting cardio-respiratory information of the subject comprises collecting heart rate information using a SpO2 sensor.6. The method of claim 1 , wherein said collecting cardio-respiratory information of the subject comprises collecting respiratory effort using a thoracic belt.7. The method of claim 1 , wherein said collecting cardio-respiratory information of the subject ...

WEARABLE MONITORING DEVICES WITH PASSIVE AND ACTIVE FILTERING

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material. 1. An ear-worn device , comprising:a housing comprising at least one window;an electronic module supported by the housing, the electronic module comprising at least one photoplethysmography (PPG) sensor, at least one motion sensor, and at least one signal processor configured to process signals from the at least one motion sensor and signals from the at least one PPG sensor, wherein the at least one signal processor is configured to remove frequency bands from the signals from the at least one PPG sensor that are outside of a range of interest using at least one band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the signals from the at least one motion sensor to reduce motion artifacts from footsteps during subject running; andnon-air light transmissive material in optical communication with the at least one PPG sensor and the window that serves as a light guide for the at least one PPG sensor, wherein the at least one ...

Valence State Memory Association

Valence states comprise physical states associated with emotional reaction to one or more events. Users may want to alter their reaction during such valence states (improve performance, reduce stress or anxiety, etc.). Physiological responses of a user wearing a valence state monitor may be recorded during waking life. When a physiological response associated with a valence state is determined, the valence state monitor may produce one or more cues comprising sounds, lights, haptic feedback, and/or electric shock, etc. During sleep, physiological responses of the may be used to determine the user is entering a dream phase (REM or N2) and, during such periods the cue and/or additional cues may be administered such that the user's memory is triggered to prime an associative thought of the valence experience while dreaming. By priming an associative thought during sleep, the user may better work through and adapt to various valence experiences while awake. 1. A valence monitoring device comprising:one or more sensors;one or more processors; andone or more non-transitory computer readable media having instructions stored thereon which, when executed by the one or more processors cause the one or more processors to perform operations comprising:receiving, from the one or more sensors at a first time, first sensor data;determining that a user wearing the valence monitoring device is in a valence state, the valence state indicative of the user having a heightened emotional response to an event;causing, based at least in part on the user being in the valence state, one or more transducers to produce a first cue;receiving, from the one or more sensors at a second time, second sensor data;determining, based at least in part on the second sensor data, that the user is in one or more of a REM phase or an N2 phase of sleep;causing, based at least in part on determining that the user is in one or more of the REM phase or N2 phase, the one or more transducers to produce the first ...

Baby sleep monitor

A sleep monitor for monitoring baby sleep uses sleep state classification based on heartbeat feature respiration features. The sleep monitor automatically retrains the classification during use of the sleep monitor. Training examples for use in this training process are generated automatically by detecting time instants whereat the baby in the bed is in a wake state, based on signals from the at least one of a sound feature detector a movement feature detector ( 112 ) and an open eye detector ( 114 ). The retraining may comprise using time sequence from the end of detection of wake states to assign a class to heartbeat feature and/or respiration feature values during that time sequence for the training process. In an embodiment, the retraining comprises clustering detected heartbeat feature and/or respiration feature values detected outside the detected wake states.

MIGRAINE HEADACHE TRIGGER DETECTION PROCESSING

Techniques and device configurations used in the detection of migraine triggers or similar human pain conditions are disclosed. In an example, a migraine trigger detection device collects data on ambient stimuli for a human subject, through various light, sound, or odor sensors. A computing device connected to the migraine trigger detection device receives and processes the data to correlate the detected stimuli with migraine symptoms of the human subject. Such correlation may be based on real-time data, data from a prior phase of the migraine, or data from other migraine episodes (e.g., to identify common triggers of migraines over time). Additionally, such correlation may be performed with use of a remote data processing system that receives the sensor data (or aggregated forms of data). In further examples, trigger reports, pain condition, time inputs, or migraine phase may be obtained through a graphical user interface of the computing device. 1. A computing device , comprising processing circuitry to:receive sensor data from a sensor device worn by a human subject, wherein the sensor data indicates respective conditions of a plurality of ambient stimuli occurring in proximity to the human subject;receive input from the human subject, wherein the input indicates a pain condition of the human subject;process the sensor data and the received input with a user-trained model to identify a trigger of the pain condition, wherein the trigger of the pain condition corresponds to a particular stimulus of the plurality of ambient stimuli; andgenerate output to the human subject, wherein the output indicates the trigger of the pain condition.2. The computing device of claim 1 ,wherein the pain condition of the human subject is a migraine headache,wherein the trigger of the pain condition relates to an environmental characteristic of the particular stimulus, andwherein the generated output includes an identification of the environmental characteristic of the particular ...

SYSTEM AND METHOD FOR DETERMINING TIMING OF SENSORY STIMULATION DELIVERED TO A SUBJECT DURING A SLEEP SESSION

The present disclosure pertains to a system configured to detect transitions in sleep state of a subject during a sleep session; provide sensory stimulation to the subject with a timing based on the detected transitions in sleep state; subsequent to the sleep session, obtain reference indications of transitions in sleep state; compare the detected transitions in sleep state to the reference indications of transitions in sleep state during the sleep session; based on the comparison, adjust baseline sleep state criteria to enhance correlation between detected transitions in sleep state during the sleep session using the baseline sleep state criteria and the reference indications of transitions in sleep state during the sleep session; and subsequent to adjustment of the baseline sleep state criteria, utilize the adjusted baseline sleep state criteria to detect transitions in sleep state of the subject for the purpose of controlling the one or more sensory stimulators. 1. A system configured to determine timing of sensory stimulation delivered to a subject during a sleep session , the sensory stimulation configured to increase slow wave activity and minimize arousals in the subject during the sleep session , the system comprising:one or more sensory stimulators configured to provide sensory stimuli to the subject;one or more sensors configured to generate output signals conveying information related to brain activity of the subject; and detect transitions in sleep state of the subject during the sleep session based on the output signals and baseline sleep state criteria;', 'control the one or more sensory stimulators to provide sensory stimulation to the subject with a timing based on the detected transitions in sleep state;', 'subsequent to the sleep session, obtain reference indications of transitions in sleep state, the reference indications of transitions in sleep state being generated based on analysis of the output signals generated during the sleep session;', ' ...

SYSTEM AND METHOD FOR INCREASING ADHERENCE TO A PRESSURE SUPPORT THERAPY

A method for increasing adherence of a patient to a therapy provided by a pressure support device includes: collecting data regarding a number of attributes of the patient along with time information thereof; determining the occurrence of a sleep-related event from the data; determining a condition of the pressure support device; and providing an indication to the patient responsive to determining the occurrence and determining the condition. 1. A method for increasing adherence of a patient to a therapy provided by a pressure support device , the method comprising:collecting data regarding a number of attributes of the patient along with time information thereof;determining the occurrence of a sleep-related event from the data;determining a condition of the pressure support device; andproviding an indication to the patient responsive to determining the occurrence and determining the condition.2. The method of claim 1 , wherein collecting data regarding a number of attributes of the patient comprises collecting data regarding one or more of: actigraphy claim 1 , heart rate claim 1 , and/or oxygen saturation of the patient.3. The method of claim 1 , wherein determining the occurrence of a sleep event comprises determining one or more of: a pre-determined bed time for the patient will be occurring within a predetermined period of time; the patient is trailing toward sleep; the patient is sleeping; and/or the patient is experiencing a sleep disruption.4. The method of claim 1 , wherein determining a condition of the pressure support device comprises determining that the pressure support device is one of turned on and in use or not turned on.5. The method of claim 1 , wherein determining a condition of the pressure support device comprises determining that the pressure support device is one of: not within a predetermined proximity of the patient; within a predetermined proximity of the patient claim 1 , turned on and in use; or within a predetermined proximity of the ...

A system and method for treating various neurological disorders using synchronized nerve activation

A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

SYSTEMS AND METHODS FOR ANALYZING SLEEP DATA AND SLEEP PATTERN DATA

A sleep pattern analyzer (SPA) system for capturing and analyzing sleep data and sleep pattern data is provided. The SPA system is configured to receive sleep data associated with a user, the sleep data including a registered user identifier and at least one sleep time stamp, and store the sleep data in a sleep pattern database. The SPA system is also configured to receive transaction data for a transaction initiated by a consumer with a merchant. The SPA system is further configured to match the consumer identifier to the registered user identifier, generate a fraud notification message when the transaction time stamp overlaps with the at least one sleep time stamp, and transmit the fraud notification message to at least one of an issuer, the merchant, and the consumer associated with the consumer identifier. 121-. (canceled)22. A computer device for capturing sleep data for a user in real-time comprising at least one processor and a memory , the at least one processor configured to:in response to an enrollment of the user into a sleep tracking service executable by an electronic application installed on a user computing device associated with the user, enable secure electronic communications with the user computing device via the electronic application, wherein the electronic application is configured to, in response to detecting that the user of the user computing device is asleep, continuously collect the sleep data in real-time while the user is asleep;receive, in real-time from the user computing device via the electronic application, a first set of the sleep data associated with the user, the first set of the sleep data indicating that the user is asleep and including a registered user identifier associated with the user;store the first set of the sleep data in a database;continuously monitor, via the electronic application on the user computing device, for a second set of sleep data indicating that the user is no longer asleep;receive, in real-time, ...

METHODS AND APPARATUS FOR DETECTION OF DISORDERED BREATHING

Methods and apparatus provide monitoring of a sleep disordered breathing state of a person such as for screening. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) () may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of sleep disordered breathing. The processor may generate a sleep disordered breathing indicator based on the measure(s) of sleep disordered breathing. Some versions may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type. 1. A method of one or more processors for monitoring a sleep disordered breathing state of a person , the method in the one or more processors comprising:extracting one or more respiratory signals from one or more motion signals, the one or more motion signals generated by active non-contact sensing;extracting one or more energy band signals from a passive signal, the passive signal generated by passive non-contact sensing, the passive signal representing acoustic information detected by a sound sensor;assessing the one or more energy band signals and/or the one or more respiratory signals to generate one or more intensity signals representing intensity of sleep disorder breathing modulation; andclassifying, or transmitting for classification, one or more features derived from the one or more intensity signals to generate one or more measures of sleep disordered breathing.2. The method of further comprising any one or more of:(a) ...

DISPLAY SYSTEM AND DISPLAY DEVICE

An example of a display system includes a sensor, a projector, and control means. The sensor senses user information for calculating a state regarding sleep of a user. The user information is, for example, biological information such as pulse. The projector projects and displays a predetermined image. The projector, for example, projects the image upward to project and display the image on the ceiling. The control means controls the projector in accordance with a state regarding sleep, which is calculated on the basis of the user information. 120-. (canceled)21. A display system , comprising:a sensor configured to sense user information for calculating a sleep state of a user; andcontrol circuitry configured to cause the display system to display an image related to the sleep state calculated on the basis of the user information, whereinif the display system judges, based on at least biological information calculated from the sensed user information, that the user is in a sleep state prior to awakening, the control circuitry causes the display system to automatically display an image for inducing awakening of the user when the display system judges that the user is in the sleep state prior to awakening, andif the display system judges, based on at least the calculated biological information, that the user is in a state of awakening, the control circuitry switches the image displayed so as to automatically display an evaluation result of sleep for the user when the display system judges that the user is in the state of awakening.22. The display system according to claim 21 , whereinthe control circuitry causes the display system to display the image related to the sleep state calculated on the basis of the user information, at a timing in accordance with the sleep state of the user, which is a timing specified on the basis of the user information.23. The display system according to claim 22 , whereinthe control circuitry causes the display system to display the image ...

SYSTEM FOR POLYPHASIC SLEEP MANAGEMENT, METHOD OF ITS OPERATION, DEVICE FOR SLEEP ANALYSIS, METHOD OF CURRENT SLEEP PHASE CLASSIFICATION AND USE OF THE SYSTEM AND THE DEVICE IN POLYPHASIC SLEEP MANAGEMENT

The object of the present invention is a system for polyphasic sleep management, characterized by the fact it comprises components such as electrodes for measuring a biological signal; a biological amplifier for amplifying the biological signal; a microcontroller for controlling individual system components, such as a biological amplifier and an accelerometer, as well as for communication with an external device; an accelerometer for collecting data relating to user's movement frequency; an external device, such as a computer, tablet and a mobile phone and a method of its operation. The invention also relates to a device for sleep analysis, a method of current sleep phase classification and use of the system and the device for polyphasic sleep management. 1. A system for polyphasic sleep management , characterized in that it comprises components such aselectrodes for measuring a biological signal;a biological amplifier for amplifying the biological signal;a microcontroller for controlling individual system components, such as a biological amplifier and an accelerometer, as well as for communication with an external device;an accelerometer for collecting data relating to user's movement frequency;an external device, such as a computer, tablet and a mobile phone.2. The system according to claim 1 , characterized in that it comprises at least 3 electrodes claim 1 , two frontal ones for measuring a biological signal claim 1 , connected to the input of the biological amplifier and a central one connected to the ground of the amplifier.3. The system according to claim 1 , characterized in that it additionally comprises two zygomatic electrodes and two temporal electrodes.4. The system according to claim 1 , characterized in that in the biological amplifier the signal is initially high-pass filtered by the input followers and amplified; afterwards it is band-stop filtered with an active filter of the ‘double-T’ type claim 1 , followed by low-pass filtering with a ...

BIOLOGICAL INFORMATION DETECTING DEVICE

A biological information detecting device includes a first light reception unit which receives light from a subject, a second light reception unit which receives light from the subject, at least one light emission unit which emits light to the subject, and a processing unit. When a distance between the light emission unit and the first light reception unit is L, and a distance between the light emission unit and the second light reception unit is L, L Подробнее

METHOD FOR DETERMINING A PERSON'S SLEEPING PHASE WHICH IS FAVOURABLE FOR WAKING UP

A pulse wave signal is registered and an occurrence of human limb movements detected during sleep using a pulse wave sensor and an accelerometer. The values of RR intervals and respiratory rate are measured at preset time intervals Δtbased on pulse wave signal. Mean P, minimal P, and maximal Pvalues of RR intervals, the standard deviation of RR intervals P, average respiratory rate Pand average number of limb movements Pare determined based on the above measured values. Function value F(Δt) is determined thereafter as: 2. The method of claim 1 , comprising selecting a time interval over which a value of parameter Pis measured in a range from 4 minutes to 6 minutes.3. The method of claim 1 , comprising selecting a time interval over which parameter value Pis measured in a range from 4 minutes to 6 minutes.4. The method of claim 1 , wherein the value of weight coefficient Kfor parameter P claim 1 , measured in ms claim 1 , is selected in the range from 0.6 msto 3 ms; the value of weight coefficient Kfor parameter P claim 1 , measured in ms claim 1 , is selected in the range of 0.1 msto 0.7 ms; the value of weight coefficient Kfor parameter P claim 1 , measured in ms claim 1 , is selected in the range of from 0.01 msto 0.3 ms; the value of weight coefficient Kfor parameter P claim 1 , measured in ms claim 1 , is selected in the range from 0.5 msto 3 ms; the value of weight coefficient Kfor parameter P claim 1 , measured in min claim 1 , is selected in the range from 1 min to 10 min; and the value of weight coefficient Kfor parameter Pis selected in the range from 5 to 50.5. The method of claim 4 , comprising selecting the value of the weight coefficient Kin a range from 0.9 msto 1.05 ms.6. The method of claim 4 , comprising selecting the value of the weight coefficient Kin a range from 0.1 msto 0.2 ms.7. The method of claim 4 , comprising selecting the value of the weight coefficient Kin a range from 0.02 msto 0.05 ms.8. The method of claim 4 , comprising selecting the ...

MOVEMENT MEASURE GENERATION IN A WEARABLE ELECTRONIC DEVICE

Aspects of generating movement measures that quantify motion data samples generated by a wearable electronic device are discussed herein. For example, in one aspect, an embodiment may obtain motion data samples generated by the set of motion sensors in a wearable electronic device. The wearable electronic device may then generate a first movement measure based on a quantification of the first set of motion data samples. The wearable electronic device may also generate a second movement measure based on a quantification of the second set of the motion data samples. The wearable electronic device may then cause the non-transitory machine readable storage medium to store the first movement measure and the second movement measure as time series data. 1. A wearable electronic device to be worn by a user , the wearable electronic device comprising:a set of one or more motion sensors to generate motion data samples that represent motion of the wearable electronic device, the motion data samples include a first set of one or more motion data samples generated during a first time interval and a second set of one or more motion data samples generated during a second time interval;a set of one or more processors coupled to the set of motion sensors; and obtain the motion data samples generated by the set of motion sensors,', 'generate a first movement measure based on a quantification of the first set of motion data samples,', 'generate a second movement measure based on a quantification of the second set of the motion data samples, and', 'cause the non-transitory machine readable storage medium to store the first movement measure and the second movement measure as time series data., 'a non-transitory machine readable storage medium coupled to the set of one or more processors and having stored therein instructions, which when executed by the set of one or more processors, cause the set of one or more processors to2. The wearable electronic device of claim 1 , wherein the ...

METHOD AND SYSTEM FOR PROVIDING FEEDBACK TO USER FOR IMPROVING PERFORMANCE LEVEL MANAGEMENT THEREOF

A method includes collecting a set of user information, determining a user current performance by: determining a sleep score or debt, measuring the user's previous physical activity, heart rate, or body temperature, calculating weights for the sleep score and the sleep debt, the measured previous physical activity, heart rate, or body temperature, calculating a weighted sum of the weighted sleep score, the weighted sleep debt, the weighted user's previous physical activity, weighted heart rate, or weighted body temperature, setting a user target level of performance, measuring a circadian rhythm and a user's duration of sleep or sleep cycle, comparing the circadian rhythm, the duration of sleep or sleep cycle, the current performance level, and current time zone information over days to determine a separate user performance level, comparing the target level of performance to the separate user performance level, and providing an alert and feedback user related to the comparison.

Adaptive Filtration of Sweat Artifacts During Electronic Brain Monitoring

A method and system of removing artifacts in electroencephalogram (EEG) signals is provided. Digital EEG data, based on a digitizing of analog EEG signals of a patient from a first electrode, is received. Digital sweat sensor data, based on a digitizing of analog sweat sensor signals of the patient that are contemporaneous with the analog EEG signals, is received. A transform is applied to the digital sweat sensor data based on a predetermined sweat stress profile of the patient. The digital EEG data is adaptively adjusted by subtracting the transformed sweat sensor data from the digital EEG data. 1. A computing device comprising:a processor;a network interface coupled to the processor to enable communication over a network;a storage device coupled to the processor;a software stored in the storage device, wherein an execution of the software by the processor configures the computing device to perform acts comprising:receiving digital EEG data based on a digitizing of analog electroencephalogram (EEG) signals of a patient from a first electrode;receiving digital sweat sensor data based on a digitizing of analog sweat sensor signals of the patient that are contemporaneous with the analog EEG signals;applying a transform to the digital sweat sensor data based on a predetermined sweat stress profile of the patient; andadaptively adjusting the digital EEG data by subtracting the transformed sweat sensor data from the digital EEG data;2. The computing device of claim 1 , wherein the adaptive adjustment of the digital EEG data is in real time with the receipt of the analog EEG and sweat sensor signals.3. The computing device of claim 1 , wherein the sweat sensor data comprises a sodium (NA+) measurement data claim 1 , a potassium (K+) measurement data claim 1 , and a chlorine (Cl−) measurement data.4. The computing device of claim 1 , wherein the analog sweat sensor signals are based on a galvanic skin response by measuring an electrical resistance between the first ...

APPARATUS AND METHOD FOR EARLY DETECTION, MONITORING AND TREATING SLEEP DISORDERS

Devices for monitoring one or more parameters of a subject, and related methods and systems, are disclosed. The device comprises a support element configured and arranged to detachably attach over a skin region of a chest area of a subject, an optical sensor assembly mounted to said support element and configured and arranged to conduct optical measurements in said chest area and generate optical measurement data indicative of said one or more parameters of said subject, a volumetric sensor assembly mounted to said support element and configured and operable to measure chest expansions and retractions of said subject and generate volumetric measurement data indicative of the expansions and retractions of the chest of said subject, and a control unit mounted to said support element and configured and operable to process said optical and volumetric measurement data for removing interferences introduced into said optical measurements due to said chest expansions and retractions. 1. A device for monitoring one or more parameters of a subject , the device comprising:a support element configured and arranged to detachably attach over a skin region of a chest area of a subject;an optical sensor assembly mounted to said support element and configured and arranged to conduct optical measurements in said chest area and generate optical measurement data indicative of said one or more parameters of said subject;a volumetric sensor assembly mounted to said support element and configured and operable to measure chest expansions and retractions of said subject and generate volumetric measurement data indicative of the expansions and retractions of the chest of said subject; anda control unit mounted to said support element and configured and operable to process said optical and volumetric measurement data for removing interferences introduced into said optical measurements due to said chest expansions and retractions.2. The device of comprising a displacement sensor assembly ...

System and Method for Assessing Sleep State

Assessing sleep state of an individual. A time series of accelerometer data is obtained from an accelerometer device mounted upon or to the individual. From the time series of accelerometer data a percentage of time in which the individual is substantially immobile (% TA) is determined. From the time series of accelerometer data a typical time of continuous immobility (MTI) is also determined. The % TA and MTI are combined such as by weighted sum, to produce a sleep score. If the sleep score exceeds a threshold, this is an indication that the individual is asleep. 1. A method of assessing sleep state of an individual , the method comprising:obtaining a time series of accelerometer data from an accelerometer device mounted upon or to the individual;determining from the time series of accelerometer data a percentage of time in which the individual is substantially immobile (% TA);determining from the time series of accelerometer data a typical time of continuous immobility (MTI);combining the % TA and MTI to produce a sleep score; andif the sleep score exceeds a threshold, outputting an indication that the individual is asleep.2. The method of when used in a non-clinical setting such as the individual's home.3. The method of applied to assess sleep state of Parkinsonian subjects.4. The method of applied to assess sleep state of non-Parkinsonian subjects.5. The method of wherein producing the sleep score further comprises summing or otherwise combining 2 or more of a set of sleep-related variables derived from the accelerometer data.6. The method of wherein the sleep related variables include a variable reflecting the individual's attempts at being active.7. The method of wherein the sleep related variables include a variable reflecting the individual's inactivity while awake.8. The method of wherein the sleep related variables include a variable reflecting the individual's immobility while asleep.9. The method of wherein the sleep related variables include a variable ...

METHOD AND DEVICE FOR DETECTING OSAHS

A method and a device for detecting OSAHS provided that the method comprises: acquiring a vibration signal of a subject during sleep, and determining a breathing signal of the subject (S), wherein the breathing signal comprises an inspiration signal generated upon inspiration and an expiration signal generated upon expiration; acquiring strength of a first vibration signal within a specified frequency range and superimposed on the inspiration signal, and strength of a second vibration signal within a specified frequency range and superimposed on the expiration signal adjacent to the inspiration signal (S); and comparing, according to a preset method, the strength of the first vibration signal with the strength of the second vibration signal, and determining, according to a comparison result, whether the subject is snoring (S). Since the detection is performed synchronously with breathing, the invention can prevent interference caused by coughing, speaking and other acoustic signals transmitted in the air, thereby significantly increasing accuracy in determining OSAHS. Moreover, the method and device of the invention can be realized by only making a minor modification to software in existing sleep sensors without incurring additional hardware costs. 1. A method for detecting OSAHS using a bedding , the method comprising at least one microprocessor , a micro signal sensor and a memory of the bedding executing the steps of:acquiring a vibration signal of a subject during sleep, and determining a breathing signal of the subject, wherein the breathing signal comprises an inspiration signal generated upon inspiration and an expiration signal generated upon expiration;acquiring strength of a first vibration signal within a specified frequency range and superimposed on the inspiration signal, and strength of a second vibration signal within a specified frequency range and superimposed on the expiration signal adjacent the inspiration signal;comparing the strength of the ...

Methods and apparatus for detecting motion noise and for removing motion noise from physiological signals

A monitoring apparatus includes a housing that is configured to be attached to a body of a subject. The housing includes a sensor region that is configured to contact a selected area of the body of the subject when the housing is attached to the body of the subject. The sensor region is contoured to matingly engage the selected body area. The apparatus includes at least one physiological sensor that is associated with the sensor region and that detects and/or measures physiological information from the subject and/or at least one environmental sensor associated with the sensor region that is configured to detect and/or measure environmental information. The sensor region contour stabilizes the physiological and/or environmental sensor(s) relative to the selected body area such that subject motion does not impact detection and/or measurement efforts of the sensor(s).

FRAGRANCE COMPOSITIONS AND USE THEREOF FOR IMPROVING SLEEP

Fragrance compositions comprising one or more fragrance compounds for use in increasing the duration of sleep and/or improving quality of sleep in a subject is disclosed. Fragrance compositions comprising one or more fragrance compounds for use in increasing the quality of sleep in a subject (i.e., an increase in the time the subject is asleep during the night, a decrease in the time the subject is awake during the night, an increase in the time the subject experiences REM sleep, an increase in the time the subject experiences deep sleep, an increase in the time the subject experiences light sleep; and an increase in overall sleep efficiency) is disclosed. The composition can be incorporated into various consumer end products. 2. A method of improving at least one sleep parameter of a subject , wherein the method comprises:providing a fragrance accord; andadministering the fragrance accord to the subject in an amount effective to improve the at least one sleep parameter,wherein the at least one sleep parameter is selected from the group consisting of total minutes awake, total minutes asleep, sleep efficiency, number of REM sleep minutes, number of light sleep minutes, and number of deep sleep minutes.3. The method of claim 2 , wherein the fragrance accord comprises cis-3-hexenyl salicylate claim 2 , at least one musk compound and at least one floral compound.4. The method of claim 3 , wherein the musk compound is selected from the group consisting of (3aR claim 3 ,5aS claim 3 ,9aS claim 3 ,9bR)-3a claim 3 ,6 claim 3 ,6 claim 3 ,9a-tetramethyl-2 claim 3 ,4 claim 3 ,5 claim 3 ,5a claim 3 ,7 claim 3 ,8 claim 3 ,9 claim 3 ,9b-octahydro-1H-benzo[e][1]benzofuran claim 3 , 5-cyclohexadecen-1-one claim 3 , L-muscone claim 3 , (12E)-1-oxacyclohexadec-12-en-2-one claim 3 , and 1 claim 3 ,4-dioxacycloheptadecane-5 claim 3 ,17-dione.5. The method of claim 3 , wherein the floral compound is selected from the group consisting of myrcenol claim 3 , ionone alpha claim 3 , linalool ...

SLEEP INTERVENTION EQUIPMENT, SYSTEM AND METHOD

A sleep intervention equipment, system and method are provided. The sleep intervention equipment includes a physical sign detection device, a first processor, and a sleep intervention device. The first processor is communicatively connected to the physical sign detection device and the sleep intervention device, respectively. The physical sign detection device is configured to detect a user's physical information without touching the user, and send the physical information to the first processor. The first processor is configured to determine a sleep stage and/or breath state of the user according to the physical information, and send a corresponding control instruction to the sleep intervention device according to the sleep stage and/or breath state of the user. The sleep intervention device is configured to perform a corresponding sleep intervention behavior in response to the control instruction. The sleep stage includes a waking state, an approaching waking state, or a sleep state. 1. A sleep intervention equipment , comprising a physical sign detection device , a first processor , and a sleep intervention device , the first processor being communicatively connected to the physical sign detection device and the sleep intervention device , respectively; whereinthe physical sign detection device is configured to detect a user's physical information without touching the user, and send the physical information to the first processor;the first processor is configured to determine a sleep stage and/or breath state of the user according to the physical information, and send a corresponding control instruction to the sleep intervention device according to the sleep stage and/or breath state of the user; andthe sleep intervention device is configured to perform a corresponding sleep intervention behavior in response to the control instruction;wherein the sleep stage comprises a waking state, an approaching waking state, or a sleep state.2. The sleep intervention ...

ELECTRONIC DEVICE FOR EVALUATING SLEEP QUALITY AND METHOD FOR OPERATION IN THE ELECTRONIC DEVICE

Various embodiments of the disclosure relate to an electronic device for evaluating the quality of sleep and a method for operating the same. According to an embodiment, an electronic device comprises: a sensor module including at least one sensor, a memory, and at least one processor. The at least one processor may be configured to: obtain, from an external electronic device, sleep-related information detected by the external electronic device while a user is sleeping, analyze a sleep state of the user based on the sleep-related information, identify at least one sleep cycle based on sleep state information obtained by analysis of the sleep state, evaluate a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information, obtain result information based on the evaluation of the sleep quality, and store the result information in the memory. 1. An electronic device , comprising:a memory; andat least one processor, wherein the at least one processor is configured to:obtain, from an external electronic device, sleep-related information detected by the external electronic device while a user is sleeping;analyze a sleep state of the user based on the sleep-related information;identify at least one sleep cycle based on sleep state information obtained by analysis of the sleep state;evaluate a sleep quality corresponding to a first sleep cycle among at least one sleep cycle based on the sleep state information and designated condition information;obtain result information based on the evaluation of the sleep quality; andstore the result information in the memory.2. The electronic device of claim 1 , further comprising a display claim 1 ,wherein the at least one processor is configured to control the display to display the result information based on the evaluation of the sleep quality.3. The electronic device of claim 1 ,wherein the first sleep cycle includes a sleep cycle first ...

ACTIVITY METER, ACTIVITY AMOUNT MEASUREMENT DEVICE, PORTABLE TERMINAL, INFORMATION SHARING ASSISTANCE DEVICE, INFORMATION SHARING SYSTEM, ACTIVITY ASSISTANCE DEVICE, AND ACTIVITY ASSISTANCE SYSTEM

An activity meter () includes (i) a sleep level judging section () for repeatedly detecting a sleep level of a user and (ii) a notifying section () for automatically notifying the user of specific information only during a period during which a most recent sleep level is less than a predetermined level. 1. An activity meter to be worn by a user , comprising:a judging section for repeatedly judging a sleep level of the user; anda notifying section for automatically notifying the user of specific information only during a period during which a most recent sleep level is less than a predetermined level.2. An activity meter as set forth in claim 1 , further comprising:a receiving section for receiving, from a telephone, incoming message information indicating that the telephone has received an incoming message,the notifying section notifying the user of the incoming message information as the specific information only during a period during which a most recent sleep level indicates that the user is not in a specific state, andthe specific state being an asleep state or a deep sleep state.3. The activity meter as set forth in claim 2 , whereinin a case where a most recent sleep level at a time point at which the receiving section received the incoming message information indicates that the user is in the specific state, the notifying section notifies the user of the incoming message information at a start of a period during which the most recent sleep level indicates that the user is not in the specific state.4. An activity meter as set forth in claim 2 , further comprising:a control section for controlling the telephone, 'only in a case where a most recent sleep level at a time point at which the incoming message information has been received indicates that the user is in the deep sleep state, the control section carrying out prevention control of the telephone so as to prevent the telephone from outputting the incoming message sound.', 'in a case where an incoming ...

System and Method to Monitor and Assist Individual's Sleep

A sleep assist system to monitor and assist the user's sleep, comprising: a bedside device adapted to be positioned near the user's bed, the bedside device optionally comprising a loudspeaker, a light source, a microphone, a light sensor, a temperature sensor, a control unit, an air quality sensor, a display unit, a user interface. The system further comprises a first sensing unit positioned in the user's bed comprising one or more sensors adapted to sense at least pressure and changes in pressure exerted by the user lying in the bed; an additional sensor device to be in contact with the user's body, and to be coupled to the bedside device; the system is configured to correlate the data obtained from both the first sensing unit and the additional sensor device.

System and method to monitor and assist individual's sleep

A sleep assist system to monitor and assist the user's sleep, comprising a bedside device positioned near the user's bed, the bedside device comprising a loudspeaker and a light source and optionally a microphone, a light sensor, a temperature sensor, a control unit, an air quality sensor, a display unit, a user interface. The sleep assist system further comprises a first sensing unit positioned in the user's bed and comprising one or more sensors adapted to sense at least pressure and/or changes in pressure exerted by the user lying in the bed. The system monitors the user's sleep, assesses the user's sleep cycles and the phase of sleep cycle, and provides the user with at least one light and sound program, the light and sound program being based on the assessment of the user's sleep cycles and the phase of sleep cycle.

ELECTRONIC APPARATUS CONTROL USING A BREATHING ASSISTANCE APPARATUS

A breathing gases supply apparatus can comprise a blower and breathing circuit for delivering breathing gases to a patient. The apparatus also can comprise a first controller , the controller configured to receive input from at least one sensor - indicative of patient breathing, and a transmitter configured to communicate with the controller and transmit control signals to an electronic apparatus . The controller can be configured to determine sleep in a patient based on the occurrence of a breathing pattern indicative of sleep, detected from the input received from the sensor - and upon determining sleep, operate the transmitter to send a control signal to control an electronic apparatus 1. (canceled)2. A breathing gases supply apparatus comprising: a blower, the blower comprising a fan driven by an electric motor;', 'a pressure sensor downstream to the fan; and', 'a flow sensor downstream or upstream to the fan, the pressure sensor and the flow sensor configured to measure a pressure and flow of gases breathed by or supplied to a user;, 'a positive airway pressure device, the device includinga controller configured to receive input indicative of patient breathing from one or both of the pressure sensor or the flow sensor; anda transmitter remote from the positive airway pressure device, the transmitter configured to communicate with the controller and transmit a control signal to an electronic apparatus that is different from the breathing gases supply apparatus, determine a sleep state in the user based on an occurrence of a breathing pattern indicative of sleep, detected from the input received from one or both of the pressure sensor or the flow sensor, and', 'upon determining the sleep state, operate the transmitter to send a control signal to control the electronic apparatus,, 'wherein the controller is configured towherein the breathing pattern indicative of sleep is a sleep disorder breathing (SDB) event, the SDB event comprising one or more of a flow ...

SYSTEM FOR PRESENTING DAILY LIFE SCHEDULE BASED ON CIRCADIAN RHYTHM OF EACH INDIVIDUAL

A system for presenting a daily life schedule based on circadian rhythm includes an information processing device which has a calculation unit for calculating a subjective midnight, the information processing device determines, on the basis of an answer to a question based on a sleep time zone, or measured data, whether the time-of-day data included in the answer includes time-of-day data to be excluded, the information processing device calculates a subjective midnight on the basis of the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded is not included, and the information processing device calculates a subjective midnight on the basis of the time-of-day data included in the answer or measured data in which the time-of-day data to be excluded has been excluded from the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded is included. 1. A system for presenting a daily life schedule based on circadian rhythm comprising:an information processing device having a subjective midnight calculation unit, the subjective midnight calculation unit calculating a subjective midnight;wherein the information processing device determines, on the basis of an answer to a question based on a sleep time zone, or measured data, whether time-of-day data included in the answer or the measured data includes time-of-day data to be excluded;the information processing device calculates a subjective midnight on the basis of the sleep time zone based on the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded is not included; andthe information processing device calculates a subjective midnight on the basis of the sleep time zone based on the time-of-day data included in the answer or measured data in which the time-of-day to be excluded has been excluded from the time-of-day data included in the answer or measured data, if the time-of-day data to be excluded ...

METHOD AND SYSTEM FOR MONITORING STRESS

Method and system for monitoring stress level of a subject. Beat-to-beat time variation and stroke volume variation of the heart a subject are obtained simultaneously, and a stress level indication is determined as a function of the beat-to-beat time variation and the relative stroke volume variation. More accurate and reliable estimates for stress level may be obtained. 1. A method for monitoring stress level of a subject , said method comprising:simultaneously obtaining beat-to-beat time variation and stroke volume variation of a heart of a subject; anddetermining a stress level indication as a function of the beat-to-beat time variation and the relative stroke volume variation.2. The method according to claim 1 , wherein the stress level indication is computed as a ratio of beat-to-beat time and stroke volume variations simultaneously obtained from the subject.3. The method according to claim 1 , wherein the beat-to-beat time variation and the relative stroke volume variation are determined from a sensor signal of one sensor.4. The method according to claim 1 , wherein the beat-to-beat time variation is determined from a sensor signal of one sensor and the relative stroke volume variation from a sensor signal of another sensor.5. The method according to claim 3 , wherein at least one of the beat-to-beat time variation and the relative stroke volume variation are obtained from a ballistocardiologic signal generated with an accelerometer or an angular rate sensor.6. The method according to claim 1 , wherein at least one of the beat-to-beat time variation and the relative stroke volume variation are obtained from a blood pressure wave signal generated with a pressure sensor.7. The method according to claim 1 , wherein the beat-to-beat time variation is calculated by low pass filtering absolute values of consecutive beat-to-beat time differences or the stroke volume variation is calculated by low pass filtering consecutive stroke volume value differences.8. The ...

SYSTEMS AND METHODS FOR DELIVERING SENSORY INPUT DURING A DREAM STATE

Embodiments of the invention provide apparatus, systems and methods for detecting neurological activity indicative of a dream state of a human. Many embodiments of the invention provide apparatus, systems and methods for detecting neurological activity of a human indicative of a dream state or the onset thereof and delivering an input to the user (such as an audio or other sensory input) during the dream state. Particular embodiments of the invention provide systems and methods for detecting neurological activity indicative of the onset or occurrence of a dream state of a human and delivering an audio or other sensory input during the user's dream state. The audio input may be used for learning, delivering messages to the user's subconscious, and/or promoting a state of relaxation. 1. (canceled)2. A system for delivering audio content to a user during a dream state , the system comprising:a headband configured to be worn on the head of the user and extend over at least the user's forehead,a plurality of electrodes positioned on an inside surface of the headband to make electrical contact with user's skin in a pattern configured to detect electrical signals of the user's brain or head indicative of the dream state, the headband being configured to bend and flex with movement of the user's head to maintain electrical contact between the electrodes and the user's skin during head movement;logic resources operably coupled to the plurality of electrodes, the logic resources being configured to analyze the electrical signals to determine when the dream state occurs;an audio storage device operably coupled to the logic resources; the audio storage device configured to store audio content to be delivered to the user; andan audio output device operably coupled to at least one of the logic resources or the audio storage device, the audio output device configured to output an audio signal to the user containing the audio content.3. The system of claim 2 , further comprising ...

Automatic change of power consumption of sensors responsive to user's state transition

Aspects of changing power consumption of a sensor of a wearable electronic device worn by a user are discussed herein. For example, in one aspect, based on detecting that a state of the user, as tracked by the wearable electronic device, has transitioned into an asleep state, an embodiment may decrease power consumption of at least one sensor from the set of sensors. Additionally, based on detecting that the state of the user, as tracked by the wearable electronic device, has transitioned out of the asleep state, the embodiment may reverse the decrease of power consumption of the at least one sensor.

Determining whether to change a time at which an alarm is to occur based at least in part on sleep data

In one aspect, a device includes a processor and a memory accessible to the processor. The memory bears instructions executable by the processor to receive data from a sleep sensor in communication with the device and, based at least in part on the data, determine whether to change a time at which an alarm is to occur at the device.

AUTOMATIC DETECTION OF USER'S PERIODS OF SLEEP AND SLEEP STAGE

Aspects of automatically detecting periods of sleep of a user of a wearable electronic device are discussed herein. For example, in one aspect, an embodiment may obtain a set of features for periods of time from motion data obtained from a set of one or more motion sensors in the wearable electronic device or data derived therefrom. The wearable electronic device may then classify the periods of time into one of a plurality of statuses of the user based on the set of features determined for the periods of time, where the statuses are indicative of relative degree of movement of the user. The wearable electronic device may also derive blocks of time each covering one or more of the periods of time during which the user is in one of a plurality of states, wherein the states include an awake state and an asleep state. 1. An apparatus for automatically detecting periods of sleep of a user of a wearable electronic device , the apparatus comprising:a set of one or more processors; and obtain a set of features for periods of time from motion data obtained from a set of one or more motion sensors in the wearable electronic device or data derived therefrom;', 'classify each of the periods of time into one of a plurality of statuses of the user based on the set of features determined for the periods of time, wherein the statuses are indicative of relative degrees of movement of the user, and', 'derive blocks of time, each covering one or more of the periods of time, during which the user is in one of a plurality of states, wherein the states include an awake state and an asleep state., 'a non-transitory machine readable storage medium coupled to the set of one or more processors and having stored therein instructions, which when executed by the set of one or more processors, cause the apparatus to2. The apparatus of claim 1 , wherein the classification is performed using a machine learning classifier.3. The apparatus of claim 1 , wherein the plurality of statuses further ...

PATIENT SUPPORT APPARATUS WITH PATIENT INFORMATION SENSORS

A person support apparatus includes sensors for monitoring aspects of a person positioned thereon. The outputs from the sensors are used to distinguish between new and prior occupants of the support apparatus, automatically zero an integrated scale system, distinguish between objects and humans on the support apparatus, determine if a person is sleeping or awake, monitor and characterize movement levels of the person, record a log of likely events regarding a support surface of the apparatus, propose identifications of objects added to or removed from the support surface, record force outputs, and/or other purposes. A person's sleep state may also be obtained and forwarded to a remote location. The sleep state data may be used to mute and/or control alerts or indicators, and/or to predict when a person is going to wake up and likely exit the support apparatus. 138-. (canceled)39. A patient support apparatus comprising:a frame;a support surface adapted to support a patient thereon;a vital sign sensor supported by the frame, the vital sign sensor adapted to detect at least one vital sign of the patient supported on the support surface; anda controller in communication with the vital sign sensor, the controller adapted to analyze data from the vital sign sensor to predict if the patient supported on the support surface is likely to exit from the patient support apparatus.40. The patient support apparatus of wherein the controller issues an alert when the controller predicts the patient is likely to exit from the patient support apparatus.41. The patient support apparatus of further including a siderail incorporated into the patient support apparatus claim 40 , the vital sign sensor being integrated into the siderail.42. The patient support apparatus of wherein the vital sign sensor emits a radio frequency signal toward the patient supported on the support surface and detects reflections from the patient's torso to determine at least one of a breathing rate of the ...

METHOD AND DEVICE FOR IDENTIFYING HUMAN MOVEMENT STATE

A method and device for identifying a human movement state that includes: determining according to acceleration signals that are collected by a three-axis acceleration sensor that a human is in a walking state, calculating a walking step number of the human, and calculating a walking step frequency according to the number; calculating a corresponding physical sign frequency during the walking process according to a physical sign signal that is collected; and comparing the walking step frequency and the physical sign frequency that are obtained by calculating respectively with a step frequency threshold and a physical sign frequency threshold, and if the walking step frequency is greater than the step frequency threshold, and the physical sign frequency is greater than the physical sign frequency threshold, determining that the human movement state is a running state, and recording the calculated walking step number to be a running step number. 1. A method for identifying a human movement state , wherein the method comprises:providing a three-axis acceleration sensor and a human physical sign sensor in a wearable device;determining according to acceleration signals that are collected by the three-axis acceleration sensor that a human body is in a walking state, calculating a walking step number of the human body, and calculating a walking step frequency according to the walking step number;calculating a corresponding physical sign frequency during the walking process according to a physical sign signal collected by the human physical sign sensor; andcomparing the walking step frequency and the physical sign frequency that are obtained by calculating respectively with a step frequency threshold and a physical sign frequency threshold, and if the walking step frequency is greater than the step frequency threshold, and the physical sign frequency is greater than the physical sign frequency threshold, determining that the human movement state is a running state, and ...

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

There is provided an information processing device including: a sleep environment controlling unit configured to, when exerting control of, on the basis of a result of forecast of a transition of a depth of sleep of a user at least in a period from a first time to a second time, a sleeping environment of the user such that the depth of sleep at the second time falls below a first depth-of-sleep threshold value estimated as an upper limit of a first depth-of-sleep region in which the user is likely to awake, decide a temporal pattern of the control in the period from the first time to the second time in accordance with a temporal pattern of the transition. 1. An information processing device comprising:a sleep environment controlling unit configured to, when exerting control of, on the basis of a result of forecast of a transition of a depth of sleep of a user at least in a period from a first time to a second time, a sleeping environment of the user such that the depth of sleep at the second time falls below a first depth-of-sleep threshold value estimated as an upper limit of a first depth-of-sleep region in which the user is likely to awake, decide a temporal pattern of the control in the period from the first time to the second time in accordance with a temporal pattern of the transition.2. The information processing device according to claim 1 , whereinthe temporal pattern of the transition includes a cyclical variation of the depth of sleep across a second depth-of-sleep threshold value estimated as a lower limit of a second depth-of-sleep region in which the user is unlikely to awake, andthe temporal pattern of the control includes exerting control of the sleeping environment in a distributed manner among a plurality of times at which the depth of sleep is forecast to exceed the second depth-of-sleep threshold value.3. The information processing device according to claim 2 , whereinthe temporal pattern of the control includes equally distributing the control ...

Awakening apparatus

An apparatus for alerting a sleeping subject, the apparatus has a wireless device that stores an application program configurable for control of the apparatus; and a pillow that is configured to be in signal communication with at least the wireless device. The pillow has a charge storage source for storing electrical energy; a control processor that is configured with a set of encoded instructions for maintaining communication between the wireless device and the pillow; and one or more actuators configured to receive a signal from the control processor and respond to provide an awakening stimulus to the sleeping subject.

BASAL BODY TEMPERATURE MEASURING SYSTEM AND BASAL BODY TEMPERATURE MEASURING DEVICE

There are provided an information recording unit for recording, in a storage medium , body temperature information to be measured by a temperature sensor for a sleeping period in association with movement information to be detected by a movement detecting sensor for the same sleeping period, and a basal body temperature specifying unit for analyzing the movement information recorded in the storage medium to detect a wake timing of a user and specifying, as a basal body temperature, body temperature information measured immediately before the wake timing, and a body temperature of the user can be measured in a resting state during sleeping and be thus recorded in the storage medium , and furthermore, the body temperature recorded immediately before waking can be specified as the basal body temperature. 1. A basal body temperature measuring system including a device for measuring a basal body temperature in attachment to a body of a user for a sleeping period , the system comprising:a temperature sensor for measuring a temperature of the body;a movement detecting sensor for detecting a movement of the body;an information recording unit for recording, in a storage medium, body temperature information to be measured by the temperature sensor in association with movement information to be detected by the movement detecting sensor; anda basal body temperature specifying unit for analyzing the movement information recorded in the storage medium to detect a wake timing of the user, and specifying, as the basal body temperature, body temperature information measured immediately before the wake timing.2. The basal body temperature measuring system according to claim 1 ,further comprising a second information recording unit for recording, in a storage medium, the basal body temperature specified by the basal body temperature specifying unit.3. A basal body temperature measuring device for measuring a basal body temperature in attachment to a body of a user for a sleeping ...

DETERMINING AND CONVEYING SLEEP FACTORS

A system is configured to collect information regarding a user's sleep and to graphically convey sleep factors based on the information to a user. The system can include a control circuit and a sensor that work together configured to generate a first sleep factor. The first sleep factor is associated with the user's sleep episode. A database is communicatively coupled to the control circuit and stores a graphical representation of the user and a second sleep factor, which is defined by the user. The control circuit uses the first and second sleep factors to determine a sleep episode score. Optionally, the control circuit effects conveying the determined sleep episode score to the user via the graphical representation of the user. 2. The system of claim 1 , wherein the graphical representation of the user is configured to comprises a plurality of unique graphical icons claim 1 , wherein the control circuit is further configured to effect conveyance individual ones of the unique graphical icons sequentially in a manner to animate the graphical representation of the user.3. The system of claim 2 , wherein individual ones of the plurality of unique graphical icons are respectively associated with individual sleep episode scores such that the control circuit is configured to effect conveyance of the sleep episode score via effecting display of one of the plurality of unique graphical icons respectively associated with the sleep episode score.4. The system of claim 1 , wherein the control circuit is further configured to generate claim 1 , using at least one of the first sleep factor and the second sleep factor claim 1 , a suggestion for improving the sleep episode score.5. The system of claim 1 , wherein the control circuit in communication with one or both of the database and the sensor is further configured to generate the first sleep factor at a predetermined time interval.6. The system of claim 1 , wherein the control circuit in communication with one or both of the ...

SYSTEMS AND METHODS FOR DIAGNOSING SLEEP

Systems and methods for sleep stage determination are disclosed. Example systems disclosed herein includes a complexity module operable to measure the complexity of regularities in an EEG channel, and a stager operable to output at least one corresponding sleep stage. Some example systems also include monitoring a subject, and determine the subject may have impairment, Alzheimer's disease, or anesthesia problem that is associated with sleep staging problem. 1. A system for analysing sleep in a subject , comprising:a plurality of electrodes configured to capture a plurality of physiological electrical signals, the plurality of physiological electrical signals comprising at least two electromyogram (EMG) signals and at least two electroencephalographic (EEG) signals from the subject, wherein a first EEG signal of the at least two EEG signals and a first EMG signal of the at least two EMG signals is captured between a first electrode positionable on the subject's scalp at the Al position and a reference electrode (REF), wherein a second EEG signal of the at least two EEG signals and a second EMG signal of the at least two EMG signals is captured between a second electrode positionable on the subject's scalp at the A2 position and the reference electrode;an end-points module configured to estimate a plurality of complexity boundaries in the at least two EEG signals between a plurality of stages;an electromyographic interpreter module configured to determine characteristic levels of the at least two EMG signals for each of a non-rapid eye movement (NREM) state, a wake state and a rapid eye movement (REM) state;a REM complexity module configured to estimate a characteristic complexity of the at least two EEG signals and a characteristic EMG activity of the at least two EMG signals, wherein the characteristic complexity and the characteristic EMG activity are estimated based on all of the plurality of epochs that correlate to the REM state; anda staging loop module ...

COMPUTER ARCHITECTURE FOR IDENTIFYING SLEEP STAGES

A computing machine receives sensor data representing airflow or air pressure. The computing machine determines, using an artificial neural network, a current sleep stage corresponding to the sensor data. The current sleep stage is one of: wake, rapid eye movement (REM), light sleep, and deep sleep. The artificial neural network comprises a convolutional neural network (CNN), a recurrent neural network (RNN), and a conditional random field (CRF). The computing machine provides an output representing the current sleep stage. 1. A method comprising:receiving sensor data representing airflow or air pressure;determining, using an artificial neural network, a current sleep stage corresponding to the sensor data, wherein the current sleep stage is one of: wake, rapid eye movement (REM), light sleep, and deep sleep, wherein the artificial neural network comprises a convolutional neural network (CNN), a recurrent neural network (RNN), and a conditional random field (CRF); andproviding an output representing the current sleep stage.2. The method of claim 1 , wherein the sensor data is received from a sensor residing on a face mask of a person claim 1 , wherein the airflow or the air pressure comprises an oral or a nasal airflow or air pressure of the person.3. The method of claim 1 , wherein the RNN comprises a plurality of gated recurrent units (GRUs).4. The method of claim 3 , wherein at least one GRU from the plurality of GRUs comprises an update gate and a hidden cell state claim 3 , wherein the at least one GRU computes a set of update equations based on an input received at the update gate and the hidden cell state.5. The method of claim 1 , wherein the artificial neural network comprises the CNN followed by the RNN followed by the CRF claim 1 , wherein the CRF generates the output representing the current sleep stage6. The method of claim 1 , wherein the CNN comprise a plurality of blocks claim 1 , each block comprising a one-dimensional (1D) convolution claim 1 , ...

ENVIRONMENT CONTROL SYSTEM

An environment control system that controls an environment of a subject is provided. The environment control system includes an actuator configured to control an environment of a subject, and a controller configured to control an operation of the actuator. The environment control system includes an inference unit that includes a first learned model and a second learned model. The first learned model has been trained by associating environmental information indicating an environment of a subject with data correlating with one of sleep, excretion, movement, skin, and stress conditions of the subject. The second learned model has been trained by associating the data correlating with one of the sleep, excretion, movement, skin, and stress conditions of the subject with data correlating with a magnitude of one or more risks that may occur with respect to the subject in a future period of time. The environment control system includes an operating condition determining unit configured to, in a case in which data correlating with the magnitude of the one or more risks that may occur with respect to a subject in a future period of time is inferred based on the first and second learned model, evaluate the inferred data to determine an operating condition of the actuator. 1. An environment control system for controlling an environment of a subject , comprising:an actuator configured to control an environment;an operating condition determining unit configured to determine an operating condition of the actuator;a controller configured to control the actuator based on the operating condition determined by the operating condition determining unit; andan inference unit that includes a first learned model and a second learned model,wherein the first learned model is a model that has been trained by associating environmental information indicating an environment of a subject with data correlating with at least one of sleep, excretion, movement, skin, and stress conditions of the ...

SLEEP STATE MANAGEMENT DEVICE, SLEEP STATE MANAGEMENT METHOD, AND SLEEP STATE MANAGEMENT PROGRAM

A sleep state management device includes a sensor that detects movement in bedding where a measurement subject is sleeping, and a control unit that calculates a peak value difference, which is a difference between adjacent peak values in a detection signal outputted from the sensor, determines that a period in which a number of times the peak value difference exceeds a threshold is greater than a predetermined value is a period in which the measurement subject has moved, and manages the sleep state of the measurement based on a result of the determination. 1. A sleep state management device comprising:a sensor unit that detects movement in bedding where a measurement subject is sleeping;a peak value difference calculation unit that calculates a peak value difference that is a difference between adjacent peak values in a detection signal outputted from the sensor unit;a first body movement determination unit that determines that a period in which a number of times the peak value difference exceeds a first threshold is greater than a predetermined value is a period in which the sensor unit has detected movement; anda sleep state management unit that manages a sleep state of the measurement subject using a result of the determination performed by the first body movement determination unit.2. The sleep state management device according to claim 1 ,wherein the sensor unit is a two- or three-axis accelerometer.3. The sleep state management device according to claim 2 ,wherein the peak value difference is an integrated value of the differences calculated for detection signals from each axis outputted from the sensor unit.4. The sleep state management device according to claim 1 , further comprising:a maximum/minimum difference calculation unit that finds, for each of unit segments in a period in which the detection signal is outputted from the sensor unit, a maximum/minimum difference that is a difference between a maximum value and a minimum value in the detection signal ...

METHOD AND SYSTEM FOR PROCESSING AND ANALYZING ANALYTE SENSOR SIGNALS

A method and system for near-real time and continuous analyte monitoring, the method including: receiving a signal stream associated with an analyte parameter of the user across a set of time points; generating a dataset indicative of values of the analyte parameter across the set of time points, upon processing of the signal stream in near-real time; performing a calibration operation on values of the analyte parameter, based upon a calibration event, thereby generating a set of calibrated values of the analyte parameter; at the computing system, identifying a set of activity events of the user, from a supplemental dataset, during a time window corresponding to the set of time points; generating an analysis indicative of an association between at least one of the set of activity events and the set of calibrated values of the analyte parameter; and rendering information derived from the analysis to the user. 1. A method for near-real time and continuous analyte monitoring , the method including:at an analyte sensor in communication with interstitial fluid of a user, receiving a signal stream associated with an analyte parameter of the user across a set of time points;at a computing system in communication with the analyte sensor, generating a dataset indicative of values of the analyte parameter across the set of time points, upon processing of the signal stream in near-real time;performing a calibration operation on values of the analyte parameter, based upon a calibration event unassociated with a blood-sampled measurement of the user, thereby generating a set of calibrated values of the analyte parameter;at the computing system, identifying a set of activity events of the user, from a supplemental dataset, during a time window corresponding to the set of time points;generating an analysis indicative of an association between at least one of the set of activity events and the set of calibrated values of the analyte parameter; andat a mobile computing device ...

BED DEVICE SYSTEM AND METHODS

Introduced are a bed device system and methods for: gathering human biological signals, such as heart rate, breathing rate, or temperature; analyzing the gathered human biological signals; and controlling the bed device system, e.g., a temperature of the bed device, based on the analysis. 1. A bed system for measuring a biological signal associated with a user and an environment property , and based on said biological signal and said environment property automatically adjusting a temperature of a mattress , said bed system comprising: a sensor strip, wherein said sensor strip comprises a user sensor configured to measure said biological signal associated with said user, wherein said biological signal comprises a heart rate associated with said user, and a breathing rate associated with said user;', 'a temperature regulating layer configured to adjust said temperature of said mattress;, 'a bed device configured to receive an instruction to heat said mattress to a specified temperature, said bed device comprising a mattress cover, said mattress cover further comprisingan environment sensor, configured to measure said environment property, wherein said environment property comprises a current time, a temperature, a humidity, a light intensity, or a sound intensity; determine, based on said biological signal associated with said user and said environment property, a change in a sleep state associated with said user; and', 'when said change in said sleep state comprises a transition from awake to asleep, send a control signal to said bed device., 'a processor communicatively coupled to said bed device and said environment sensor, said processor configured to2. The bed system of claim 1 , wherein said processor determines presence associated with said user claim 1 , and motion associated with said user claim 1 , based on said biological signal associated with said user.3. The bed system of claim 1 , wherein said processor is configured to:receive an input from said user; ...

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 ...

ESTIMATION DEVICE, ESTIMATION SYSTEM, ESTIMATION METHOD, AND PROGRAM FOR JET LAG SYMPTOM

Provided is an estimation device for a jet lag symptom, including an acquiring unit acquiring an estimation criterion set in a manner that each of feature quantities of a physiological index of a core body temperature system and a physiological index of an activity system is classified according to the severity of the jet lag symptom, and a feature quantity range is specified according to a classification of the severity of the jet lag symptom, an extracting unit extracting the feature quantities of the physiological index of the core body temperature system and the physiological index of the activity system on a subject, and an estimating unit determining which feature quantity range of the estimation criterion includes a feature quantity of a physiological index of the subject, and estimates a jet lag symptom of the subject. 1. An estimation device for a jet lag symptom , comprising:an acquiring unit that acquires an estimation criterion in which a feature quantity range of each of a feature quantity of a physiological index of a core body temperature system and a feature quantity of a physiological index of an activity system is set according to a severity of a jet lag symptom;an extracting unit that extracts the feature quantity of the physiological index of the core body temperature system and the feature quantity of the physiological index of the activity system on a subject; andan estimating unit that determines which feature quantity range of the estimation criterion includes a feature quantity of a physiological index of the subject on each of the physiological index of the core body temperature system and the physiological index of the activity system, and estimates a jet lag symptom of the subject.2. The estimation device for the jet lag symptom according to claim 1 ,wherein the estimation criterion is set based on a plurality of samples that differ in a severity of a jet lag symptom.3. The estimation device for the jet lag symptom according to claim 2 , ...

METHOD FOR ANALYZING SOUND DATA FOR USE IN AN ANTI-SNORING SYSTEM AND APPARATUS

An anti-snoring system comprising an adjustable bed having a sleeping surface that may be mechanically raised or lowered, and a control module adapted to receive commands from a source external to the adjustable bed; a mobile device in direct or indirect communication with the control module in the adjustable bed, and wherein the mobile device has sound recording capabilities; a mobile application resident on the mobile device, wherein the mobile application includes a sound classification machine learning model that includes an artificial intelligence or neural network operative to determine whether or not a person on the sleep surface is snoring, and wherein upon a determination that the person is snoring and has been snoring for a predetermined period of time, the mobile application instructs the control module to raise or adjust the sleeping surface to a height or position that will discourage the person from snoring. 1. An anti-snoring system , comprising:(a) an adjustable bed, wherein the adjustable bed includes a sleeping surface that may be mechanically raised or lowered, and wherein the adjustable bed includes a control module adapted to receive commands from a source external to the adjustable bed;(b) a mobile device, wherein the mobile device is in direct or indirect communication with the control module in the adjustable bed, and wherein the mobile device has sound recording capabilities;(c) a mobile application resident on the mobile device, wherein the mobile application includes a sound classification machine learning model that includes an artificial intelligence or neural network operative to determine whether or not a person on the sleep surface is snoring, and wherein(d) upon a determination that the person is snoring and has been snoring for a predetermined period of time, the mobile application instructs the control module in the adjustable bed to reposition the sleeping surface to discourage or stop the person from snoring.2. The system of ...

User interfaces for managing health data

The present disclosure generally relates to managing health data for a patient. In some embodiments, the disclosed techniques include displaying graphical representations of data including a first graph corresponding to a first data set and a second graph corresponding to a second data set. An input directed to the first graph is detected, and in response, a plurality of user interface objects are displayed, including a first user interface object or a second user interface object. The first user interface object is associated with the first graph and based on a first variable that is selected based on a location of the input, and the second user interface object is associated with the second graph and based on a second variable that is selected based on the location of the first input. In some embodiments, the health data is sleep-related data, including data on mid-sleep awakenings.

Using aggregated sensed data of individuals to predict whether an individual requires assistance from a responder

The methods and systems described herein may involve determining at least one lifeotype of at least one individual, analyzing the at least one lifeotype, and delivering content to at least one individual based on the analysis. The methods and systems described herein may involve providing a game, determining at least one lifeotype of at least one player of the game, analyzing the at least one lifeotype, and affecting the game play based on the analysis. The methods and systems described herein may involve providing an interactive space, determining at least one lifeotype of at least one individual in the space, analyzing the at least one lifeotype, and modifying at least one attribute of the space based on the analysis.

Entraining respiration

Systems and methods are provided that provide respiration entrainment cues to a user to encourage relaxation or a sleep state. The entrainment cues may be audible, visible, or tactile (or any combination). The entrainment cues include a rhythmic component associated with a target respiration rate and may include sub-components associated with a target breath architecture, such as an inhale-exhale cycle. The systems and methods detect the user's respiration to determine whether the user's respiration matches the entrainment cues or whether the user has fallen asleep.

ABNORMALITY REPORTING DEVICE, RECORDING MEDIUM, AND ABNORMALITY REPORTING METHOD

The present invention is provided with: a biological signal acquisition means for acquiring a biological signal of a user on a bed; a biological information value calculation means for calculating a biological information value from the acquired biological signal; a presuming means for presuming the status of the user on the basis of the biological information value; and a reporting means for reporting an abnormality when the status of the user is determined to be abnormal by the presuming means. As a result, it is possible to provide the abnormality reporting system and the like that can presume the status with high accuracy on the basis of the measured biological information value of the user on a bed. 113-. (canceled)14. A device comprising:a sensor configured to acquire a biological signal of a user on a bed;a controller configured to presume a status of the user only around a first timing every day on the basis of the biological signal, the first timing being a timing the user wakes up; anda output unit configured to output an alarm when the status of the user is abnormal.15. The device according to claim 14 , wherein the controller is configured to calculates a heart rate and a respiratory rate of the user from the biological signal claim 14 , and the controller is configured to presume the status of the user on the basis of the heart rate or the respiratory rate of the user.16. The device according to claim 14 , wherein the controller is configured to calculates a heart rate claim 14 , a respiratory rate claim 14 , an amount of activity of the user claim 14 , whether the user is on the bed or not claim 14 , a respiratory event index and a periodic body movement index from the biological signal claim 14 , and the controller is configured to presume the status of the user on the basis of at least the two of the heart rate claim 14 , the respiratory rate claim 14 , and the amount of activity claim 14 , whether the user is on the bed or not claim 14 , a ...

ELECTRONIC APPARATUS CONTROL USING A BREATHING ASSISTANCE APPARATUS

A breathing gases supply apparatus can comprise a blower and breathing circuit for delivering breathing gases to a patient. The apparatus also can comprise a first controller , the controller configured to receive input from at least one sensor - indicative of patient breathing, and a transmitter configured to communicate with the controller and transmit control signals to an electronic apparatus . The controller can be configured to determine sleep in a patient based on the occurrence of a breathing pattern indicative of sleep, detected from the input received from the sensor - and upon determining sleep, operate the transmitter to send a control signal to control an electronic apparatus 133-. (canceled)34. A breathing gases supply apparatus comprising:a blower and breathing circuit for delivering breathing gases to a patient, a controller configured to receive input from at least one sensor indicative of patient breathing,a transmitter configured to communicate with the controller and transmit control signals to an external electronic apparatus,wherein the controller is configured to determine a sleep state of the patient based on the occurrence of a breathing pattern indicative of the sleep state detected from the input received from the sensor, and upon determining the sleep state, operate the transmitter to send a control signal to control a state of operation of the electronic apparatus based on the sleep state, and wherein the controller is configured to operate the transmitter to send a control signal to turn off the electronic apparatus or turn off a function of the electronic apparatus or both when the determined sleep state is an asleep state.35. A breathing gases supply apparatus as claimed in claim 34 , wherein the controller is further configured to operate an alarm when the determined sleep state is a shallow sleep state or a REM sleep state.36. A breathing gas supply apparatus as claimed in claim 35 , wherein the controller is configured to operate ...

SYSTEM AND METHOD FOR TRACKING SLEEP DYNAMICS USING BEHAVIORAL AND PHYSIOLOGICAL INFORMATION

A system and method is provided for tracking sleep dynamics in a subject. In one aspect, a method includes acquiring physiological data using sensors positioned about the subject, and acquiring behavioral data using input provided by the subject. The method also includes generating a statistical model of wakefulness by combining information obtained from the acquired physiological data and behavior data, and estimating a probability indicative of a degree to which the subject is awake at each point in time during sleep onset using the statistical model. The method further includes generating a report indicative of sleep onset in the subject. 1. A method for tracking sleep onset in a subject , the method comprising:a) acquiring physiological data using sensors positioned about the subject;b) acquiring behavioral data using input provided by the subject;c) generating a statistical model of wakefulness by combining information obtained from the acquired physiological data and behavior data;d) estimating a probability indicative of a degree to which the subject is awake at each point in time during sleep onset using the statistical model; ande) generating a report indicative of sleep onset in the subject.2. The method of claim 1 , wherein the physiological data is associated with a brain activity claim 1 , a muscular activity claim 1 , a respiratory activity claim 1 , or combinations thereof.3. The method of claim 1 , wherein the method further comprises providing an instruction to the subject to perform a task.4. The method of claim 1 , wherein the method further comprises correlating the acquired physiological data with the behavior data to determine a response of the subject.5. The method of claim 1 , wherein the method further comprises computing a confidence interval for the probability at each point in time.6. The method of claim 1 , wherein the method further comprises determining a change in sleep onset using probabilities estimated at step d).7. The method of ...

BIOLOGICAL INFORMATION PROCESSING SYSTEM, ELECTRONIC APPARATUS, SERVER SYSTEM AND BIOLOGICAL INFORMATION PROCESSING METHOD

A biological information processing system includes a heart rate information acquisition unit that acquires heart rate information of a user, a determination unit that determines a basal heart rate based on the heart rate information, and an update unit that determines an update condition of the basal heart rate and performs update processing of the basal heart rate if a determination that the update condition is satisfied is made. 1. A biological information processing system comprising:a heart rate information acquisition unit that acquires heart rate information of a user;a determination unit that determines a basal heart rate based on the heart rate information; andan update unit that determines an update condition of the basal heart rate and performs update processing of the basal heart rate if a determination that the update condition is satisfied is made.2. The biological information processing system according to claim 1 , wherein the update unit increases the basal heart rate if the update condition is not satisfied in a predetermined period or at a predetermined number of times.3. The biological information processing system according to claim 2 , wherein the update unit counts a number of times of repetition from a start of measurement to an end of the measurement of the heart rate information as the predetermined number of times.4. The biological information processing system according to claim 3 , further comprising a body motion information acquisition unit that acquires body motion information from a body motion sensor claim 3 ,wherein the update unit counts a number of times when body motion of the user is determined to be smaller of the number of times of repetition based on the body motion information in a period from the start of the measurement to the end of the measurement as the predetermined number of times.5. The biological information processing system according to claim 1 , wherein the update unit performs determination of the update ...

SLEEP QUALITY ESTIMATION DEVICE, SLEEP QUALITY ESTIMATION METHOD AND PROGRAM FOR SLEEP QUALITY ESTIMATION

In a sleep quality estimation device, a respiration sensor detects the respiratory waveform of a subject. A sleep stage estimation unit estimates the sleep stage of the subject during sleep based on the respiratory waveform detected by the respiration sensor. In a sleep rhythm model database, models associated with the appearance probability of δ-wave for the sleep stage during sleep are recorded. A sleep quality estimation unit estimates the appearance time of δ-wave of the subject during sleep based on the sleep stage of the subject estimated by the sleep stage estimation unit and the models associated with the appearance probability of δ-wave for the sleep stage recorded in the sleep rhythm model database, and estimates the sleep quality of the subject based on the appearance time of δ-wave. 116-. (canceled)17. A sleep quality estimation device comprising:a physiological index detection unit which detects a physiological index of a subject;a sleep depth estimation unit which estimates the depth of sleep of the subject during sleep based on the index detected by the physiological index detection unit; anda sleep quality estimation unit which estimates the appearance time of δ-wave of the subject during sleep from the depth of sleep of the subject during sleep estimated by the sleep depth estimation unit and estimates the sleep quality of the subject based on the appearance time of δ-wave.18. The sleep quality estimation device according to claim 17 ,wherein the physiological index detection unit detects the respiration of the subject as the physiological index of the subject.19. A sleep quality estimation device comprising:a sleep depth information acquisition unit which acquires time series information relating to the depth of sleep of a subject during sleep; anda sleep quality estimation unit which estimates the appearance time of δ-wave of the subject during sleep from the depth of sleep of the subject during sleep according to the time series information ...

LOW FREQUENCY NON-INVASIVE SENSORIAL STIMULATION FOR SEIZURE CONTROL

Example apparatus and methods reduce epileptic seizures in a human patient by non-invasively providing low frequency (e.g., 1-10 Hz) audio stimuli coordinated with low frequency (e.g., 1-10 Hz) visual stimuli to the patient. The signals are provided non-invasively through the eyes and ears. The audio stimuli and visual stimuli may be selected or coordinated based on a state (e.g., hyperexcitability, imminent epileptic seizure, epileptic seizure in progress, REM sleep) determined from an EEG signal acquired from the patient. Apparatus for delivering the audio stimuli and visual stimuli may be incorporated into a single wearable apparatus (e.g., glasses with earphones, hat, headband). The single wearable apparatus may also provide noise cancellation and visual stimulus diminution. The audio stimuli may be incorporated into music or random background noise. 131-. (canceled)32: A system comprising:a visual signal output device configured to provide an external visual stimulus to a visual system of a patient, wherein the external visual stimulus comprises a low frequency;an audio signal output device configured to provide an external audible stimulus to a hearing system of the patient, wherein the external audible stimulus comprises the low frequency and is incorporated into music or random background noise; andan audio/visual signal device configured to coordinate presentation of the external visual stimulus and the external audible stimulus to the subject based on a state of the patient.3331: The system of claim , wherein the low frequency is from 1 to 10 Hertz.3431: The system of claim , wherein the state of the patient is determined from an electroencephalogram (EEG) signal acquired from the patient.3531: The system of claim , wherein the state of the patient comprises at least one of hyperexcitability , imminent epileptic seizure , epileptic seizure in progress , and rapid eye movement sleep.3631: The system of claim , further comprising a wearable apparatus that ...

IDENTIFYING CONDITIONS USING RESPIRATION RATE

Methods, systems, and devices for detection of medical conditions using respiration rate data are described. A method may include receiving physiological data associated with a user, the physiological data being continuously collected via a wearable device associated with the user, determining a set of respiration rate values for the user over a time interval based on the physiological data, and determining one or more respiration rate parameters associated with a change of the set of respiration rate values over the time interval. The method may further include determining one or more condition risk metrics associated with one or more medical conditions based on the one or more respiration rate parameters, where the one or more condition risk metrics associated with a relative probability that the user is associated with a respective medical condition. 1. A method comprising:receiving physiological data associated with a user, the physiological data being continuously collected via a wearable device associated with the user;determining a plurality of respiration rate values for the user over a time interval based at least in part on the physiological data;determining one or more respiration rate parameters associated with a change in the plurality of respiration rate values over the time interval;determining one or more condition risk metrics associated with one or more medical conditions based at least in part on the one or more respiration rate parameters, the one or more condition risk metrics associated with a relative probability that the user is associated with a respective medical condition of the one or more medical conditions; andcausing a graphical user interface of a user device to display an indication of the one or more condition risk metrics.2. The method of claim 1 , further comprising:fitting a line to the plurality of respiration rate values for the user over the time interval;determining a slope of the line, wherein the one or more respiration ...

SYSTEMS, METHODS, AND DEVICES FOR MEASUREMENT, IDENTIFICATION, AND GENERATION OF SLEEP STATE MODELS

Provided are systems, methods, and devices for measurement, identification, and generation of sleep state models. Systems include a plurality of electrodes configured to be coupled to a brain of a user and configured to obtain a plurality of measurements from the brain of the user, and an interface configured to obtain the plurality of measurements from the plurality of electrodes. Systems include a processing device comprising one or more processors configured to generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages, and further identifying characteristics of transitions between the plurality of sleep stages. Systems include a controller comprising one or more processors configured to generate a control signal based on the sleep state model and the plurality of measurements. 1. A system comprising:a plurality of electrodes configured to be coupled to a brain of a user and configured to obtain a plurality of measurements from the brain of the user;an interface configured to obtain the plurality of measurements from the plurality of electrodes;a processing device comprising one or more processors configured to generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages, and further identifying characteristics of transitions between the plurality of sleep stages; anda controller comprising one or more processors configured to generate a control signal based on the sleep state model and the plurality of measurements.2. The system of claim 1 , wherein the interface comprises the plurality of electrodes claim 1 , and wherein the plurality of measurements is neural activity of the user.3. The system of claim 2 , wherein the control signal comprises a plurality of stimuli generated based on a plurality of stimulation parameters.4. The system of claim 3 , wherein the controller is further configured to provide the ...

AUTOMATIC DETECTION OF USER'S PERIODS OF SLEEP AND SLEEP STAGE

Aspects of automatically detecting periods of sleep of a user of a wearable electronic device are discussed herein. For example, in one aspect, an embodiment may obtain a set of features for periods of time from motion data obtained from a set of one or more motion sensors in the wearable electronic device or data derived therefrom. The wearable electronic device may then classify the periods of time into one of a plurality of statuses of the user based on the set of features determined for the periods of time, where the statuses are indicative of relative degree of movement of the user. The wearable electronic device may also derive blocks of time each covering one or more of the periods of time during which the user is in one of a plurality of states, wherein the states include an awake state and an asleep state. 1. (canceled)2. A wearable electronic device , comprising:a plurality of biometric sensors, one or more of the biometric sensors configured to generate biometric data indicative of a user's sleep stage;one or more processors coupled to the one or more of the biometric sensors; and receive the biometric data from the one or more of the biometric sensors,', 'determine a plurality of statistical feature values based on the biometric data received from the one or more of the biometric sensors,', 'determine an activity level for each of a plurality of periods of time based on the determined statistical features,', 'classify each of the periods of time into one of a plurality of sleep stages based on the activity levels for the corresponding periods of time, and', 'store the sleep stages for the classified periods of time for display to the user., 'a non-transitory machine readable storage medium coupled to the one or more processors and having stored therein instructions, which when executed by the one or more processors, cause the one or more processors to3. The wearable electronic device of claim 2 , wherein:the one or more biometric sensors comprise one or ...

Cognitive alarm clock

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

Cognitive alarm clock

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.

Sleep Assistance Device

A sleep assistance device is provided-for, including a processor, communications hardware, memory, and a speaker. The processor receives information from an other device via the communications hardware. The processor may then provide a wake up alarm to a first user via the speaker based on the information received from the other device. 1. A sleep assistance device comprising:a processor;communications hardware coupled to the processor;memory; anda speaker;wherein said processor is configured to:receive information from an other device via the communications hardware; andprovide a wake up alarm to a first user via the speaker based on the information received from the other device.2. The sleep assistance device of claim 1 , wherein the information from the other device corresponds to a disruption in an other person's sleep pattern detected by the other device.3. The sleep assistance device of claim 1 , wherein the information from the other device corresponds to a temperature measurement claim 1 , an activation of a smoke alarm claim 1 , or an activation of a motion sensor.4. The sleep assistance device of claim 3 , wherein the other device comprises a home automation system.5. The sleep assistance device of claim 1 , further comprising a first biometric sensor for determining at least one of a heart rate claim 1 , a respiratory rate claim 1 , a presence claim 1 , or movement of a first user;6. The sleep assistance device of claim 5 , wherein the first biometric sensor comprises a contactless biometric sensor.7. The sleep assistance device of claim 5 , wherein said processor is configured to:detect the first user's sleep state by reading signals from said first biometric sensor based on at least one of a detected change in the first user's heartrate, body movement, respiration, or presence;initiate a first wind-down routine upon detecting a sleep-readiness state of the first user, the first wind-down routine comprising at least one of playing relaxing sounds or ...

Tissue oxygen saturation detection and related apparatus and methods

A wearable optical device is described for optically detecting parameters of interest within muscle, such as during physical activity or when at rest. The parameters of interest include oxygenation level and/or hemoglobin concentrations in some situations. The detected parameters, such as oxygenation level, may be used to assess physical performance, such as the extent to which the muscle is utilizing aerobic or anaerobic processes. Methods for determining the parameters of interest, such as oxygenation level, from the detected optical signals are also described, and feedback may be provided to a user.

DATA PROCESSING APPARATUS FOR AUTOMATICALLY DETERMINING SLEEP DISORDER USING DEEP RUNNING AND OPERATION METHOD OF THE DATA PROCESSING APPARATUS

Provided is a data processing apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model. 1. A data processing apparatus comprising:a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; anda sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data,wherein the signal data processor is configured to extract feature data by analyzing a feature of each of an electroencephalographic (EEG) signal, an electro-oculographic (EOG) signal, and an electromyographic (EMG) signal with respect to the signal data, and to transform the extracted feature data to an epoch unit of time series data to input the extracted feature data to the pre-generated sleep stage classification model.2. The data processing apparatus of claim 1 , wherein the signal data is collected in a European data format (EDF) from a plurality of different equipments claim 1 , ...

Apparatus for automatically determining sleep disorder using deep running and operation method of the apparatus

Provided is an automatic determination apparatus using a deep learning, the automatic determination apparatus including a signal data processor configured to collect signal data detected through polysomnography, to extract feature data by analyzing a feature of the collected signal data, and to transform the extracted feature data to time series data; and a sleep stage classification model processor configured to input the processed signal data to a pre-generated sleep stage classification model, and to classify a sleep stage corresponding to the signal data. The sleep stage classification model processor is configured to classify the sleep stage based on at least one of an American Academy of Sleep Medicine (AASM) standard and a Rechtschaffen and Kales (R&K) standard using an epoch unit of time series data as the processed signal data.

WEARABLE BIOMETRIC INFORMATION MEASUREMENT DEVICE

A biometric information measurement device is provided. The device includes a substrate unit including components required for operation of the biometric information measurement device, and electrodes for measuring biometric information. The components and the electrodes are disposed on a single side of the substrate unit. The device also includes a case having a first surface and a second surface. The first surface is attached to an attachment pad for attaching the biometric information measurement device to a body, and the second surface faces the single side of the substrate unit. The electrodes are each exposed through respective openings in the first surface. 1. A biometric information measurement device , comprising:a substrate unit including components required for operation of the biometric information measurement device, and electrodes for measuring biometric information, the components and the electrodes being disposed on a single side of the substrate unit; anda case having a first surface and a second surface, the first surface being attached to an attachment pad for attaching the biometric information measurement device to a body, and the second surface facing the single side of the substrate unit,wherein the electrodes are each exposed through respective openings in the first surface.2. The device of claim 1 , wherein sides of the electrodes are sealed to the interior of the openings.3. The device of claim 1 , wherein the substrate unit comprises:a plurality of substrates on which the components and the electrodes are individually and alternately arranged; andflexible circuit boards that connect the plurality of substrates.4. The device of claim 3 , wherein the plurality of substrates comprises a first substrate claim 3 , a second substrate claim 3 , a third substrate claim 3 , a fourth substrate claim 3 , and a fifth substrate claim 3 , the electrodes are mounted on the first substrate claim 3 , the third substrate claim 3 , and the fifth substrate ...

SYSTEM AND METHOD FOR SPECTRAL CHARACTIERZATION OF SLEEP

A system and method for identifying sleep states of a subject are provided. In some aspects, the method includes acquiring physiological data from a subject over a sleep period using sensors positioned about the subject, and assembling the physiological data into time-series datasets. The method also includes selecting a temporal window in which signals associated with the time-series datasets are substantially stationary, computing a time bandwidth product based on a selected spectral resolution and the selected temporal window, and determining a number of tapers using the computed time bandwidth product. The method further includes computing a spectrogram using the determined number of tapers and the time-series datasets, analyzing the spectrogram to identify signatures of sleep in the subject, and generating, using the identified signatures, a report indicative of sleep states of the subject. 1. A system for identifying sleep states of a subject , the system comprising:a plurality of sensors configured to acquire from a subject physiological data associated with sleep; and i) assemble the physiological data received from the sensors over a sleep period into time-series datasets;', 'ii) select a temporal window in which signals associated with the time-series datasets are substantially stationary;', 'iii) compute a time bandwidth product based on a selected spectral resolution and the selected temporal window;', 'iv) determine a number of tapers using the computed time bandwidth product;', 'v) compute a spectrogram using the time-series datasets and the determined number of tapers;, 'a processor configured tovi) analyze the spectrogram to identify signatures indicative sleep states of the subject.2. The system of claim 1 , wherein the physiological data is generated from at least one of a brain activity claim 1 , a muscle activity claim 1 , a respiration activity claim 1 , a cardiac activity claim 1 , an eye movement claim 1 , a galvanic skin response claim 1 , a ...

SYSTEM AND METHOD FOR MONITORING BEHAVIOR DURING SLEEP ONSET

A system and method are provided for monitoring subject behavior during sleep onset. In some aspects, a system includes one or more sensors configured to acquire behavioral data from a subject using input provided during sleep onset. The system also includes a processor programmed to at least assemble a time-series of behavioral responses using the behavioral data acquired using the one or more sensors, and estimate an instantaneous probability of response using the time-series of behavioral responses. The processor is also programmed to generate a statistical model of wakefulness using the instantaneous probability of response, and estimate, using the model, a probability indicative of a degree to which the subject is awake at each point in time during the sleep onset process. The processor is further configured to generate a report indicative of sleep onset in the subject. The system also includes an output for displaying the report. 1. A system for monitoring behavior of a subject during sleep onset , the system comprising;one or more sensors configured to at least acquire behavioral data from a subject using input provided during sleep onset; i) assemble a time-series of behavioral responses using the behavioral data acquired using the one or more sensors;', 'ii) estimate an instantaneous probability of response using the time-series of behavioral responses;', 'iii) generate a statistical model of wakefulness using the instantaneous probability of response;', 'iv) estimate, using the statistical model, a probability indicative of a degree to which the subject is awake at each point in time during a sleep onset process;', 'iv) generate a report indicative of sleep onset in the subject; and, 'a processor programmed to at leastan output for displaying the report.2. The system of claim 1 , wherein the processor is further programmed to provide an instruction to the subject for performing a behavioral task.3. The system of claim 2 , wherein the behavioral task ...

MONITORING OF SLEEP PHENOMENA

The present invention relates to method and a system for detecting sleep phenomena, the phenomena including at least one of sleep cycles and sleep disorders such as sleep apnea and hypopnea. Ballistocardiologic signals are detected from a subject person, which provide simultaneous information on heart rate variability (HVV) and stroke volume (SV) of the subject. Values of parameters reflecting measured characteristics of currently occurring cardiologic and respiration related sleep phenomena are obtained by processing at least said ballistocardiologic signals. Obtained parameters are used for making decisions on detection of said sleep phenomena, and a monitoring result is output in response to detection of a currently occurring sleep phenomenon. 1. A method for monitoring of sleep phenomena , said method comprising:obtaining a heart rate signal of a subject;processing said heart rate signal for obtaining at least one of a low frequency heart rate variability signal and a very low frequency heart rate variability signal;obtaining at least one heart rate variability value representing a characteristic of respective one of said obtained low frequency heart rate variability signal and very low frequency heart rate variability signal;simultaneously with obtaining the heart rate signal, obtaining a stroke volume signal of the heart of the subject;processing said stroke volume signal for obtaining a stroke volume variability signal;obtaining a stroke volume variability value representing a characteristic of the stroke volume variability signal; using said at least one heart rate variability value and said stroke volume variability value for detecting a currently occurring sleep phenomenon; andoutputting a monitoring result in response to detection of the currently occurring sleep phenomenon.2. The method according to claim 1 , further comprising:further processing, by calculating a first derivative of said at least one of low frequency heart rate variability signal and ...

Biometric monitoring device with immersion sensor and swim stroke detection and related methods

Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques for utilizing gyroscopes in biometric monitoring devices are provided. Such techniques may, in some implementations, involve obtaining swimming metrics regarding stroke cycle count, lap count, and stroke type. Such techniques may also, in some implementations, involve obtaining performance metrics for bicycling activities.

Athletic Performance Monitoring System Utilizing Heart Rate Information

An illumination source may be configured to illuminate the skin of the user. An illumination detector may detect electromagnetic radiation reflected of the skin of the user. A compensation module may be configured to determine the position of the skin of the user relative to the illumination detector. A processor may be configured to determine a heart rate of the user by analyzing information corresponding to an amount of the electromagnetic radiation detected by the illumination detector. The processor may also determine the heart rate of the user by compensating for the position of the skin of the user as determined by the compensation module.