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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 16187. Отображено 103.
23-05-2013 дата публикации

PATIENT ELECTRODE IMPEDANCE MEASUREMENT

Номер: WO2013074114A1
Автор: LEMAY, Charles
Принадлежит:

An apparatus and method is provided that determines a connection quality of an electrode to a patient. A current source is connected to a first electrode and a switch is connected to a second electrode for selectively connecting the second electrode to ground. A processor is connected to the first electrode and a third electrode and the processor detects a voltage difference between the first electrode and the third electrode upon application of a current to the first electrode by the current source to determine connection quality data for the first electrode.

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29-08-2019 дата публикации

EAR GEL MODULES AND EARPIECE MONITORING DEVICES INCORPORATING SAME

Номер: WO2019164764A1
Автор: STEPHENSON, Shawn M.
Принадлежит:

An ear gel module for an earpiece includes an ear gel having opposite inner and outer surfaces and first and second light guides each having respective opposite first and second ends. The first end of the first light guide is secured to the inner surface of the ear gel, and the first end of the second light guide is secured to the inner surface of the ear gel in adjacent spaced-apart relationship with the third light guide first end. The second ends of the first and second light guides are configured to be attached to and in optical communication with respective light guides extending from a sensor module within the earpiece when the ear gel module is attached to the earpiece.

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30-07-2020 дата публикации

AN EXPLAINABLE ARTIFICIAL INTELLIGENCE FRAMEWORK FOR ELECTROCARDIOGRAPHY ANALYSIS

Номер: WO2020153984A1
Принадлежит:

There is included an apparatus and system including an intra-heartbeat (HB) extraction code configured to extract intra-HB features from electrocardiography (ECG) signals, and an inter-HB extraction code configured to extract inter-HB features from the ECG signals, and at least one attention mechanism code configured to control at least one of the intra-HB extraction code and inter-HB extraction code based on at least one attention mechanism.

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02-02-2012 дата публикации

Automated detection of sleep and waking states

Номер: US20120029378A1
Автор: Philip Low
Принадлежит: SALK INSTITUTE FOR BIOLOGICAL STUDIES

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.

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01-03-2012 дата публикации

Device and method for biasing lung volume

Номер: US20120053654A1
Принадлежит: RMX LLC

A device and method is provided for biasing lung volume by electrically stimulating tissue associated with the diaphragm or phrenic nerve at a low level.

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14-06-2012 дата публикации

Classification of impacts from sensor data

Номер: US20120150453A1
Принадлежит: CLEVELAND CLINIC FOUNDATION

Systems and methods are provided for classifying an impact to a head of a human being as one of a plurality of event classes. A sensor interface is configured to determine an acceleration at a location of interest on the human being from provided sensor data in response to the impact. A feature calculation component is configured to calculate a plurality of impact parameters from the determined acceleration at the location of interest. A pattern recognition classifier is configured to associate the impact with an associated event class of at least three associated event classes according to the calculated plurality of impact parameters. A post-processing component is configured to communicate the associated event class an observer via an associated output device.

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21-06-2012 дата публикации

Aortic pacing to control cardiac afterload

Номер: US20120158082A1
Автор: Rodolphe Katra
Принадлежит: MEDTRONIC INC

A chronically implanted medical device, connected to a medical electrical lead that includes a sensor, is used to detect cardiac afterload. Electrical stimulation is delivered proximate aortic arch tissue of a patient in order to reduce a patient's cardiac afterload. Electrical stimulation is terminated after a termination condition is met.

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12-07-2012 дата публикации

Blending cardiac rhythm detection processes

Номер: US20120179057A1
Принадлежит: Individual

Systems and methods are described for classifying a cardiac rhythm. A cardiac rhythm is classified using a classification process that includes a plurality of cardiac rhythm discriminators. Each rhythm discriminator provides an independent classification of the cardiac rhythm. The classification process is modified if the modification is likely to produce enhanced classification results. The rhythm is reclassified using the modified classification process.

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16-08-2012 дата публикации

Apparatus And Method For Modulating Neurochemical Levels In the Brain

Номер: US20120209347A1
Принадлежит: Dartmouth College

A treatment for Parkinson's Disease uses a stimulus electrode implanted in a subthalamic nucleus with a chemosensor implanted in a globus pallidus pars interna (GPi) of the subject. A level of a neurochemical is sensed with the chemosensor, and compared to a desired level. When the level of the neurochemical is less than desired, an electrical stimulation is provided to the stimulus electrode. In alternative embodiments, the neurochemical sensed is glutamate or dopamine. An alternative system uses a chemosensor implanted in the striatum instead of the GPi. An alternative system for treating benign essential tremor uses a stimulus electrode implanted in the thalamus with feedback taken from a chemosensor in the striatum.

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13-09-2012 дата публикации

Signal Analysis System for Heart Condition Determination

Номер: US20120232417A1
Автор: Hongxuan Zhang
Принадлежит: Siemens Medical Solutions USA Inc

A system for heart performance characterization and abnormality detection includes an interface for receiving sampled data representing an electrical signal indicating electrical activity of a patient heart over multiple heart beat cycles. A signal processor automatically, decomposes the received sampled data to multiple different subcomponent signals in the time domain. The signal processor associates individual decomposed subcomponents with corresponding different cardiac rotors and determined characteristics of the subcomponents indicating relative significance of the rotors in a cardiac atrial condition. A reproduction device provides data indicating the subcomponent characteristics indicating relative significance of the rotors in a cardiac atrial condition.

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27-09-2012 дата публикации

Health monitoring appliance

Номер: US20120245464A1
Автор: Bao Tran
Принадлежит: Individual

A heart monitoring system for a person includes one or more wireless nodes; and a wearable appliance in communication with the one or more wireless nodes, the appliance monitoring vital signs. Other implementations can monitor heart rate, heart rate variability, respiratory rate, fluid status, posture and activity.

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27-09-2012 дата публикации

Physiology Monitoring and Alerting System and Process

Номер: US20120245479A1
Принадлежит: General Electric Co

A system for monitoring physiology, having: a RADAR transmitter and a RADAR receiver; a state estimation module configured to process a returned RADAR signal to detect a presence of motion and set a motion state upon said presence of motion, said state estimation module configured to detect a presence of one or more physiological parameters including heartbeat and respiration, and said state estimation module configured to assign a still state or a concern state based on said presence of physiological parameters; a rate estimation module configured to estimate one or more estimated physiological rates including an estimated respiration rate and an estimated heart rate; and an alerting module configured to provide an alert if an alert value exceeds an alert value threshold, wherein the alert value is derived from at least one of the motion state, concern state, still state and the estimated physiological rates.

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11-10-2012 дата публикации

Systems and Methods for Monitoring Heart Rate and Blood Pressure Correlation

Номер: US20120259235A1
Принадлежит: Nellcor Puritan Bennett LLC

Systems and methods are provided for monitoring a correlation between heart rate and blood pressure in a patient. When a characteristic of the correlation exceeds a threshold, a patient status indicator signal is sent to a monitoring device. In some embodiments, the patient status indicator signal indicates a particular medical condition or alerts a care provider to a change in status. In some embodiments, the heart rate signal is used to improve a blood pressure estimate generated by a different signal. In some embodiments, the heart rate, blood pressure and correlation signals are used in a predictive mathematical model to estimate patient status or outcome.

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25-10-2012 дата публикации

Method for Determining Locations of Implanted Electrodes with Medical Images

Номер: US20120271151A1

A method for accurate localization and visualization of implanted electrodes, such as implanted intracranial electrodes, is provided. More particularly, a realistic representation of intracranial electrode positions on patient-specific post-implantation MRI brain renderings is obtained. The resulting computer models provide an accurate depiction of electrode locations on three-dimensional brain renderings that are suitable for use in surgical planning of resection boundaries around, for example, epileptic zones. Electrodes placed inter-hemispherically are also visible with this method. In addition, a method for creating electrode “shadows” cast upon the brain model surface is provided. These electrode shadows are useful for estimating cortical areas sampled by iEEG and for locating electrodes that may straddle sulci and contact two adjacent cortical gyri.

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22-11-2012 дата публикации

Method and apparatus for monitoring sleep apnea severity

Номер: US20120296182A1
Принадлежит: UNIVERSIDAD DE VALLADOLID

Disclosed embodiments include a method and an apparatus for monitoring sleep apnea severity that comprise: (a) analyzing an oxygen saturation signal to extract a plurality of time-domain and frequency-domain metrics; (b) calculating an oxygen saturation-based Apnea Hyponea Index (AHI) by employing a predetermined functional mapping between said metrics and polysomnography (PSG)-based AHI; and (c) displaying an oxygen saturation-based AHI to enable a specialist to monitor sleep apnea severity without requiring PSG. According to a particular embodiment, the oxygen saturation signal is nocturnal oxygen saturation and the functional mapping is a multilinear regression model (MLR) or a multilayer perceptron network (MLP).

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13-12-2012 дата публикации

Electrode impedance spectroscopy

Номер: US20120316454A1
Автор: Paul Carter
Принадлежит: Cochlear Ltd

Aspects of the present invention are generally directed to impedance spectroscopy in an active implantable medical device (AIMD) comprising a component with one or more electrodes. In an embodiment, the AIMD applies a signal at a plurality of frequencies using one or more of the electrodes. Measurements are then obtained for the applied signal to determine impedance(s) at the applied frequencies of the tissue in which the electrodes are located.

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03-01-2013 дата публикации

Hand-Held Raman Laser Device for Distant Life-Death Determination by Molecular Peri-Mortem Plume Fuzzy Membership Function

Номер: US20130006062A1
Принадлежит: US Department of Army

Multiple functional systems are integrated to configure a portable handheld decision-aid device for first responder medics. Fuzzy membership functions of “life” and “death” are used to determine the status of fallen people using remote measurements. EO/IR cameras can be used to detect and identify casualties in a mass injury situation, while also estimating body temperature. Using the temperature, along with the remote estimation of a second vital sign, the life membership proportion can be estimated from the ground truth by using a 2D projection of stable vital signs. The other fuzzy membership function, death, can be estimated by the presence or absence of peri-mortem and post-mortem molecules. These molecules are only released after death and provide a certain indication of death. Solid state UV laser resonance Raman backscattering from these molecules allows the device to analyze the molecules present in a plume around the casualty.

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10-01-2013 дата публикации

Methods and Systems for Managing Fusion and Noise in Cardiac Pacing Response Classification

Номер: US20130013020A1
Принадлежит: Cardiac Pacemakers Inc

Methods and systems for detecting noise in cardiac pacing response classification processes involve determining that a cardiac response classification is possibly erroneous if unexpected signal content is detected. The unexpected signal content may comprise signal peaks that have polarity opposite to the polarity of peaks used to determine the cardiac response to pacing. Fusion/noise management processes include pacing at a relatively high energy level until capture is detected after a fusion, indeterminate, or possibly erroneous pacing response classification is made. The relatively high energy pacing pulses may be delivered until capture is detected or until a predetermined number of paces are delivered.

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21-02-2013 дата публикации

Systems And Methods For Detecting Airway Occlusion

Номер: US20130046181A1
Принадлежит: University of Texas System

In one embodiment, airway occlusion detection is performed by applying ultrasonic pulses into the neck of a patient, receiving the ultrasonic pulses after they have passed through the neck, and analyzing the pulses to determine whether or not an airway of the patient is partially or fully occluded.

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21-02-2013 дата публикации

Arrhythmia Classification

Номер: US20130046194A1
Принадлежит: St Jude Medical AB

An implantable medical device ( 100 ) is configured for generating a cardiogenic impedance signal representative of the cardiogenic impedance of at least a portion of a heart ( 10 ) of a subject ( 20 ) during multiple cardiac cycles. A transform processor ( 132 ) generates a spectrum signal by applying a time-to-frequency transform to the cardiogenic impedance signal. The spectrum signal is processed by a distribution processor ( 133 ) configured to calculate a distribution parameter indicative of a distribution in at least a portion of the spectrum signal. The calculated distribution parameter is of high diagnostic value and is employed by an arrhythmia classifier ( 134 ) in order to classify a detected arrhythmia of the heart ( 10 ), such as discriminate between hemodynamically stable or unstable arrhythmias and/or supraventricular or ventricular tachycardia.

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28-02-2013 дата публикации

Left-ventricular pacing site selection guided by electrogram morphology analysis

Номер: US20130053916A1
Принадлежит: MEDTRONIC INC

A medical device and associated method classify candidate pacing electrode sites for delivering pacing pulses to a patient's heart. A first morphology template is established and stored in memory of the device. A processor is configured to determine a cardiac signal morphology in response to delivering pacing pulses at a candidate pacing site in a first heart chamber. The processor compares the determined cardiac signal morphology to the first morphology template. The pacing site in the first heart chamber is classified in response to the comparing of the determined cardiac signal morphology and the first morphology template.

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18-04-2013 дата публикации

METHOD AND SYSTEM FOR SLEEP DISTURBANCE ANALYSIS

Номер: US20130096404A1
Принадлежит: Oridion Medical 1987 Ltd.

A system for automatic sleep test analysis, the system comprising: a pulse oximeter for continuously monitoring oxygen saturation values of a patient; a capnograph for continuously monitoring exhaled carbon dioxide (C02) values of the patient; and a computing unit configured to compute a continuous integrated sleep score based on a sequential analysis of the oxygen saturation values and the exhaled C02 values, wherein the continuous integrated sleep score is indicative of the patient's breathing-related sleep quality during at least a portion of the sleep test. 1. A method for automatic sleep test analysis , the method comprising:continuously monitoring, using a pulse oximeter, oxygen saturation values of a patient;{'sub': '2', 'continuously monitoring, using a capnograph, exhaled carbon dioxide (CO) values of the patient; and'}{'sub': '2', "computing a continuous integrated sleep score based on a sequential analysis of the oxygen saturation values and the exhaled COvalues, wherein the continuous integrated sleep score is indicative of the patient's breathing-related sleep quality during at least a portion of the sleep test."}2. The method according to claim 1 , wherein the sequential analysis comprises applying to the oxygen saturation values and the exhaled COvalues an analysis method selected from the group consisting of: a linear regression model claim 1 , a non-linear regression model claim 1 , fuzzy logic claim 1 , a Bayesian network claim 1 , a decision tree claim 1 , a neural network claim 1 , a radial base function and an expert system.3. The method according to claim 1 , further comprising;{'sub': '2', 'detecting multiple events indicative of ineffective breathing exhibited in one or more of the oxygen saturation values and the COvalues; and'}computing a weighting function for the detected events, wherein each event is assigned a suitable weight.4. The method according to claim 3 , wherein the suitable weight for each event is based on applying an ...

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18-04-2013 дата публикации

MAGNETIC RESONANCE IMAGING APPARATUS AND MAGNETIC RESONANCE IMAGING METHOD

Номер: US20130096419A1
Автор: MIYAZAKI Mitsue
Принадлежит:

A magnetic resonance imaging apparatus includes a collecting unit, a specifying unit, an acquiring unit and a calculating unit. The collecting unit collects a plurality of fluid images that are images of a fluid traveling though a subject. The specifying unit specifies a distance traveled by the fluid by using a difference image between a reference image that is one of the fluid images and each fluid image. The acquiring unit acquires an elapsed time corresponding to the traveled distance from pulse sequence information that is used to collect the fluid images. The calculating unit calculates a flow velocity of the fluid by dividing the traveled distance by the elapsed time. 1. A magnetic resonance imaging apparatus comprising:a collecting unit configured to collect a plurality of fluid images that are images of a fluid traveling through a subject;a specifying unit configured to specify a distance traveled by the fluid by using a difference image between a reference image that is one of the fluid images and each fluid image;an acquiring unit configured to acquire an elapsed time corresponding to the traveled distance from pulse sequence information that is used to collect the fluid images; anda calculating unit configured to calculate a flow velocity of the fluid by dividing the traveled distance by the elapsed time.2. The magnetic resonance imaging apparatus according to claim 1 , wherein the acquiring unit acquires the elapsed time corresponding to the traveled distance in accordance with a method of filling a k space used to generate the fluid images.3. The magnetic resonance imaging apparatus according to claim 2 , wherein the acquiring unit acquires claim 2 , as the elapsed time claim 2 , a BBTI (black-blood time to inversion) time from the pulse sequence information in a case of centric ordering in which phase encodes are arrayed from the center of the k space and the acquiring unit acquires claim 2 , as the elapsed time claim 2 , a value obtained from the ...

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25-04-2013 дата публикации

METHOD AND APPARATUS FOR DETERMINING A CENTRAL AORTIC PRESSURE WAVEFORM

Номер: US20130102909A1

A method is provided for determining a central aortic pressure waveform. The method includes: measuring two or more peripheral artery pressure waveforms; analyzing the signals so as to extract common features in the measured waveforms; and determining an absolute central aortic pressure waveform based on the common features. 1105.-. (canceled)106. A method for determining an absolute central aortic pressure waveform comprising:measuring peripheral artery pressure signals or related signals at more than one peripheral location in an arterial tree of a subject;modeling the arterial tree as a single input, multi-output system in which each output corresponds to one of the measured signals;analyzing, by a computing device having a processor, the measured signals so as to estimate a common input of the system to within an arbitrary scale factor; anddetermining, by the computing device, an absolute central aortic pressure waveform by scaling the estimated input based on the measured signals.107. The method of wherein channels of the single-input claim 106 , multi-output system model of the arterial tree are first estimated to within an arbitrary scale factor and then an inverse of the estimated channels is applied to the measured signals so as to reconstruct the common input to within an arbitrary scale factor.108. The method of wherein channels of the single-input claim 106 , multi-output system model of the arterial tree are characterized by linear and time-invariant impulse responses that are coprime.109. The method of wherein analyzing the measured signals further comprises applying multi-channel blind system identification to the measured signals to estimate parameters and order of the impulse responses and thereby estimate the impulse responses to within an arbitrary scale factor; and estimating the input of the system to within an arbitrary scale factor by deconvolution.110. The method of further comprising the representation of the impulse responses with a set of ...

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02-05-2013 дата публикации

METHOD AND APPARATUS FOR OBTAINING AND PROCESSING BALLISTOCARDIOGRAPH DATA

Номер: US20130109989A1
Принадлежит:

A method and apparatus are provided for obtaining and processing ballistocardiograph data to determine a physiological condition of a subject. Ballistocardiograph data indicative of heart motion of the subject measured along a plurality of spatial axes by a sensor device which may comprise a three-axis accelerometer. The ballistocardiograph data is processed to determine processed data indicative of heart motion of the subject. Indications of physiological condition are determined based at least in part on the processed data. Processing may comprise aggregation of multidimensional data, determining magnitude of heart motion and derivative thereof, determining a thrust summation, determining an index value, outputting a report based on an index value, etc. Processing may be informed by operator input, such as a time window of interest or indications of interest. 1. An apparatus for determining information indicative of a subject's physiological condition , said apparatus comprising:a) a sensor device configured to obtain ballistocardiograph data indicative of heart motion of the subject measured along a plurality of spatial axes; andb) a computing device communicatively coupled to the sensor device and configured to receive the ballistocardiograph data therefrom, the computing device configured to determine, based on the ballistocardiograph data, processed data indicative of heart motion of the subject, the computing device further configured to determine one or more indications of the subject's physiological condition based at least in part on the processed data.2. The apparatus according to claim 1 , wherein the sensor device comprises a three-axis accelerometer.3. The apparatus according to claim 2 , wherein the sensor device comprises one or more analog-to-digital converters configured to convert data from the three-axis accelerometer to digital ballistocardiograph data.4. The apparatus according to claim 1 , wherein the ballistocardiograph data comprises time ...

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02-05-2013 дата публикации

Method of building classifiers for real-time classification of neurological states

Номер: US20130109995A1
Принадлежит: BrainScope Co Inc, New York University NYU

A method of building binary classifiers for classification of brain electrical activity data into one or more neurological classes is described. The method comprises the steps of extracting quantitative features from the brain electrical activity data, and reducing the pool of extracted features into a computationally manageable and statistically relevant set of features which can then be used for designing one or more classifiers.

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09-05-2013 дата публикации

Detection of drastic blood pressure changes

Номер: US20130116587A1
Принадлежит: GAMBRO LUNDIA AB

A cardiac-activity based prediction of a rapid drop in a patient's blood pressure during extracorporeal blood treatment is disclosed. A proposed alarm apparatus includes a primary beat morphology analysis unit bank of secondary analysis units and an alarm generating unit. The primary beat morphology analysis unit discriminates heart beats in a received basic electrocardiogram signal, classifies each beat into one out of at least two different beat categories, and associates each segment of the signal with relevant event-type data. The event-type data and the basic electrocardiogram signal together form an enhanced electrocardiogram signal, based upon which the primary beat morphology analysis unit determines whether one or more secondary signal analyses should be performed. Depending on the enhanced electrocardiogram signal's properties, the bank of secondary analysis units performs none, one or more of up to at least two different types of secondary analyses, and for each analysis performed produces a respective test signal. The alarm generating unit receives the test signals, and triggers an alarm signal indicative of an estimated rapid blood pressure decrease, if at least one alarm criterion is fulfilled.

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23-05-2013 дата публикации

Automatic detection by a wearable camera

Номер: US20130128051A1
Принадлежит: SYRACUSE UNIVERSITY

There is set forth herein a system including a camera device. In one embodiment the system is operative to perform image processing for detection of an event involving a human subject. There is set forth herein in one embodiment, a camera equipped system employed for fall detection.

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23-05-2013 дата публикации

Multimodal detection of tissue abnormalities based on raman and background fluorescence spectroscopy

Номер: US20130131488A1
Принадлежит: British Columbia Cancer Agency BCCA

Methods and apparatus for classifying tissue use features of Raman spectra and background fluorescent spectra. The spectra may be acquired in the near-infrared wavelengths. Principal component analysis and linear discriminant analysis of reference spectra may be used to obtain a classification function that accepts features of the Raman and background fluorescence spectra for test tissue and yields an indication as to the likelihood that the test tissue is abnormal. The methods and apparatus may be applied to screening for skin cancers or other diseases.

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30-05-2013 дата публикации

Method for Detecting Arthritis and Cartilage Damage Using Magnetic Resonance Sequences

Номер: US20130137962A1
Принадлежит: Individual

In this work, a Magnetic Resonance Imaging (MRI)-based automatic classifier was designed to predict changes due to osteoarthritis (OA) years prior to their symptomatic presentation and radiographic detection. For each patient, multiple image texture features were measured from the T2 map of the patella cartilage and the lateral and medial compartments of the femoral condyle. A support vector machine (SVM)-based linear discriminant function was trained to predict health status, as well as the affected knee compartment. Feature selection was integrated into the classifier training to drastically reduce the number of image (biomarker) features without sacrificing classification accuracy. It was found that a dominant knee compartment determined the classification decision for most patients. We demonstrate that the signal texture index (STI) predicts disease progression prior to symptoms or radiographic signs of OA. In symptomatic individuals, the STI correlates with the pain and severity of OA suggesting it is a sensitive measure of the same on T2 Maps. These observed changes localized to one knee compartment demonstrating the method can localize OA to specific regions.

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06-06-2013 дата публикации

NMR SYSTEMS FOR IN VIVO DETECTION OF ANALYTES

Номер: US20130144134A1
Принадлежит: T2 Biosystems, Inc.

This invention relates generally to NMR systems for in vivo detection of analytes. More particularly, in certain embodiments, the invention relates to systems in which superparamagnetic nanoparticles are exposed to a magnetic field and radio frequency (RF) excitation at or near the Larmor frequency, such that the aggregation and/or disaggregation of the nanoparticles caused by the presence and/or concentration of a given analyte in a biological fluid is detected in vivo from a monitored RF echo response. 1. A nuclear magnetic resonance system for assessing the presence or concentration of an analyte contained in a body fluid of a mammal in-vivo , the system comprising:(a) a sensor suitable for partial or complete implantation within the mammal's body, the sensor comprising structure defining a sample volume and a port, the sample volume containing magnetic particles, and the port allowing the analyte to enter the sample volume and preventing, partly or completely, the magnetic particles from leaving the sample volume, the extent of aggregation of the magnetic particles being indicative of the presence or concentration of the analyte in the sample volume;(b) a reader for disposition outside the mammal's body, the reader providing results based on sensor indication of presence or concentration of the analyte in the sample volume;(c) a magnet or magnetic field generator;(d) a radiofrequency coil for applying a radiofrequency pulse sequence to the sample volume in the presence of a magnetic field provided by the magnet or magnetic field generator; and(e) means for determining the position of the sensor within the mammal's body.2. The system of claim 1 , wherein the radiofrequency coil acts as a sensing radiofrequency coil and an excitation radiofrequency coil.3. The system of claim 1 , wherein the sensor comprises the radiofrequency coil of (d) or a further radiofrequency coil.4. The system of claim 1 , wherein the reader comprises the radiofrequency coil of (d) or a ...

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06-06-2013 дата публикации

TECHNIQUES FOR PREDICTION AND MONITORING OF CLINICAL EPISODES

Номер: US20130144178A1
Принадлежит: EARLYSENSE LTD.

Apparatus and methods are provided including sensing at least one parameter of a subject while the subject sleeps. The parameter is analyzed, and a condition of the subject is determined at least in part responsively to the analysis. The subject is alerted to the condition only after the subject awakes. Other applications are also described. 1175-. (canceled)176. A method comprising:sensing at least one parameter of a subject while the subject sleeps;analyzing the parameter;determining a condition of the subject at least in part responsively to the analysis; andalerting the subject to the condition only after the subject awakes.177. The method according to claim 176 , wherein sensing the at least one parameter comprises sensing the at least one parameter without contacting or viewing the subject or clothes the subject is wearing.178. The method according to claim 176 , wherein the at least one parameter includes at least one motion-related parameter of the subject claim 176 , and wherein sensing the at least one parameter comprises sensing the at least one motion-related parameter without requiring human compliance.179. The method according to claim 176 , wherein sensing the at least one parameter comprises measuring a pressure in claim 176 , on claim 176 , or under a reclining surface upon which the subject lies.180. The method according to claim 176 , wherein determining the condition of the subject comprises predicting an onset of an asthma attack.181. The method according to claim 176 , wherein determining the condition of the subject comprises predicting an onset of an episode associated with the congestive heart failure (CHF) of the subject.182. The method according to claim 176 , wherein determining the condition of the subject comprises predicting an onset of an episode of hypoglycemia caused by diabetes.183. The method according to claim 176 , wherein determining the condition of the subject comprises predicting an onset of an episode selected from the ...

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04-07-2013 дата публикации

Emergency Medical Diagnosis and Communications Device

Номер: US20130172689A1
Принадлежит:

A portable emergency medical device capable of communicating with a remote location preferably as a cellular telephone that can measure one or more human vital parameters such as pulse rate, body temperature, skin moisture, blood pressure, ECG or blood chemistry and can receive symptoms from a user either by voice recognition or by keypad and can provide an expert medical diagnosis. The device can store a complete medical history for one or more users and can use an expert system to make the diagnosis. The device can make an emergency medical call either on command or automatically requesting help and optionally supplying medical information and/or GPS location information. 1. A personal medical diagnosis apparatus comprising:a cellular telephone module including a processor and memory;a medical expert system disposed in said memory and executable on said processor;a medical probe that measures at least one human medical parameter, said probe being in data communication with said medical expert system; andan input device, including a keyboard and circuitry through which the medical expert system receives symptom data;the expert system receiving imputed symptom data and at least one medical parameter and making a medical diagnosis.2. The personal medical diagnosis apparatus of further comprising a GPS receiver in communication with said processor claim 1 , wherein said processor is adopted to report a geographic location of said medical diagnosis apparatus to a remote station.3. The personal medical diagnosis apparatus of further comprising a housing wherein said medical probe is at least one of:a blood pressure sensor in or deployable from said housing;a pulse rate sensor in or deployable from said housing;a body temperature sensor in or deployable from said housing, or;an ECG interface in or deployable from said housing.4. The personal medical diagnosis apparatus of further comprising a housing wherein said medical probe is at least one of:a blood pressure sensor ...

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11-07-2013 дата публикации

Drowsiness detection method and associated device

Номер: US20130176129A1
Принадлежит: Wistron Corp

A drowsiness detection method for detecting drowsiness of a detection target is provided. The method includes a data collecting process including steps of: detecting physiological symptom information of the detection target; determining whether the detection target satisfies a predetermined drowsiness threshold condition according to the physiological symptom information; when the detection target satisfies the predetermined drowsiness threshold condition, triggering a stimulation event on the detection target; determining whether a response event is received from the detection target in response to the stimulation event; when the response event is not received, determining whether the stimulation event satisfies a threshold strength condition; and recording the physiological symptom information as a corresponding drowsiness detection condition of the detection target when the stimulation event satisfies the threshold strength condition.

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11-07-2013 дата публикации

Use of Machine Learning for Classification of Magneto Cardiograms

Номер: US20130178730A1
Принадлежит: CARDIOMAG IMAGING, INC.

The use of machine learning for pattern recognition in magnetocardiography (MCG) that measures magnetic fields emitted by the electrophysiological activity of the heart is disclosed herein. Direct kernel methods are used to separate abnormal MCG heart patterns from normal ones. For unsupervised learning, Direct Kernel based Self-Organizing Maps are introduced. For supervised learning Direct Kernel Partial Least Squares and (Direct) Kernel Ridge Regression are used. These results are then compared with classical Support Vector Machines and Kernel Partial Least Squares. The hyper-parameters for these methods are tuned on a validation subset of the training data before testing. Also investigated is the most effective pre-processing, using local, vertical, horizontal and two-dimensional (global) Mahanalobis scaling, wavelet transforms, and variable selection by filtering. 1. A method for automating the identification of meaningful features and the formulation of expert rules for classifying magnetocardiography data , comprising:applying a wavelet transform to sensed data acquired from sensors sensing magnetic fields generated by a patient's heart activity, resulting in wavelet domain data;applying a direct kernel transform to said wavelet domain data, resulting in transformed data; andidentifying said meaningful features and formulating said expert rules from said transformed data, using machine learning.2. The method of claim 1 , said kernel transform satisfying Mercer conditions.3. The method of claim 1 , said kernel transform comprising a radial basis function.4. The method of claim 1 , said applying a kernel transform comprising:assigning said transformed data to a first hidden layer of a neural network;applying training data descriptors as weights of said first hidden layer of said neural network; andcalculating weights of a second hidden layer of said neural network numerically.5. The method of claim 1 , further comprising:classifying said transformed data using ...

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11-07-2013 дата публикации

METHODS AND APPARATUS FOR RISK ASSESSMENT OF DEVELOPMENTAL DISORDERS DURING EARLY COGNITIVE DEVELOPMENT

Номер: US20130178731A1
Автор: Bosl William J.
Принадлежит: CHILDREN'S MEDICAL CENTER CORPORATION

The nonlinear complexity of EEG signals is believed to reflect the scale-free architecture of the neural networks in the brain. Analysis of the complexity and synchronization of EEG signals as described herein provides a quantitative measure for routine monitoring of functional brain development in infants and young children and provide a useful biomarker for detecting functional abnormalities in the brain before the cognitive, behavioral or social manifestations of these brain developments can be observed and measured by standard tests. One or more machine learning algorithms are used to discover relevant patterns in the complexity and synchronization values determined from the EEG data to facilitate risk assessment and/or diagnosis of developmental disorders in infants and young children by predicting cognitive, behavioral and social outcomes of the measured functional brain activity patterns. 1. A method of analyzing electromagnetic data , the method comprising:applying, with at least one processor, at least one nonlinear analysis to the electromagnetic data to generate at least one feature set; andclassifying the at least one feature set using at least one machine learning algorithm.2. The method of claim 1 , further comprising:determining a risk factor for a developmental disorder based, at least in part, on the classified at least one feature set.3. The method of claim 1 , wherein the electromagnetic data comprises electroencephalographic (EEG) data.4. The method of claim 1 , wherein the electromagnetic data comprises magnetoencephalographic (MEG) data.5. The method of claim 3 , further comprising:collecting the EEG data from a child at different developmental timepoints;wherein applying the at least one nonlinear analysis comprises applying the at least one nonlinear analysis to the EEG data collected at each developmental timepoint to generate a plurality of feature sets.6. The method of claim 1 , wherein applying the at least one nonlinear analysis ...

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18-07-2013 дата публикации

Breast classification based on impedance measurements

Номер: US20130184606A1
Автор: Ehud Nachaliel, Ron Ginor
Принадлежит: Mirabel Medical Systems Ltd

A method of screening for breast cancer, including determining at least one first electrical impedance related characteristic for a first breast of a patient, determining at least one second electrical impedance related characteristic for a second breast of a patient and classifying the patient as requiring additional testing, responsive to the value of the first and second characteristics, wherein classifying is not based on a difference between the first and second characteristics.

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01-08-2013 дата публикации

PATIENT MONITORING APPLIANCE

Номер: US20130197322A1
Автор: Tran Bao
Принадлежит:

A wireless system for a person includes a wearable appliance monitoring one or more body parameters; a plurality of wireless nodes in communication with the wearable appliance; and a remote computer coupled to the wireless nodes to provide information to an authorized remote user. 1. A wireless system for a person , comprising:a wearable appliance monitoring one or more body parameters;a plurality of wireless nodes in communication with the wearable appliance; anda remote computer coupled to the wireless nodes to provide information to an authorized remote user.2. The system of claim 1 , comprising an accelerometer to detect a dangerous condition and to generate a warning when the dangerous condition is detected.3. The system of claim 1 , wherein the appliance is wirelessly coupled to a hospital monitoring equipment.4. The system of claim 1 , comprising one of: EKG detector claim 1 , ECG detector claim 1 , electromagnetic detector claim 1 , ultrasonic detector claim 1 , optical detector claim 1 , a Hidden Markov Model (HMM) recognizer claim 1 , a dynamic time warp (DTW) recognizer claim 1 , a neural network claim 1 , a fuzzy logic engine.5. The system of claim 1 , wherein the appliance monitors patient movement.6. The system of claim 1 , comprising a positioning system from an 802.X station to provide location information.7. The system of claim 1 , comprising a call center coupled to the appliance to provide a human response.8. The system of claim 1 , comprising a web server coupled to the wireless nodes to provide information to an authorized remote user.9. The system of claim 1 , comprising a heart disease recognizer to detect stroke symptom or heart attack symptom.10. The system of claim 1 , comprising code to store and analyze patient information.11. The system of claim 1 , comprising code to store medicine taking habits claim 1 , eating and drinking habits claim 1 , sleeping habits claim 1 , or excise habits.12. The system of claim 1 , wherein the wireless ...

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15-08-2013 дата публикации

Method and system for modeling and processing fmri image data using a bag-of-words approach

Номер: US20130211229A1

Systems and methods for processing image data are provided. A computer implemented method for processing image data, comprises gathering 4-D image data from a subject, extracting time series data, and spatial and degree data of each voxel of the subject, deriving at least one feature from the time series data, deriving at least one feature from the spatial and degree data, combining the at least one feature from the time series data, and the at least one feature from the spatial and degree data to generate combined data, and inputting the combined data to a classifier, wherein the classifier outputs a classification based on the combined data.

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15-08-2013 дата публикации

Methods, Devices, Systems, Circuits and Associated Computer Executable Code for Detecting and Predicting the Position, Orientation and Trajectory of Surgical Tools

Номер: US20130211244A1
Автор: Ram Nathaniel
Принадлежит: SURGIX Ltd

The present invention includes methods, devices, systems, circuits and associated computer executable code for detecting and predicting the position and trajectory of surgical tools. According to some embodiments of the present invention, images of a surgical tool within or in proximity to a patient may be captured by a radiographic imaging system. The images may be processed by associated processing circuitry to determine and predict position, orientation and trajectory of the tool based on 3D models of the tool, geometric calculations and mathematical models describing the movement and deformation of surgical tools within a patient body.

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15-08-2013 дата публикации

SENSORY-EVOKED POTENTIAL (SEP) CLASSIFICATION/DETECTION IN THE TIME DOMAIN

Номер: US20130211276A1
Принадлежит: NeuroSky, Inc.

Techniques are disclosed for sensory-evoked potential (SEPs, e.g., visual-evoked potentials) signal detection/classification by synchronizing EEG to the repeated presentation of sensory stimuli in the time domain. In some embodiments, a system receives a plurality of EEG signal samples, generates a stimulus-locked EEG and determines whether the plurality of EEG signal samples are evoked in response to a pattern of stimulus. In some embodiments, no prior knowledge about the update pattern (such as the flashing frequency of a visual stimulus) of the stimulus and no prior knowledge about an individual user's EEG pattern are required.

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15-08-2013 дата публикации

PERSONAL EMERGENCY RESPONSE (PER) SYSTEM

Номер: US20130211291A1
Автор: Tran Bao
Принадлежит:

A method of automatically requesting assistance for a patient includes wearing a wireless device with one or more accelerometers on the patient to detect patient motion; determining a fall based on detected motions; and automatically requesting assistance for the patient if needed.

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22-08-2013 дата публикации

VERSATILE SENSORS WITH DATA FUSION FUNCTIONALITY

Номер: US20130217979A1
Принадлежит:

Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject. 1. A fitness sensing system configured to be supported by a subject , the fitness sensing system comprising:a processor;at least one display;a non-invasive blood glucose monitor; andan intelligent activity monitor comprising an accelerometer; wherein the processor is configured to process data received from the accelerometer to identify, from among a plurality of different activities, an activity performed by the subject and to compute at least one metric representative of the identified activity, and is further configured to process data from the blood glucose monitor in combination with the data received from the accelerometer to determine an operational mode, from among a plurality of operational modes, of the blood glucose monitor.2. The fitness sensing system of claim 1 , wherein the operational mode comprises a frequency at which blood glucose measurements are made.3. The fitness sensing system of claim 1 , wherein the operational mode comprises a calibration mode that calibrates an accuracy of blood glucose level readings for the non-invasive blood glucose monitor.4. The fitness sensing system of claim 3 , further comprising a blood glucose reader for disposable strips ...

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22-08-2013 дата публикации

AUTOMATED ASSESSMENT OF SKIN LESIONS USING IMAGE LIBRARY

Номер: US20130218026A1
Принадлежит: CONVERGENT MEDICAL SOLUTIONS, INC.

An automated skin lesion assessment system may automatically assess a suspect skin lesion. An electronic image library may contain diagnosed skin lesion image data representative of images of a plurality of diagnosed skin lesions and, for each, a diagnosis of the skin lesion. An image capture system may capture an image of the suspect skin lesion. A computer processing system may compare the image of the suspect skin lesion with the diagnosed skin lesion image data and, based on this comparison, identify one or more diagnosed skin lesions which match the suspect skin lesion. A user interface may report the diagnoses of the diagnosed skin lesions that match the image of the suspect skin lesion. 18.-. (canceled)9. An automated skin lesion assessment system for automatically assessing a suspect skin lesion comprising:an image library containing images of diagnosed skin lesions and, for each, a diagnosis of the skin lesion;an image capture system that captures an image of the suspect skin lesion;a computer processing system that compares the images of the suspect skin lesion with the image of the diagnosed skin lesions and identifies the images of the diagnosed skin lesions that substantially match the image of the suspect skin lesion, at least two of the substantially matching images of the diagnosed skin lesions having different diagnoses; and only the most frequent diagnosis of the substantially-matching diagnosed skin lesions; or', 'more than one of the diagnoses of the substantially-matching diagnosed skin lesions, together with information indicative of the quantity of the substantially-matching diagnosed skin lesions that had each reported diagnosis., 'a user interface that reports10. The automated skin lesion assessment system of wherein the user interface reports only the most frequent diagnosis of the substantially-matching diagnosed skin lesions.11. The automated skin lesion assessment system of wherein the user interface reports more than one of the ...

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22-08-2013 дата публикации

System for Non-invasive Cardiac Output Determination

Номер: US20130218038A1
Автор: Zhang Hongxuan
Принадлежит: SIEMENS MEDICAL SOLUTIONS USA, INC.

A method determines cardiac output or stroke volume by receiving signal data representing multiple parameters of a patient concurrently acquired over a particular time period and comprising at least one of, (a) a parameter derived from an ECG waveform of the patient, (b) a parameter derived from a blood pressure signal of the patient, (c) a parameter derived from signal data representing oxygen content of blood of the patient and (d) a parameter derived from a patient cardiac impedance value. A selected parameter of the multiple concurrently acquired parameters is used in calculating a heart stroke volume of the patient comprising volume of blood transferred through the blood vessel in a heart cycle, in response to, a combination of a weighted summation of values of the selected parameter over the particular time period. Data representing the calculated heart stroke volume is provided to a destination device. 1. A method for determining cardiac output or stroke volume , comprising the activities of: (a) a parameter derived from an ECG waveform of said patient,', '(b) a parameter derived from a blood pressure signal of said patient,', '(c) a parameter derived from signal data representing oxygen content of blood of said patient and', '(d) a parameter derived from a patient cardiac impedance value;, 'receiving signal data representing a plurality of parameters of a patient, said plurality of parameters being concurrently acquired from a patient over a particular time period and comprising at least one of'}using a selected parameter of the plurality of concurrently acquired parameters of a patient in calculating a heart stroke volume of said patient comprising volume of blood transferred through the blood vessel in a heart cycle, in response to, a combination of a weighted summation of values of the selected parameter over said particular time period; andproviding data representing the calculated heart stroke volume to a destination device.2. A method according to ...

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29-08-2013 дата публикации

System and method for determining physiological parameters based on electrical impedance measurements

Номер: US20130226527A1
Принадлежит: General Electric Co

A system and method for determining physiological parameters based on electrical impedance measurements is provided. One method includes obtaining electrical measurement signals acquired from a plurality of transducers coupled to a surface of an object and spatially pre-conditioning the obtained electrical measurement signals. The method also includes performing multiple-input-multiple-output (MIMO) analog to information conversion (AIC) of the spatially pre-conditioned electrical measurement signals to correlate the spatially pre-conditioned electrical measurement signals to separate the electrical measurement signals.

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05-09-2013 дата публикации

Method and System for Diagnosis of Attention Deficit Hyperactivity Disorder from Magnetic Resonance Images

Номер: US20130231552A1
Принадлежит: Siemens Corporation

A method and system for automated diagnosis of attention deficit hyperactivity disorder (ADHD) from magnetic resonance images is disclosed. Anatomical features are extracted from a structural magnetic resonance image (MRI) of a patient. Functional features are extracted from a resting-state functional MRI (rsFMRI) series of the patient. An ADHD diagnosis for the patient is determined based on the anatomical features, the functional features, and phenotypic features of the patient using a trained classifier. An ADHD subtype may then be determined for patients diagnosed as ADHD positive using a second trained classifier. 1. A method for automated diagnosis of attention deficit hyperactivity disorder (ADHD) , comprising:extracting anatomical features from a structural magnetic resonance image (MRI) of a patient;extracting functional features from a resting-state functional MRI (rsFMRI) series of the patient; anddetermining an ADHD diagnosis for the patient based on the anatomical features, the functional features, and phenotypic features of the patient using a trained classifier.2. The method of claim 1 , wherein the structural MRI is a T-1 weighted MRI.3. The method of claim 1 , wherein the functional MRI series is a T2-weighted MRI series.4. The method of claim 1 , where the phenotypic features of the patient include age and gender of the patient.5. The method of claim 4 , wherein the phenotypic features of the patient further include handedness claim 4 , verbal IQ claim 4 , and performance IQ of the patient.6. The method of claim 1 , wherein extracting anatomical features from a structural magnetic resonance image (MRI) of a patient comprises:segmenting cortical hemisphere surfaces in the structural MRI; andextracting at least one anatomical feature at each of a plurality of uniformly spaced vertices on each of the cortical hemisphere surfaces.7. The method of claim 6 , wherein extracting at least one anatomical feature at each of a plurality of uniformly spaced ...

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12-09-2013 дата публикации

METHOD OF PROCESSING THORACIC REFLECTED RADIO INTERROGATION SIGNALS

Номер: US20130237798A1
Принадлежит: NONINVASIVE MEDICAL TECHNOLOGIES, INC.

A method of evaluating or monitoring the medical state of a human subject on the subject includes the steps of: positioning an antenna side of a self-contained radio apparatus for non-invasive, thoracic radio interrogation of a human subject proximally to the heart of the human subject; providing a radio frequency interrogation interference signal from the human subject, the radio frequency interrogation interference signal being low frequency components of reflections of a radio interrogation signal transmitted into the thorax of the subject; and determining with the apparatus on the subject at least at least one stroke volume value of the subject from radio frequency interrogation interference signal generated by the apparatus. 1. A method of electronically evaluating medical state of a human subject in near real time on the subject comprising the steps of:positioning an antenna side of a self-contained radio apparatus for non-invasive, thoracic radio interrogation of a human subject proximally to the heart of the human subject outside the human subject, the apparatus including a radio transmitter operably connected to the antenna and configured to transmit only an unmodulated radio frequency interrogation signal of a predetermined, fixed frequency through the antenna and into the proximally positioned human subject; a radio receiver operably connected to the antenna and configured to capture through the antenna reflections of the radio frequency interrogation signal returned from the human subject; processing circuitry including an electronic processor coupled with the radio receiver and a battery power source powering the apparatus;providing a radio frequency interrogation interference signal from the human subject and the radio receiver to the processing circuitry of the apparatus, the radio frequency interrogation interference signal being low frequency components of reflections of a radio interrogation signal transmitted into the thorax of the human subject ...

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19-09-2013 дата публикации

REAL TIME CLINICAL DECISION SUPPORT SYSTEM HAVING MEDICAL SYSTEMS AS DISPLAY ELEMENTS

Номер: US20130245481A1
Автор: TREMPER KEVIN K.

A clinical decision support system for patient treatment that incorporates patient data to display information in readily identifiable icons for vital organs and medical systems, and in a useable, real-time, updated fashion that extracts data from the medical history, the current medical management, the current physiologic monitors, and associated medical systems to produce warnings and alerts to enable caregivers to be made aware of physiologic systems at risk. These data are not only presented, but also use real-time queries and calculations to enable caregivers to have the types of data that would traditionally assist them in patient care but only be available by reviewing the medical literature and/or doing retrospective individual calculations while providing patient care. 1. A clinical decision support system for patient treatment comprising:a monitoring system operably coupled to a patient, said monitoring system passively engaging with the patient, said monitoring system outputting a first monitoring signal in response to a measured parameter of the patient, said monitoring system further operably coupled to a medical system associated with the patient, the medical system actively engaging with the patient to effect a physiological response in the patient, said monitoring system outputting a second monitoring signal in response to a detected condition of the medical system;a controller receiving said first and second monitoring signals and continuously calculating a secondary, non-measurable parameter of the patient based on said measured parameter, said controller outputting a display signal; anda display device operably coupled to said controller and receiving said display signal, said display device having a plurality of display indicia where at least one of the plurality of display indicia is responsive to said display signal, wherein at least one of said plurality of display indicia being substantially shaped as a readily-identifiable organ and operable ...

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26-09-2013 дата публикации

MAGNETIC RESONANCE IMAGING APPARATUS AND MAGNETIC RESONANCE IMAGING METHOD

Номер: US20130253307A1
Принадлежит:

An MRI apparatus includes an imaging data acquiring unit and a blood flow information generating unit. The imaging data acquiring unit acquires imaging data from an imaging region including myocardium, without using a contrast medium, by applying a spatial selective excitation pulse to a region including at least a part of an ascending aorta for distinguishably displaying inflowing blood flowing into the imaging region. The blood flow information generating unit generates blood flow image data based on the imaging data. 1. A magnetic resonance imaging apparatus comprising:an imaging data acquiring unit which acquires a plurality of 3-dimensional imaging data each corresponding to mutually different traveling time of inflowing blood flowing into an imaging region including myocardium in synchronization with a heartbeat without administration of a contrast medium, by applying a spatial selective excitation pulse plural times for distinguishably displaying the inflowing blood and by changing a time interval from application timing of the spatial selective excitation pulse to acquisition timing of the imaging data;a blood flow image generating unit which generates a plurality of blood flow image data corresponding to the mutually different traveling time of the inflowing blood based on the plurality of imaging data; anda cardiac function analysis unit which allows obtaining blood flow information indicative of cardiac function of the myocardium based on the plurality of blood flow image data.2. The magnetic resonance imaging apparatus according to claim 1 ,wherein the cardiac function analysis unit is configured to generate profiles of blood signal intensity, corresponding to the plurality of blood flow image data as the blood flow information.3. The magnetic resonance imaging apparatus according to claim 2 ,wherein the cardiac function analysis unit is configured to generate 3-dimensional profiles of the blood signal intensity.4. The magnetic resonance imaging ...

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03-10-2013 дата публикации

SYSTEMS AND METHODS FOR ESTIMATING BODY COMPOSITION

Номер: US20130261470A1
Принадлежит:

In one embodiment, a system and method for estimating body composition relate to constructing a three-dimensional model of a subject based upon captured images of the subject, estimating the body volume of the subject using the three-dimensional model, and estimating the body composition of the subject based in part upon the estimated volume. 1. A method for estimating body composition of a subject , the method comprising:capturing images of the subject;constructing a three-dimensional model of the subject based upon the images;estimating the body volume of the subject using the three-dimensional model; andestimating the body composition of the subject based in part upon the estimated volume.2. The method of claim 1 , wherein capturing images comprises capturing digital images of the subject.3. The method of claim 1 , wherein capturing images comprises capturing a profile image and at least one of a front image or a back image of the subject.4. The method of claim 1 , wherein estimating the body volume of the subject comprises dividing the three-dimensional model into discrete elliptical segments claim 1 , calculating the volume of each elliptical segment claim 1 , and summing the volumes of all elliptical segments to obtain a total volume.5. The method of claim 1 , wherein estimating the body volume of the subject comprises dividing the three-dimensional model into discrete segments whose shape is based upon the contours of an actual cross-dissection of a human body claim 1 , calculating the volume of each segment claim 1 , and summing the volumes of all segments to obtain a total volume.6. The method of claim 1 , wherein estimating body composition of the subject comprises estimating body density of the subject from the estimated body volume and the mass of the subject.7. The method of claim 6 , wherein estimating body composition of the subject further comprises calculating the subject's body fat percentage using a relation that directly relates body fat ...

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03-10-2013 дата публикации

SYSTEMS, METHODS AND DEVICES FOR MAINTENANCE, GUIDANCE AND/OR CONTROL

Номер: US20130261472A1
Принадлежит:

Methods, systems, devices and computer program products for providing maintenance, guidance and/or control of certain systems are disclosed. Typically, in some aspects the systems are complex. Also disclosed are methods, systems, devices and computer program products for providing therapeutic guidance for controlling a subject's circulation. One such method comprises the steps of: (i) determining the subject's present and desired circulatory states as a function of at least mean systemic filling pressure (P), heart efficiency (E) and systemic vascular resistance (SVR); (ii) determining a target direction of a trajectory from the subject's present circulatory state to said subject's desired circulatory state, wherein treatment of the subject so as to traverse the trajectory will cause the subject's circulatory state to move towards a desired circulatory state; and (iii) visually representing the target direction of the trajectory. 1. A computer-assisted method for assessing a subject's circulation state , said method comprising at least one of the following steps:(i) determining said subject's present circulatory state using parameters sufficient to characterize the present circulatory state; and(ii) determining said subject's desired circulatory state using parameters sufficient to characterize the desired circulatory state.2. The computer assisted method of claim 1 , wherein the method is used for providing a treatment guidance for said subject.3. The computer assisted method of claim 1 , wherein the method is used to measure said subject's circulation state.4. The computer-assisted method of claim 2 , wherein a target direction is determined of a trajectory from said subject's present circulatory state to said subject's desired circulatory state.5. The computer-assisted method of claim 4 , wherein the treatment guidance claim 4 , the target direction and the trajectory are used to assisted in moving said subject's circulatory state along towards a desired ...

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07-11-2013 дата публикации

Breathing disorder detection and therapy delivery device and method

Номер: US20130296964A1
Автор: Amir J. Tehrani
Принадлежит: RMX LLC

A device and method are provided for managing the treatment of a patient with respiratory disorders or symptoms. Respiratory parameters are sensed and recorded and communicated to an external device to provide information to a patient and/or provider for further treatment or diagnosis. Also respiratory disorders such as apnea or hypoventilation may be treated by electrically stimulating the diaphragm muscle or phrenic nerve in response to a sensed respiratory parameter or characteristic.

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05-12-2013 дата публикации

Method of Sonifying Brain Electrical Activity

Номер: US20130324878A1
Принадлежит:

A digital processor system having one or more processors and memory obtains a time-domain signal representing brain activity, the time-domain signal having a time varying signal value. The system concurrently generates a set of acoustic parameters, including a plurality of time-varying acoustic parameters, where one or more of the plurality of time-varying acoustic parameters is modulated in accordance with at least the signal value of the time-domain signal. The system combines the concurrently generated set of acoustic parameters to produce a representation of an acoustic signal corresponding to the time-domain signal, where the acoustic signal, in audible form, manifests one or more audibly discernible variations across a plurality of stages of a brain activity event. 1. A method of sonifying brain signals , the method comprising:obtaining a time-domain signal representing brain activity, the time-domain signal having a time varying signal value;concurrently generating a set of acoustic parameters, including a plurality of time-varying acoustic parameters, wherein one or more of the plurality of time-varying acoustic parameters is modulated in accordance with at least the signal value of the time-domain signal; andcombining the concurrently generated set of acoustic parameters to produce a representation of an acoustic signal corresponding to the time-domain signal;wherein the acoustic signal, in audible form, manifests one or more audibly discernible variations across a plurality of stages of a brain activity event.2. The method of wherein the brain activity event is an epileptic seizure.3. The method of claim 1 , wherein the time-domain signal representing brain activity is obtained by conditioning a sensor time-domain signal obtained from a sensor embedded in a particular location of a brain.4. The method of claim 3 , wherein the conditioning comprises upsampling the sensor time-domain signal to produce a first intermediate signal and low pass filtering the ...

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05-12-2013 дата публикации

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

Номер: US20130325394A1
Принадлежит: Fitbit LLC

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.

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05-12-2013 дата публикации

Methods and systems for interactive goal setting and recommender using events having combined activity and location information

Номер: US20130325404A1
Принадлежит: Fitbit LLC

A method for generating recommendations for achieving goals is described. The method includes receiving a goal for a user account. The goal is associated with an activity that is trackable via a monitoring device. The method further includes receiving tracking data associated with the monitoring device. At least part of the tracking data is associated to the activity. The method includes receiving geo-location data associated with the monitoring device. The geo-location data is correlated to the tracking data. The method includes analyzing the received tracking data and geo-location data to characterize a current performance metric for the activity and generating a recommendation for the user account. The recommendation identifies the current performance metric and a suggested action and location for increasing the current performance metric to achieve the goal.

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19-12-2013 дата публикации

Apparatus And Method For Surgical Instrument With Integral Automated Tissue Classifier

Номер: US20130338479A1
Принадлежит:

A method and apparatus is described for optically scanning a field of view, the field of view including at least part of an organ as exposed during surgery, and for identifying and classifying areas of tumor within the field of view. The apparatus obtains a spectrum at each pixel of the field of view, and classifies pixels with a kNN-type or neural network classifier previously trained on samples of tumor and organ classified by a pathologist. Embodiments use statistical parameters extracted from each pixel and neighboring pixels. Results are displayed as a color-encoded map of tissue types to the surgeon. In variations, the apparatus provides light at one or more fluorescence stimulus wavelengths and measures the fluorescence light spectrum emitted from tissue corresponding to each stimulus wavelength. The measured emitted fluorescence light spectra are further used by the classifier to identify tissue types in the field of view. 1. An instrument for automated identification of tissue types and for providing guidance to a surgeon during surgical procedures comprising:a multi-wavelength optical system for projecting light from a source onto tissue to illuminate a confined spot of the tissue;a scanner for directing the illuminated spot across the tissue in raster form;a spectrally sensitive detector for receiving light from the optical system in order to produce measurements at a plurality of wavelengths from the illuminated spot on the tissue;a spectral processing classifier for determining a tissue type associated with each of a plurality of pixels of the image; anda display device for displaying the tissue type of the plurality of pixels of the image to the surgeon.2. The instrument of claim 1 , wherein the optical system is a multiwavelength claim 1 , confocal system.3. The instrument of claim 1 , further comprising apparatus for determining parameters from pixel spectra claim 1 , wherein the classifier classifies each pixel according to the parameters; and ...

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26-12-2013 дата публикации

Method and system of automated detection of lesions in medical images

Номер: US20130343626A1
Принадлежит: Medipattern Corp

The invention provides a system and method for processing medical images. Input medical images are normalized first, utilizing pixel intensities of control point tissues, including subcutaneous fat. Clustered density map and malignance probability map are generated from a normalized image and further analyzed to identity regions of common internal characteristics, or blobs, that may represent lesions. These blobs are analyzed and classified to differentiate possible true lesions from other types of non-malignant masses often seen in medical images.

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26-12-2013 дата публикации

IMPLANTABLE HEART MONITORING DEVICE AND METHOD

Номер: US20130345582A1
Принадлежит: ST. JUDE MEDICAL AB

In an implantable heart monitoring device and method, particularly for monitoring diastolic dysfunction, a control circuit (a) detects the heart rate, (b) derives information correlated to the stroke volume of the heart at the detected heart rate, and (c) stores the detected heart rate and the derived information correlated to the stroke volume in a memory. The control circuit automatically implements (a), (b) and (c) at a number of different occasions for a number of different, naturally varying heart rates, so that the memory contains information indicating the stroke volume as a function of the heart rate. 1. A method for monitoring a heart of a living subject , comprising the steps of:implanting at least one electrode in vivo relative to the heart of a living subject, and emitting a signal from said at least one electrode;placing a control circuit in communication with said at least one electrode;placing a memory in communication with said control circuit; andin said control circuit (a) detecting the heart rate of the subject from said signal (b) deriving information correlated to the stroke volume of the heart at the detected heart rate, and (c) storing the detected heart rate and the derived information correlated to the stroke volume in said memory, and in said control circuit, to automatically executing (a), (b) and (c) at a plurality of different occasions for different, naturally varying heart rates, to enter information into said memory to produce a representation in said memory of the stroke volume as a function of the heart rate.2. A method as claimed in comprising claim 1 , in said control circuit claim 1 , executing (a) claim 1 , (b) and (c) at a plurality of different occasions that occur within a predetermined time period.3. A method as claimed in wherein said predetermined time period is a first predetermined time period claim 2 , and in said control circuit claim 2 , also executing (a) claim 2 , (b) and (c) during a plurality of further different ...

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09-01-2014 дата публикации

Apparatus and method for detecting myocardial ischemia using analysis of high frequency components of an electrocardiogram

Номер: US20140012148A1
Принадлежит: BSP Biological Signal Processing Ltd

ECG apparatus comprises an ECG input for obtaining ECG signals; a high frequency analyzer configured for obtaining high frequency QRS components from a QRS complex within said ECG signals and identifying therein at least one reduced amplitude zone—RAZ—present within a given QRS complex; and a RAZ quantifier configured for obtaining a quantification of said at least one RAZ region within said QRS complex.

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16-01-2014 дата публикации

Systems and methods for performing image type recognition

Номер: US20140016846A1
Принадлежит: General Electric Co

A method for determining image information for an image of an object includes obtaining at least one image of an object of interest, automatically determining an image type and a presence or absence of a contrast agent, automatically generating a label that indicates the image type and the presence or absence of the contrast agent, and modifying the at least one image to include the label. A system and non-transitory computer readable medium are also described herein.

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06-02-2014 дата публикации

Apparatus, system, and method for detecting activities and anomalies in time series data

Номер: US20140039274A1
Принадлежит: UNIVERSITY OF CALIFORNIA

Activities and abnormalities in activities are detected by: (1) receiving data corresponding to measurements of an activity occurring during a time interval; (2) determining a plurality of primitives associated with the data, wherein each of the plurality of primitives represents a characteristic pattern in a portion of the time interval; (3) derive an activity structure relating a first subset of the plurality of primitives that are correlated in time; and (4) based on the activity structure, classify a second subset of the plurality of primitives as an abnormal instance of the bodily activity.

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06-02-2014 дата публикации

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

Номер: US20140039839A1
Принадлежит: Fitbit LLC

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.

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20-02-2014 дата публикации

Device to detect and treat Apneas and Hypopnea

Номер: US20140051938A1
Принадлежит:

A method and apparatus for the treatment of Sleep Apnea events and Hypopnea episodes wherein one embodiment comprises a wearable, belt like apparatus containing a microphone and a plethysmograph. The microphone and plethysmograph generate signals that are representative of physiological aspects of respiration, and the signals are transferred to an imbedded computer. The embedded computer extracts the sound of breathing and the sound of the heart beat by Digital Signal Processing techniques. The embedded computer has elements for determining when respiration parameters falls out of defined boundaries for said respiration parameters. This exemplary method provides real-time detection of the onset of a Sleep Apnea event or Hypopnea episode and supplies stimulation signals upon the determination of a Sleep Apnea event or Hypopnea episode to initiate an inhalation. In one embodiment, the stimulus is applied to the patient by a cutaneous rumble effects actuator and/or audio effects broadcasting. 1. An apparatus comprising:a Microphone disposed proximal to a patient for sensing and conveying data indicative of respiration and providing corresponding signals;a Plethysmograph for sensing and conveying data indicative of respiration and providing corresponding signals;a computer configured for processing signals generated by the Microphone and Plethysmograph and generating a control signal in response thereto;a patient stimulator, responsive to said computer control signal, comprising at least one of a mechanical tactile sensory stimulator,an audio effects broadcaster,a speaker, anda Bluetooth Ear-bud.2. The apparatus of claim 1 , wherein said Plethysmograph is a resistive Plethysmograph.3. A method claim 1 , comprising:detecting patient respiration with a microphone and generating corresponding signals;detecting patient respiration with a plethysmograph and generating corresponding signals;processing said microphone signals and said plethysmograph signals and including ...

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20-02-2014 дата публикации

Mitral Valve Detection for Transthoracic Echocardiography

Номер: US20140052001A1
Принадлежит:

A mitral valve is detected in transthoracic echocardiography. The ultrasound transducer is positioned against the chest of the patient rather than being inserted within the patient. While data acquired from such scanning may be noisier or have less resolution, the mitral valve may still be automatically detected. Using both B-mode data representing tissue as well as flow data representing the regurgitant jet, the mitral valve may be detected automatically with a machine-learnt classifier. A series of classifiers may be used, such as determining a position and orientation of a valve region with one classifier, determining a regurgitant orifice with another classifier, and locating mitral valve anatomy with a third classifier. One or more features for some of the classifiers may be calculated based on the orientation of the valve region. 1. A method for detecting a mitral valve in transthoracic echocardiography , the method comprising the acts of:scanning, with a transducer adjacent a patient, a cardiac region of a patient with ultrasound;detecting, with a B-mode detector and in response to the scanning, B-mode data representing tissue in the cardiac region;estimating, with a flow estimator and in response to the scanning, flow data representing fluid in the cardiac region, the flow data comprising energy, velocity, or energy and velocity;calculating, with a processor, feature values from both the B-mode data and the flow data;applying, with the processor, the feature values from both the B-mode data and the flow data to a first machine-learnt classifier, the first machine-learnt classifier indicating a global region of the mitral valve, the mitral valve comprising a tissue structure;applying, with the processor, the feature values from both the B-mode data and the flow data to a second machine-learnt classifier, the second machine learnt classifier indicating a regurgitant orifice, the regurgitant orifice constrained to be within the global region of the mitral valve ...

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13-03-2014 дата публикации

Methods and systems for selectively filtering a physiological signal

Номер: US20140073862A1
Принадлежит: Nellcor Puritan Bennett LLC

A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may apply a digital filter to the physiological signal to assist in the determination of the physiological information. The system may determine a metric based on the physiological signal, and selectively apply the digital filter to the physiological signal based on the metric. The digital filter, which may include two or more filter coefficients, may correspond to a weighted sum of the physiological signal and a difference signal corresponding to the physiological signal. The filter coefficients may be adjustable, allowing selectivity in the characteristics of the digital filter between weighting the physiological signal and difference signal.

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13-03-2014 дата публикации

Methods and systems for qualifying calculated values based on a statistical metric

Номер: US20140073865A1
Принадлежит: Nellcor Puritan Bennett LLC

A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may receive a calculated value indicative of a physiological rate. The system may generate value pairs from a first collection of values of the physiological signal and another collection of corresponding value of the physiological signal spaced from the first collection based on the calculated value. The system may determine a best fit linear relationship based on the value pairs and determine at least one statistical metric based on the linear relationship and the value pairs. The system may qualify or disqualify the calculated value based on the at least one statistical metric.

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13-03-2014 дата публикации

GLUCOSE PREDICTOR BASED ON REGULARIZATION NETWORKS WITH ADAPTIVELY CHOSEN KERNELS AND REGULARIZATION PARAMETERS

Номер: US20140073892A1
Принадлежит: Novo Nordisk A/S

The invention relates to a method and a device for predicting a glycaemic profile of a subject. A multistage algorithm is employed comprising a prediction setting stage specifying a functional space for the prediction and a prediction execution stage specifying a predicted future glycaemic state of the subject in the functional space as a continuous function of time. 2. A device according to claim 1 , wherein the prediction setting stage specifies the functional space based on the information received by the input device.3. A device according to claim 1 , wherein the specified continuous function of time depends on a reproducing kernel and a regularization parameter claim 1 , and wherein the prediction setting stage is adapted to determine the reproducing kernel and an initial value of the regularisation parameter.4. A device according to claim 1 , wherein the prediction setting stage comprises:a labelling of data segments containing information received by the input device, anda determination of a kernel and an initial regularization parameter based on respective labels of the data segments, and wherein the prediction execution stage specifies a predicted glycaemic state by using the determined kernel and initial regularization parameter to construct the continuous function of time.5. A device according to claim 4 , wherein the labelling of data segments comprises a linear fitting claim 4 , and wherein the suggestion of a kernel and an initial regularization parameter is based on respective coefficients of the linear fit.6. A device according to claim 4 , wherein the continuous function of time is constructed by a regularized learning algorithm in a reproducing kernel Hilbert space.7. A device according to claim 6 , wherein the reproducing kernel Hilbert space is selected based on a data pool of training data segments claim 6 , each training data segment being indicative of a physiologic condition of a subject at respective points in time.8. A device according to ...

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13-03-2014 дата публикации

NON-LINEAR FILTERING FOR THE RECONSTRUCTION OF A SURFACE ELECTROCARDIOGRAM FROM AN ENDOCARDIAL ELECTROGRAM

Номер: US20140073894A1
Автор: Makdissi Alaa
Принадлежит: SORIN CRM S.A.S.

An active medical device using non-linear filtering for the reconstruction of a surface electrocardiogram (ECG) from an endocardial electrogram (EGM) is disclosed. The device for the reconstruction of the surface ECG comprises: a plurality of inputs, receiving a corresponding plurality of EGM signals from endocardial or epicardial electrogram (x[n], x[n]), each collected on a respective EGM derivation of a plurality of EGM derivations, and at least one output delivering a reconstructed surface ECG electrocardiogram signal (y[n]), related to an ECG derivation, and a non-linear digital filter () with a transfer function that determines the reconstructed ECG signal based on said plurality of input EGM signals. The non-linear digital filter includes a Volterra filter type (″) whose transfer function includes a linear term (h1) and at least one quadratic (h2) and/or cubic (h3) term(s). 1. A device for processing signals representative of a cardiac potential of depolarization of the myocardium for reconstruction of a surface electrocardiogram (ECG) , comprising:{'sub': 1', '2', 'Q, 'b': '10', 'a plurality of inputs, corresponding to a plurality of EGM signals from endocardial or epicardial electrogram (x, x. . . x,) each acquired on a respective EGM derivation of a plurality of EGM derivations ();'}{'b': '16', 'at least one output delivering a reconstructed surface electrocardiogram ECG signal (yj), relative to an ECG () derivation; and'}{'sub': 1', '2', 'Q', '1', '2', '3, 'b': 12', '14', '12', '12', '14', '12', '52, 'a non-linear digital filter including a Volterra type filter (F, F. . . F) (, , ′, ″, , , ) with a transfer function that reconstructs said ECG signal derivation based on said plurality of inputs, said transfer function including a linear term (h) and at least one quadratic (h) and/or cubic (h) term(s).'}2. The device of claim 1 , wherein the transfer function of the non-linear digital filter further comprises at least a finite time delay (z).3. The device ...

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13-03-2014 дата публикации

Methods and systems for determining algorithm settings based on classification information

Номер: US20140073964A1
Принадлежит: Nellcor Puritan Bennett LLC

A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may determine a first metric value indicative of a physiological classification based on the physiological signal. An algorithm setting may be determined based on the physiological classification. The system may determine a second metric value indicative of a different physiological classification based on the physiological signal. A different algorithm may be determined based on the different physiological classification. The algorithm setting may, for example, affect the amount of filtering applied to the physiological signal.

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13-03-2014 дата публикации

MOBILE CARDIAC HEALTH MONITORING

Номер: US20140073969A1
Автор: Chuang Cheng-I, Luo An, ZOU Rui
Принадлежит:

Techniques for mobile cardiac health monitoring are disclosed. In some embodiments, a system for mobile cardiac health monitoring includes a mobile device that includes a processor configured to receive a first set of data from an optical sensor; receive a second set of data from an electrical sensor; and perform a plurality of cardiac health measurements using the first set of data from the optical sensor and the second set of data from the electrical sensor. 1. A system for mobile cardiac health monitoring , comprising: receive a first set of data from an optical sensor;', 'receive a second set of data from an electrical sensor; and', 'perform a plurality of cardiac health measurements using the first set of data from the optical sensor and the second set of data from the electrical sensor; and, 'a processor of a mobile device, wherein the processor is configured toa memory coupled to the processor and configured to provide the processor with instructions.2. The system recited in claim 1 , wherein the electrical sensor includes an electrocardiography (ECG) sensor claim 1 , and wherein the plurality of cardiac health measurements includes one or more of following: ECG claim 1 , heart rate claim 1 , blood pressure claim 1 , and cardiac output.3. The system recited in claim 1 , wherein the electrical sensor is integrated in a case for the mobile device.4. The system recited in claim 1 , wherein the electrical sensor is integrated with the mobile device.5. The system recited in claim 1 , wherein the processor is further configured to:control a resolution and sampling rate of the optical sensor.6. The system recited in claim 1 , wherein the processor is further configured to:determine a blood pressure and a cardiac output related index of a user using the first set of data from the optical sensor and the second set of data from the electrical sensor.7. The system recited in claim 1 , wherein the processor is further configured to:determine a Pulse Wave Transit Time ( ...

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20-03-2014 дата публикации

PROVISION OF ATYPICAL BRAIN ACTIVITY ALERTS

Номер: US20140081090A1
Принадлежит: AFFECTIVA, INC.

Computer-implemented techniques are disclosed for analyzing physiology data captured by biosensors and for providing alerts based on the biosensor data. The biosensor data is captured non-invasively and is analyzed to identify atypical brain activity that can result from illness, injury, disease, and seizures. The biosensor data can include electrodermal activity, skin temperature, and accelerometer data. The data is sent to a web service for analysis, and to determine whether an alert should be generated. The alerts, based on the biosensor data captured from the individual, are received from the web service. An output related to physiology is rendered based on an alert being received from the web service. 1. A computer-implemented method for physiology analysis comprising:capturing biosensor data from a person;sending the biosensor data to a mobile device;providing the biosensor data to a cloud-computing environment;processing the biosensor data to identify atypical brain activity; andproviding an alert based on the atypical brain activity that was detected.2. The method of wherein the biosensor data includes one or more of electrodermal activity claim 1 , accelerometer data claim 1 , and skin temperature.3. The method of wherein the processing is performed in the cloud-computing environment.4. The method of wherein the mobile device is incorporated as part of a biosensor.5. The method of wherein the atypical brain activity comprises a SUDEP risk claim 1 , an epileptiform seizure claim 1 , a drug reaction claim 1 , stress claim 1 , depression claim 1 , compulsive behavior claim 1 , ictal brain activity claim 1 , inter-ictal brain activity claim 1 , a tonic-clonic seizure claim 1 , a partial complex seizure claim 1 , pain claim 1 , anxiety claim 1 , a panic attack claim 1 , an epileptic seizure claim 1 , a sleep disorder claim 1 , a respiratory sleep problem claim 1 , an heart attack claim 1 , a reaction to medication claim 1 , a bipolar attack claim 1 , distracted ...

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20-03-2014 дата публикации

PREDICTING NEAR-TERM DETERIORATION OF HOSPITAL PATIENTS

Номер: US20140081092A1
Автор: McNair Douglas S.
Принадлежит: CERNER INNOVATION, INC.

Methods, systems, and computer storage media are provided for predicting a probability of acute deterioration for a specific patient. Various discrete measurements are taken regarding the patient's current health. Those measurements are used to determine a PPOD score, which is displayed for clinicians. 1. Computer storage media , not being a signal per se , storing computer-usable instructions that , when executed by one or more computing devices , cause the one or more computing devices to perform a method for determining a probability of acute deterioration for a particular patient , the method comprising:receiving patient information comprising a plurality physiological measurements for a patient in anatomically challenged and unchallenged positions;conditioning the patient information to create conditioned patient information; andbased on the conditioned patient information, determining a statistical probability of acute deterioration for the patient.2. The media of claim 1 , wherein the physiological measurements comprise systolic blood pressure (SBP) measurements and heart-rate measurements for the patient.3. The media of claim 2 , wherein the physiological measurements for the patient in anatomically challenged and unchallenged positions are derived from the patient in a supine position and a tilted position claim 2 , respectively.4. The media of further comprising selectively providing a notification based on the determined statistical probability of acute deterioration.5. The media of claim 1 , wherein the plurality of physiological measurements comprises a timeseries of measurements with timeseries intervals greater than 30 minutes.6. The media of claim 1 , wherein conditioning the patient information includes determining an index of deviation of the patient's current SBP from the patient's usual SBP.7. The media of claim 6 , wherein conditioning the patient information further includes determining a baroreceptor reflex sensitivity (BRS).8. The media of ...

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20-03-2014 дата публикации

Method and system for on-line decision making support

Номер: US20140081115A1
Автор: Haisong Gu
Принадлежит: Konica Minolta Laboratory USA Inc

A method for on-line decision making support, which includes sensing biological signals of a subject upon detection of a decision making process during a performance of a task, and recording biological activity of the subject. Upon completing the decision making process, the recorded biological activity is released to a data processing system for analysis, which compares the recorded biological activity with a profile model for the subject and calculates a confident value for the recorded biological activity against the profile model for the subject. If the confident value does not meet a predefined threshold, a post-processing procedure is performed, wherein the predefined threshold represents a desired performance of the subject on the task.

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27-03-2014 дата публикации

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

Номер: US20140088378A1
Автор: Muzet Alain Gilles
Принадлежит: V-WATCH SA

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 ...

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27-03-2014 дата публикации

Noninvasive method for determining the presence of systemic hypertension in a subject

Номер: US20140088441A1

A non-invasive method for determining and characterizing the presence of damage or abnormalities resulting from or concomitant with systemic hypertension in subject. This method is comprised of the acquisition of ocular image(s) and subsequent evaluation, classification and/or interpretation of these image(s). The ocular image(s) may be acquired by photography. Evaluation, classification, and/or interpretation may be automated or involve the active participation of a human. The ocular images may be classified into either a normal or clinical group or compared to an algorithm of hypertensive symptoms. The ocular images may, additionally, be processed and have the pertinent characteristics extracted to make the classification more exact.

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27-03-2014 дата публикации

METHOD AND SYSTEM FOR DETERMINING THE FITNESS INDEX OF A PERSON

Номер: US20140088444A1
Принадлежит: Firstbeat Technologies Oy

The invention relates to a method and system for determining the cardiorespiratory fitness level of a person, with the aid of freely performed exercise in which training: •the physiological intensity of the person is measured periodically during the exercise session () •the external work output of the exercise session is measured simultaneously relative to the measured intensity (), •from each period's measured intensity value and external work output, the representativeness of the values measured is determined (), in order to determine the fitness level using the following criteria: ∘the physiological intensity should be stabilized relative to the external work output, ∘the external work output should be within a selected range, ∘the physiological intensity should be greater than a selected lower limit, in which case, a fitness level estimate is defined () for each accepted period as well as a fitness from several estimates. 2. Method according to claim 1 , characterized in thata variable, such as the EPOC value, depicting the change in cumulative homeostasis, is calculated continuously, andthe value of the variable depicting homeostasis should be increasing, in order for the period to be accepted.4. System according to claim 3 , characterized in that claim 3 , in terms of determining the fitness level claim 3 , the representative periods are those periods that have the following properties:the physiological intensity must have stabilized relative to the external work output,the external work output must be within a preselected range, andthe physiological intensity must be greater than a set criterion (x % HRmax).5. System according to claim 4 , characterized in that the system includes means for calculating continuously a variable claim 4 , depicting the change in cumulative homeostasis claim 4 , in which case the fourth means are arranged to accept periods claim 4 , in which the variable depicting the change in homeostasis is increasing.6. System according to ...

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05-01-2017 дата публикации

SYSTEM AND METHOD OF AUTOMATIC CLASSIFICATION OF ANIMAL BEHAVIORS

Номер: US20170000081A1
Принадлежит: MOUSERA, INC

The field of this invention is classifying animal behaviors. In particular the fields of this invention include using animals in vivariums, such as rodents, particularly mice. Animal behaviors are classified according to behaviors consistent with healthy or unhealthy organs or locations within organs, such as the brain. Injected neoplastic cells may be used to create an unhealthy organ or location within an organ. Classifications also include responses to different therapies. The behavior of the animals is observed using fully automatic, continuous monitoring using per-cage sensors, where behavior recording is free of human, manual actions. Observed behavior is consistent with healthy or unhealthy behaviors specific to the injection site. Both positive and negative baseline behaviors are collected, typically using the same system or method. Classification is responsive to differences between treated and untreated animals, comparing to both the positive and negative baselines, using multi-dimensional analysis. 1. A system for automatically classifying animal behaviors comprising:a vivarium comprising a first set of one or more animals in a plurality of cages;wherein a first subset of the first set animals receive by injection a first quantity of cells of the first neoplasm type in a first location in a first organ in each animal in the first subset of animals;a set of negative baseline behaviors; wherein the set of negative baseline behaviors are behaviors compatible with the first set of animals receiving no injection of cells of the first neoplasm type and no therapeutic treatment;a set of positive baseline behaviors, wherein the set of positive baseline behaviors are consistent with unhealthy functioning of the first location of the first organ of the first set of animals;at least one sensor proximal to each cage adapted to detect and communicate one or more behaviors of at least some of the first set of animals, the “communicated behaviors”;wherein a second ...

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04-01-2018 дата публикации

WIRELESS MONITORING OF SAFETY HELMETS

Номер: US20180000183A1
Автор: II Robert R., MILLER
Принадлежит:

Remote monitoring of a subject wearing a sports helmet is enabled. In one aspect, an example system includes a safety helmet and a sensor integrated with the helmet for continuously gathering head acceleration force data, the head acceleration force data associated with the head movements of a subject. The system can also include a wireless transceiver coupled to the sensor for transmitting the head acceleration force data and a mobile device for receiving the head acceleration force data from the wireless transceiver. The system can further include a database engine for displaying the head acceleration force data to a user. 1. A system , comprising:a processor; and receiving, from a sensor of a device via a wireless transceiver of the device, biometric data associated with a movement of a body determined to be associated with a subject identity, wherein the device has been determined to be worn on the body; and', 'displaying the biometric data on a time axis via a display of the system, wherein the time axis represents a time varying characteristic of the biometric data., 'a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising2. The system of claim 1 , wherein the biometric data represents a stress level of the body.3. The system of claim 1 , wherein the biometric data represents a moisture content of the body.4. The system of claim 1 , wherein the biometric data represents a toxin level of the body.5. The system of claim 1 , wherein the operations further comprise:based on the biometric data, determining whether teeth of the body have been closed together.6. The system of claim 1 , wherein operations further comprise:based on the biometric data, determining whether an arm of the body has been cocked.7. The system of claim 1 , wherein the device has been positioned within clothing determined to be worn on the body.8. The system of claim 1 , wherein the device has been positioned within a ...

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03-01-2019 дата публикации

REFLECTIVE SURFACES FOR PPG SIGNAL DETECTION

Номер: US20190000331A1
Автор: HAN Chin San
Принадлежит:

Reflective surfaces for the apertures of PPG optical components in PPG systems is disclosed. In a PPG system or device, the addition of reflective surfaces around, under, or near the apertures of the optical components can enhance the amount of light received by the light detector. As a result, the measured PPG signal strength can be higher and more accurate compared to the same PPG device without reflective surfaces. The reflective surfaces can reflect and/or recycle light that is incident upon the reflective surfaces back into the skin for eventual capture of the light by the light detectors. In some examples, the reflective surfaces can be diffuse or specular reflectors and/or can be configured to selectively reflect one or more wavelengths of light. In some examples, the back crystal and/or component mounting plane of the PPG system can be made of the same material as the reflective surfaces. 1. An electronic device comprising:a plurality of light emitters for emitting first light; a plurality of first cavities through which the first light is emitted, and', 'a plurality of first reflectors circumferentially surrounding the plurality of first cavities;, 'a light emitting section includinga plurality of light sensors for receiving second light; and a plurality of second cavities through which the second light is received, and', 'a plurality of second reflectors circumferentially surrounding the plurality of second cavities., 'a light sensing section including2. The electronic device of claim 1 , wherein the light emitting section further includes a plurality of first windows claim 1 , and the light sensing section further includes a plurality of second windows.3. The electronic device of claim 2 , further comprising:an optical isolation located between the plurality of first cavities and the plurality of second cavities,wherein the plurality of first reflectors is located between the optical isolation and the plurality of first windows, andwherein the plurality ...

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03-01-2019 дата публикации

DETECTING AND PREDICTING AN EPILEPTIC SEIZURE

Номер: US20190000336A1

A method for detecting and predicting an epileptic seizure. The method includes preparing a plurality of electrical signals, extracting a plurality of patterns from the plurality of electrical signals, extracting a plurality of features from the plurality of electrical signals by applying the plurality of patterns on the plurality of electrical signals, optimizing the plurality of patterns and the plurality of features, and classifying each of the plurality of electrical signals in a plurality of classes by applying a plurality of classifiers on the plurality of features. The plurality of electrical signals include a plurality of samples. The plurality of classes include a seizure class and a non-seizure class, and the plurality of classifiers include a plurality of cascaded AdaBoost classifiers. 1. A method for detecting and predicting an epileptic seizure , the method comprising:preparing a plurality of electrical signals including a plurality of samples;extracting a plurality of patterns from the plurality of electrical signals;extracting a plurality of features from the plurality of electrical signals by applying the plurality of patterns on the plurality of electrical signals;optimizing the plurality of patterns and the plurality of features; andclassifying each of the plurality of electrical signals in a plurality of classes by applying a plurality of classifiers on the plurality of features, the plurality of classes including a seizure class and a non-seizure class, and the plurality of classifiers including a plurality of cascaded AdaBoost classifiers.2. The method of claim 1 , wherein preparing the plurality of electrical signals includes:acquiring a plurality of electroencephalography (EEG) signals via a plurality of EEG channels;band-pass filtering each of the plurality of EEG signals based on a Kaiser-Bessel windowing procedure; andsynchronizing the plurality of EEG signals by an event-based approach.3. The method of claim 1 , wherein extracting the ...

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02-01-2020 дата публикации

Gait Analysis Devices, Methods, and Systems

Номер: US20200000373A1
Принадлежит: Columbia University of New York

A quantitative gait training and/or analysis system employs instrumented footwear and an independent processing module. The instrumented footwear may have sensors that permit the extraction of gait kinematics in real time and provide feedback from it. Embodiments employing calibration-based estimation of kinematic gait parameters are described. An artificial neural network identifies gait stance phases in real-time.

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02-01-2020 дата публикации

WIRELESS AND RETROFITTABLE IN-SHOE SYSTEM FOR REAL-TIME ESTIMATION OF KINEMATIC AND KINETIC GAIT PARAMETERS

Номер: US20200000375A1
Принадлежит:

A quantitative gait training and/or analysis system includes one or more footwear modules that may include a piezoresistive sensor, an inertial sensor and an independent logic unit. The footwear module functions to permit the extraction of gait kinematics and evaluation thereof in real time, or data may be stored for later reduction and analysis. Embodiments relating to calibration-based estimation of kinematic gait parameters are described. 1. A gait measurement system , comprising:at least one insole module for placement in a shoe of a user, each of said at least one insole module including a piezoresistive sensor, an inertial sensor, a logic unit communicatively coupled to said piezoresistive sensor and to said inertial sensor, and a transmission unit; anda computing unit communicatively coupled to said inertial sensor and said piezoresistive sensor via said transmission unit.2. The gait measurement system of claim 1 , wherein said piezoresistive sensor includes a plurality of pressure-sensing cells.3. The gait measurement system of claim 2 , wherein said plurality of pressure-sensing cells includes eight of said cells.4. The gait measurement system of claim 2 , wherein at least some of said plurality of pressure-sensing cells are located beneath a user's calcaneous claim 2 , a user's lateral arch claim 2 , a head of a user's first metatarsal claim 2 , a head of a user's third metatarsal claim 2 , a head of a user's fifth metatarsal claim 2 , a user's hallux and a user's toes.5. The gait measurement system of claim 1 , wherein each of said at least one insole module is adapted to be retrofitted to a shoe of a user.6. The gait measurement system of claim 1 , wherein said inertial sensor has nine-degrees of freedom.7. The gait measurement system of claim 1 , wherein said inertial sensor is located along a portion of said at least one insole module corresponding to a midline of a user's foot.8. The gait measurement system of claim 1 , wherein each of said at least ...

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07-01-2016 дата публикации

NON-TOUCH OPTICAL DETECTION OF VITAL SIGNS FROM AMPLIFIED VISUAL VARIATIONS

Номер: US20160000327A1
Принадлежит: Arc Devices, LTD

A microprocessor is operably coupled to a camera from which patient vital signs are determined. A temporal-variation-amplifier of at least two images is operable to generate a temporal variation, a vital-sign generator is operable to generate at least one vital sign from the temporal variation and a display device is operable to display the at least one vital sign. 1. An apparatus of motion amplification to communicate biological vital signs , the apparatus comprising:a skin-pixel-identifier that identifies pixel values that are representative of the skin in at least two images;a spatial bandpass filter that is operably coupled to the skin-pixel-identifier and that processes output of the skin-pixel-identifier;a regional facial clusterial module that is operably coupled to the spatial bandpass filter and that applies spatial clustering to the output of the spatial bandpass filter;a temporal bandpass filter that is operably to the regional facial clusterial module and that is applied to output of the regional facial clusterial module;a temporal-variation identifier that is operably coupled to the temporal bandpass filter and that identifies temporal variation of the output of the temporal bandpass filter;a vital-sign generator that is operably coupled to the temporal-variation identifier that generates at least one vital sign from the temporal variation; anda display device that is operably coupled to the vital-sign generator that is operable to display the at least one vital sign.2. The apparatus of claim 1 , wherein the skin-pixel-identifier further comprises:an automatic seed point based clustering apparatus.3. The apparatus of claim 1 , wherein the regional facial clusterial module further comprises:a fuzzy clusterer.4. The apparatus of claim 1 , wherein the spatial bandpass filter further comprises:a one-dimensional spatial Fourier Transformation apparatus.5. The apparatus of claim 1 , wherein the spatial bandpass filter further comprises:a high pass filter.6. ...

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07-01-2016 дата публикации

NON-TOUCH OPTICAL DETECTION OF VITAL SIGNS FROM AMPLIFIED VISUAL VARIATIONS OF REDUCED IMAGES

Номер: US20160000328A1
Принадлежит: Arc Devices, LTD

A microprocessor is operably coupled to a camera from which patient vital signs are determined from reduced images. A temporal-variation-amplifier of at least two reduced images is operable to generate a temporal variation, a vital-sign generator is operable to generate at least one vital sign from the temporal variation and a display device is operable to display the at least one vital sign. 1. An apparatus of motion amplification to communicate biological vital signs , the apparatus comprising:a cropper that is operable to receive at least two images and crop the image to exclude a border area of the images, generating at least two cropped images;a skin-pixel-identifier that is operably coupled to the cropper and that identifies pixel values that are representative of the skin in at least two cropped images;a first frequency filter that is operably coupled to the skin-pixel-identifier and that applies a frequency filter to output of the skin-pixel-identifier;a regional facial clusterial module that is operably coupled to the first frequency filter and that applies spatial clustering to the output of the first frequency filter; —a second frequency filter that is operably regional facial clusterial module and that is applied to the output of the regional facial clusterial module;a temporal-variation identifier that is operably coupled to the second frequency filter and that identifies temporal variation of the output of the second frequency filter;a vital-sign generator that is operably coupled to the temporal-variation identifier that generates at least one vital sign from the temporal variation; anda display device that is operably coupled to the vital-sign generator that is operable to display the at least one vital sign.2. The apparatus of claim 1 , wherein the regional facial clusterial module further comprises:a fuzzy clusterer.3. The apparatus of claim 1 , wherein the first frequency filter further comprises:a one-dimensional spatial Fourier Transformation ...

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07-01-2016 дата публикации

APPARATUS OF NON-TOUCH OPTICAL DETECTION OF VITAL SIGNS OF REDUCED IMAGES FROM SPATIAL AND TEMPORAL FILTERS

Номер: US20160000331A1
Принадлежит: Arc Devices, LTD

A microprocessor is operably coupled to a camera from which patient vital signs are determined. A temporal variation of images from the camera is generated and amplified from which the patient vital sign, such as heart rate or respiratory rate, can be determined and displayed or stored. 1. An apparatus of motion amplification to communicate biological vital signs , the apparatus comprising:a cropper that is operable to receive at least two images and operable to crop the images to exclude a border area of the images, generating at least two cropped images;a temporal-variation-amplifier of the at least two cropped images that is operable to generate a temporal variation;a vital-sign generator that is operably coupled to the temporal-variation-amplifier that is operable to generate at least one vital sign from the temporal variation; anda display device that is operably coupled to the vital-sign generator that is operable to display the at least one vital sign.2. The apparatus of claim 1 , wherein the temporal-variation-amplifier further comprises:a skin-pixel-identifier that identifies pixel values that are representative of the skin in the at least two images; anda first frequency filter that is operably coupled to the skin-pixel-identifier and that is applied to output of the skin-pixel-identifier.3. The apparatus of claim 2 , wherein the temporal-variation-amplifier further comprises:a regional facial clusterial module that is operably coupled to the first frequency filter and that applies spatial clustering to the output of the first frequency filter; anda second frequency filter that is operably regional facial clusterial module and that is applied to output of the regional facial clusterial module, generating the temporal variation.4. The apparatus of claim 2 , wherein the regional facial clusterial module further comprises:a fuzzy clusterer.5. The apparatus of claim 2 , wherein the first frequency filter further comprises:a one-dimensional spatial Fourier ...

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03-01-2019 дата публикации

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM

Номер: US20190000389A1
Автор: Hikida Satoshi
Принадлежит:

An information processing device, an information processing method, and a recording medium storing an information processing program. The information processing device and the information processing method include obtaining measurement data, accepting a specification of time in the measurement data as a specified time, reducing noise from the measurement data using each one of a plurality of methods, evaluating a result of noise reduction at the specified time, the noise reduction being performed using each one of the plurality of methods, and selecting one of the plurality of methods based on the evaluated result of noise reduction. The recording medium storing the information processing program for causing a computer to execute the information processing method. 1. An information processing device comprising circuitry configured to:obtain measurement data;accept a specification of time in the measurement data as a specified time;reduce noise from the measurement data using each one of a plurality of methods;evaluate a result of noise reduction at the specified time, the noise reduction being performed for the measurement data using each one of the plurality of methods; andselect one of the plurality of methods based on the evaluated result of noise reduction.2. The information processing device according to claim 1 , wherein at least one of an algorithm and strength of the noise reduction is different from each other in the plurality of methods.3. The information processing device according to claim 1 , wherein the measurement data is data of a brain wave claim 1 , andwherein the circuitry accepts, on a screen displaying the brain wave, the specification of time at which a spike in waveform of the brain wave is recorded due to epileptic seizure.4. The information processing device according to claim 1 , wherein the circuitry further:calculates a degree of approximation between a prescribed magnetic field and a magnetic field caused by a dipole estimated from the ...

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07-01-2016 дата публикации

THERMOMETER HAVING A DIGITAL INFRARED SENSOR

Номер: US20160000337A1
Принадлежит: Arc Devices, LTD

A microprocessor is operably coupled to a digital infrared sensor from which temperature is determined from the digital infrared sensor. 1. A non-touch thermometer to measure temperature , the non-touch thermometer comprising:a microprocessor;a battery operably coupled to the microprocessor;a single button operably coupled to the microprocessor;a camera operably coupled to the microprocessor and providing at least two images to the microprocessor;a digital infrared sensor operably coupled to the microprocessor with no analog-to-digital converter operably coupled between the digital infrared sensor and the microprocessor, the digital infrared sensor having only digital readout ports, the digital infrared sensor having no analog sensor readout ports; anda display device operably coupled to the microprocessor,wherein the microprocessor is operable to receive from the digital readout ports a digital signal that is representative of an infrared signal detected by the digital infrared sensor and the microprocessor is operable to determine the temperature from the digital signal that is representative of the infrared signal.2. The non-touch thermometer of claim 1 , wherein the display device further comprises:a green traffic light operable to indicate that the temperature is good;an amber traffic light operable to indicate that the temperature is low; anda red traffic light operable to indicate that the temperature is high.3. The non-touch thermometer of further comprising:the microprocessor including a pixel-examination-module configured to examine pixel values of the at least two images, a temporal-variation module to determine temporal variation of the pixel values between the at least two image, a signal processing module configured to amplify the temporal variation resulting in amplified temporal variation, and a visualizer to visualize a pattern of flow of blood in the amplified temporal variation in the at least two images.4. The non-touch thermometer of claim 3 , ...

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07-01-2021 дата публикации

Method and system for screening and monitoring of cardiac diseases

Номер: US20210000356A1
Принадлежит: Tata Consultancy Services Ltd

Embodiments herein provide a system and method for screening and monitoring of cardiac diseases by analyzing acquired physiological signals. Unlike state of art approaches that consider only synchronized ECG and PPG signals for cardiac health analysis and do not consider PCG which is a critical signal for CAD analysis, the system synchronously captures physiological signals such as photo plethysmograph (PPG), phonocardiogram (PCG) and electrocardiogram (ECG) from subject(s) and builds an analytical model in the cloud for analyzing heart conditions from the captured physiological signals. The system and method provides a fusion based approach of combining the captured physiological signals such as PPG, PCG and ECG along with other details such as subject clinical information, demography information and so on. The analytical model is pretrained using ECG. PPG and PCG along with metadata associated with the subject such as demography and clinical information.

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07-01-2021 дата публикации

SYSTEMS AND METHODS FOR A SKULL LAMB WAVES INTRACRANIAL PRESSURE MONITOR

Номер: US20210000359A1
Принадлежит: EpilepsyCo Inc.

In some aspects, the described systems and methods provide for a method comprising transmitting to a skull of a patient, with at least one transducer, acoustic signals. The method further comprises receiving from the skull, with the at least one transducer, data acquired from the skull including information related to guided waves, distribution of acoustic modes, frequency response, and/or impulse/transient response. The method further comprises determining, from the acquired data, intracranial pressure of the person. 1. A method comprising:transmitting to a skull of a patient, with at least one transducer, acoustic signals;receiving from the skull, with the at least one transducer, data acquired from the skull including information related to guided waves, distribution of acoustic modes, frequency response, and/or impulse/transient response; anddetermining, from the acquired data, intracranial pressure of the person.2. The method of claim 1 , wherein determining the intracranial pressure includes assessing changes in amplitude claim 1 , bandwidth claim 1 , and/or frequency of the guided waves.3. The method of claim 1 , further including transmitting claim 1 , to an external device with a processor for determining the intracranial pressure claim 1 , the acquired data.4. The method of claim 1 , wherein the at least one transducer includes a first transducer for transmitting the acoustic signals and receiving the acquired data.5. The method of claim 1 , wherein the at least one transducer includes a first transducer for transmitting the acoustic signals and a second transducer for receiving the acquired data.6. A device comprising at least one transducer that transmits to the skull of a person acoustic signals and receives data acquired from the skull including information related to guided waves claim 1 , distribution of acoustic modes claim 1 , frequency response claim 1 , and/or impulse/transient response claim 1 , for determining claim 1 , based on the acquired ...

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02-01-2020 дата публикации

SYSTEMS AND METHODS FOR CLASSIFICATION AND TREATMENT OF DECUBITUS ULCERS

Номер: US20200000398A1
Автор: Curtin Candice Ganey
Принадлежит:

Systems and methods for accurately and efficiently diagnosing, assessing, staging/grading/categorizing, and treating pressure ulcers, as well as preventing reverse staging of pressure ulcers, are disclosed. The system, in one embodiment, ensures that the rationale for the stage assigned to the patient will be in the patients' medical record. The system, in various embodiments, further suggests the pressure ulcer classification and allows the user to choose which classification terms should be used. In various embodiments, the system also allows for the different classification/staging system guidelines to be used, including the National Pressure Ulcer Advisory Panel (NPUAP) guidelines, the European Pressure Ulcer Advisory Panel Guidelines (EPUAP), the Pan Pacific Pressure Injury Alliance, CMS, WHO, and the MDS Guidelines. 1. A method of classifying decubitus ulcers , comprising the steps of:determining whether one or more criteria of a first stage/grade/category decubitus ulcer are presented by a particular wound;if the one or more criteria of the first stage/grade/category decubitus ulcer are presented, classifying the particular wound as the first stage/grade/category decubitus ulcer and generating a recommended treatment corresponding to the first stage/grade/category for the particular wound;if the one or more criteria of a first stage/grade/category decubitus ulcer are not presented, determining whether one or more criteria of a second stage/grade/category decubitus ulcer are presented by the particular wound;if the one or more criteria of the second stage/grade/category decubitus ulcer are presented, classifying the particular wound as the second stage/grade/category decubitus ulcer and generating a recommended treatment corresponding to the second stage/grade/category for the particular wound; andif the one or more criteria of the second stage/grade/category decubitus ulcer are not presented, taking a predetermined action with respect to the particular wound. ...

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02-01-2020 дата публикации

TECHNOLOGIES FOR INTRA-OPERATIVE LIGAMENT BALANCING USING MACHINE LEARNING

Номер: US20200000400A1
Принадлежит:

A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning. 1. A computing system comprising:at least one sensor;at least one processor; andat least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to:receive one or more surgical parameters associated with a ligament balancing of a patient's joint;receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint; andapply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.2. The computing system of claim 1 , wherein the at least one sensor comprises a load sensor; andwherein the real-time sensor data is indicative of a force applied to the load sensor by a bone of the patient's joint.3. The computing system of claim 2 , wherein the real-time sensor data is indicative of a plurality ...

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07-01-2021 дата публикации

SYSTEMS, METHODS AND DEVICES FOR SENSING EMG ACTIVITY

Номер: US20210000375A1
Принадлежит: Powell Mansfield, Inc.

Some embodiments of the present disclosure are directed to methods, systems and probe devices for detecting EMG activity. In some embodiments, such methods, systems and devices are used in aiding the diagnosis of Obstruction Sleep Apnea (OSA). In some embodiments, a probe is provided and comprises an elongated member configured with a size and shape for placement adjacent at least one of the soft palate and pharyngeal wall of the patient after insertion of the probe into the patient. The probe may also include at least one sensor configured to sense at least EMG activity of muscle layers of at least one of the soft palate and pharyngeal wall and output sensor signals corresponding thereto. The signals may be monitored for EMG activity, and based on such activity, in some embodiments, a determination of whether the sensor signals of the detected EMG activity correspond to spontaneous EMG activity and/or abnormal motor unit potentials (MUPs). 18-. (canceled)9. A method for aiding in the diagnosis of a condition of a patient comprising:providing a probe comprising a plurality of bipolar surface electrodes arranged in an array on a flexible printed circuit board (FPCB) and configured thereon for placement on the surface of tissue of a patient at a first location and configured to produce first signals responsive to at least EMG activity of at least one muscle and/or muscle layer proximate the first location, wherein the probe is configured with a size and shape to effect placement of the at least one sensor at the first location such that the sensor can detect EMG activity of the at least one muscle;analyzing the first signals, anddetermining whether the first signals correspond to EMG activity of the at least one muscle and/or muscle layer.10. The method of claim 9 , further comprising diagnosing a condition of the patient based upon the determined EMG activity.11. The method of claim 10 , wherein the determined EMG activity corresponds to spontaneous EMG activity and/ ...

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07-01-2016 дата публикации

SYSTEMS AND METHODS FOR EEG MONITORING

Номер: US20160000382A1
Принадлежит:

Systems, devices and methods are described for physiological monitoring, for example monitoring EEG signals to detect the onset or probability of adverse events. The systems, devices and methods discussed herein may monitor received EEG signals to identify trends or patterns in the signal that are either indicative of ongoing seizures or indicative of a future risk of seizure. The systems, devices and methods provide the user with increased control and flexibility in the monitoring processes that produce the alerts. In particular, in some implementations the physician is able to make adjustments during monitoring and customize the process by which EEG data is displayed and analyzed during the patient monitoring without pausing the monitoring to make the adjustments. 1. A method for monitoring EEG signals , comprising:receiving an EEG sensor signal;extracting a plurality of parameters from the received signal;determining, with a processor, an event indicator from the plurality of extracted parameters; the event indicator;', 'the extracted plurality of parameters; and', 'a user selectable option;, 'generating a display screen that includesreceiving a user selection of the option in the display screen; andin response to the user selection, updating the extracted plurality of parameters in the display screen and updating an algorithm used to determine the event indicator.2. The method of claim 1 , wherein the display screen includes a threshold displayed with each of the plurality of extracted parameters claim 1 , the user selectable option comprising a request to change the displayed thresholds.3. The method of claim 2 , wherein the request to change the displayed threshold comprises at least one of a numerical value entry claim 2 , a menu of selectable thresholds claim 2 , and an adjustable threshold cursor.4. The method of claim 1 , wherein the display screen includes an alert for each of the plurality of extracted parameters claim 1 , each alert indicating whether a ...

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07-01-2016 дата публикации

NEUROPHYSIOLOGICAL MONITORING FOR PROSPECTIVE MOTION GATING IN RADIOLOGICAL IMAGING

Номер: US20160000383A1
Принадлежит:

A system, method and non-transitory computer-readable storage medium for monitoring motion during medical imaging. The monitoring of the motion includes initiating an acquisition of image data, measuring physiological signals of a patient, generating a prediction signal by integrating the physiological signals, determining whether patient motion is likely to occur based on the prediction signal and modifying the acquisition of image data, if it is predicted that patient motion is likely to occur. 1. A method for monitoring motion during medical imaging , comprising:initiating an acquisition of image data;measuring physiological signals of a patient;generating a prediction signal by integrating the physiological signals;determining whether patient motion is likely to occur based on the prediction signal; andmodifying the acquisition of image data, if it is predicted that patient motion is likely to occur.2. The method of claim 1 , further comprising:extracting a study information for a requested medical image to determine a motion tolerance indicator indicating a tolerated range of motion of the patient.3. The method of claim 2 , wherein the study information includes one of body part claim 2 , modality claim 2 , protocol claim 2 , resolution and view.4. The method of claim 1 , wherein the physiological signals are integrated over time by one of (i) averaging over a period preceding a prediction claim 1 , (ii) determining a minimum claim 1 , maximum or median claim 1 , and (iii) calculating a standard deviation.5. The method of claim 1 , wherein the physiological signals are integrated across signal types via a mathematical function.6. The method of claim 5 , further comprising:a machine learning algorithm defining the mathematical function, wherein the machine learning algorithm is trained with one of (i) prior patient data including known signal values and occurrence or non-occurrence of subsequent patient motion within a fixed or adaptive time frame and (ii) ...

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04-01-2018 дата публикации

NONINVASIVE METHOD AND SYSTEM FOR ESTIMATING MAMMALIAN CARDIAC CHAMBER SIZE AND MECHANICAL FUNCTION

Номер: US20180000374A1
Принадлежит:

The present disclosure generally relates to systems and methods and systems of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z), or 10-channel data, for 30 to 800 seconds, to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the data. 119.-. (canceled)20. A system to noninvasively estimate a subject's cardiac chamber size and cardiac mechanical function , including left ventricular ejection fraction , the system comprising:a processor; and ["obtain orthogonal data from an acquired measurement of one more surface electrical signals of the subject, wherein the orthogonal data have been obtained from measurements acquired via noninvasive equipment configured to measure electrical properties of the subject's heart;", 'determine, via a numerical integral operation of one or more vectorcardiogram components associated with a vectorcardiogram of the orthogonal data, at least one value of one or more first parameters selected from the group consisting of a sum QRST integral parameter, a 3D volume integral parameter, a spatial QRST angle parameter, a 3D QRS loop volume parameter, a 3D T-loop volume parameter, a spatial ventricular gradient parameter, a spatial ventricular gradient azimuth parameter, and a spatial ventricular gradient elevation parameter;', 'determine at least one value of an estimated cardiac chamber size parameter by applying the at least one value of the one or more first parameters and the at least one value of the one or more second parameters in one or more first models associated with the cardiac chamber size; and', 'determine at least one ...

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07-01-2021 дата публикации

SYSTEMS AND METHODS FOR AUTOMATED RECOGNITION OF BODILY EXPRESSION OF EMOTION

Номер: US20210000404A1
Принадлежит: THE PENN STATE RESEARCH FOUNDATION

An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion. 1. An emotion analysis and recognition system , comprising: a processor, and', receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset;', 'calculate at least one evaluation metric for each body movement model;', 'select a highest ranked body movement model based on the at least one metric calculated for each body movement model;', 'combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models;', 'calculate at least one evaluation metric for each combination of body movement models; and', 'determine a highest ranked combination of body movement models to predict a bodily expression of emotion., 'a memory storing program instructions, the program instructions executable by the processor to], 'an automated recognition of bodily expression of emotion (ARBEE) system comprising2. The system of claim 1 , wherein the program instructions are further executable by the processor to:receive, from a querying system, a video;apply the received video as input to the highest ranked combination of body ...

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07-01-2021 дата публикации

SYSTEMS AND METHODS FOR A BRAIN ACOUSTIC RESONANCE SEIZURE MONITOR

Номер: US20210000407A1
Принадлежит: EpilepsyCo Inc.

In some aspects, the described systems and methods provide for a method comprising transmitting to a brain of a patient, with at least one transducer, acoustic signals. The method further comprises receiving from the brain, with the at least one transducer, data acquired from the brain including information related to standing waves, distribution of acoustic modes, frequency response, and/or impulse/transient response. The method further comprises detecting, from the acquired data, a seizure of the person. 1. A method comprising:transmitting to a brain of a patient, with at least one transducer, acoustic signals;receiving from the brain, with the at least one transducer, data acquired from the brain including information related to standing waves, distribution of acoustic modes, frequency response, and/or impulse/transient response; anddetecting, from the acquired data, a seizure of the person.2. The method of claim 1 , wherein detecting the seizure includes assessing changes in amplitude claim 1 , bandwidth claim 1 , and/or frequency of the standing waves.3. The method of claim 1 , further including transmitting claim 1 , to an external device with a processor for detecting the seizure claim 1 , the acquired data.4. The method of claim 1 , further including determining a location of a seizure site based on the standing waves.5. The method of claim 1 , wherein the at least one transducer includes a first transducer for transmitting the acoustic signals and receiving the acquired data.6. The method of claim 1 , wherein the at least one transducer includes a first transducer for transmitting the acoustic signals and a second transducer for receiving the acquired data.7. A device comprising:at least one transducer that transmits to the brain of a person acoustic signals and receives data acquired from the brain including information related to standing waves, distribution of acoustic modes, frequency response, and/or impulse/transient response, for detecting, based on ...

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05-01-2017 дата публикации

AUTOMATED DETECTION OF PATIENT AGE BY ECG

Номер: US20170000366A1
Автор: GREGG RICHARD E
Принадлежит:

An automated age detection system employing a patient monitoring lead assembly and a patent monitoring device. In operation, the patient monitoring lead assembly conducts electrical activity of a heart of a patient to the patient monitoring device. In response thereto, the patient monitoring device classifying the patient as an adult patient or a pediatric patient as a function of electrocardiogram feature(s) derived from electrocardiogram measurement(s) of the electrical heart activity. The patient monitoring device may further estimate the age as a function of electrocardiogram feature(s). The classification facilitates an appropriate application of an adult analysis or a pediatric analysis of the electrical heart activity. 1. An automated age detection system , comprising:a patient monitoring lead assembly and a patient monitoring device;wherein the patient monitoring lead assembly is operable in communication with the patient monitoring device to conduct electrical activity of a heart of a patient to the patient monitoring device; andwherein, responsive to the electrical activity of the heart of the patient, the patient monitoring device is operable to classify the patient as an adult patient or a pediatric patient as a function exclusively of at least one electrocardiogram feature derived from at least one electrocardiogram measurement of the electrical activity of the heart.2. The automated age detection system of claim 1 ,wherein the patient monitoring device is further operable to apply an adult analysis of the electrical activity of the patient responsive to a classification of the patient as an adult patient; andwherein the patient monitoring device is further operable to apply a pediatric analysis of the electrical activity of the heart responsive to classification of the patient as a pediatric patient.3. The automated age detection system of claim 1 , wherein at least one of: (i) the patient monitoring device is further operable to apply an adult ...

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04-01-2018 дата публикации

METHOD FOR DETECTING AND RESPONDING TO FALLS BY RESIDENTS WITHIN A FACILITY

Номер: US20180000385A1
Принадлежит:

One variation of a method for detecting and responding to falls by residents within a facility includes: at a wearable device worn by a resident, writing sensor data from a sensor integrated into the wearable device to a buffer, inputting sensor data into a compressed fall detection model—defining a compressed form of a complete fall detection model and stored locally on the wearable device—to detect a fall event at a first time, and transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to a local wireless hub in response to detecting the fall event; and, remotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model—stored remotely from the wearable device—to confirm the fall event and dispatching a care provider to assist the resident in response to confirming the fall event. 1. A method for detecting and responding to falls by residents within a facility , the method comprising: writing sensor data from a sensor integrated into the wearable device to a buffer;', 'inputting sensor data read from the sensor into a compressed fall detection model stored locally on the wearable device to detect a fall event at a first time, the compressed fall detection model defining a compressed form of a complete fall detection model;', wirelessly connecting to a local wireless hub;', 'transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to the local wireless hub, the corpus of sensor data corresponding to a duration of time terminating at approximately the first time; and', 'wirelessly disconnecting from the local wireless hub;, 'in response to detecting the fall event at a first time], 'at a wearable device worn by a residentremotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model, stored remotely from the wearable device, to confirm the fall event; andin response to confirming the fall event, ...

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07-01-2021 дата публикации

CLASSIFICATION SYSTEM OF EPILEPTIC EEG SIGNALS BASED ON NON-LINEAR DYNAMICS FEATURES

Номер: US20210000426A1
Автор: "CHEN Shanen", Zhang Xi
Принадлежит: PEKING UNIVERSITY

A classification system of epileptic EEG signals based on non-linear dynamics features includes a preprocessing module, a feature extraction module, a feature sorting module, a feature selection module and a classification module: the preprocessing module uses discrete wavelet transformation to remove noise in the EEG data and obtain effective EEG signal data without noise; the feature extraction module uses multiple entropy algorithms to calculate the non-linear dynamics features of each EEG signal; the feature sorting module sorts features with analysis of variance; the feature selection module selects the optimal feature subset that has the most significant impact on the accuracy of the model uses a uses a forward sequential feature selection algorithm; the classification module transforms the judgment of EEG during the period of epilepsy and EEG during the interval period of epilepsy into a binary classification problem by use of a least squares support vector machine algorithm. 1. A classification system of epileptic EEG signals based on non-linear dynamics features , including a preprocessing module , a feature extraction module , a feature sorting module , a feature selection module , and a classification module , wherein:the preprocessing module, for preprocessing the EEG signals, uses discrete wavelet transformation (DWT) to remove noise in the EEG data and obtain effective EEG signal data without noise;the feature extraction module, for dividing the EEG signals into several data segments, uses multiple entropy algorithms to calculate different entropy values of EEG data under the same time window as the characteristic values of the corresponding data segments and a feature set is formed by calculating the entropy values of all entropy algorithms;the feature sorting module sorts the significant influence on the classification results of epileptic EEG signals according to the entropy values of the extracted EEG signals by use of analysis of variance (ANOVA), ...

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02-01-2020 дата публикации

METHOD AND SYSTEM FOR AUTOMATED DIAGNOSTICS OF NONE-INFECTIOUS ILLNESSES

Номер: US20200000413A1
Автор: Lituev Victor
Принадлежит:

According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions executable by the processor to access test parameters of a patient; calculate average values for each of the accessed test parameters having a reference value range and assign binary coefficient values to the accessed test parameters based on comparison of the average value to the range limits; assign binary coefficient values to the accessed test parameters that do not have the reference value range based on a test parameter presence; generate a patient parameter matrix based on the assigned binary coefficient values; and apply statistical processing to the patient parameter matrix to make a diagnosis. 1. An apparatus comprising:a processor; access test parameters of a patient;', 'calculate average values for each of the accessed test parameters having a reference value range and assign binary coefficient values to the accessed test parameters based on comparison of the average value calculated between a test parameter value and an upper and lower range values against the upper range value and the lower range value of the value range;', 'assign binary coefficient values to the accessed test parameters that do not have the reference value range based on a test parameter presence;', 'generate a patient parameter matrix based on the assigned binary coefficient values; and', 'apply statistical processing to the patient parameter matrix to determine key diagnostic parameters indicating a presence of a none-infectious disease in the patient., 'a memory on which are stored machine readable instructions that when executed by the processor, cause the processor to2. The apparatus of claim 1 , wherein the instructions are further to cause the processor to determine the key diagnostic parameters by selecting a group from the accessed parameters claim 1 , wherein the selected accessed test parameters have interdependencies within the group.3. The apparatus ...

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04-01-2018 дата публикации

METHOD AND DEVICE FOR SWALLOWING IMPAIRMENT DETECTION

Номер: US20180000403A1
Принадлежит:

In a method and apparatus for swallowing impairment detection, a candidate executes one or more swallowing events, and dual axis accelerometry data is acquired representative thereof. Upon feature extraction and classification, vibrational data acquired in respect of each swallowing event is classified as indicative of one of normal or possibly impaired swallowing. 1. A device for identifying a possible swallowing impairment in a candidate during execution of a swallowing event , the device comprising:an accelerometer configured to acquire axis-specific vibrational data for an anterior-posterior (A-P) axis and a superior-inferior (S-I) axis of the candidate's throat, the axis-specific vibrational data is representative of the swallowing event; anda processing module that is a local or remote computing device operatively coupled to the accelerometer, the processing module configured for processing the axis-specific data to (i) extract therefrom distinct axis-specific features representative of the swallowing event, the distinct axis-specific features comprising at least one feature for the A-P axis different than the distinct axis-specific features for the S-I axis, the distinct axis-specific features further comprising at least one feature for the S-I axis different than the distinct axis-specific features extracted for the A-P axis, (ii) perform a comparison of the distinct axis-specific features against preset classification criteria defined for each of swallowing safety and swallowing efficiency, and (iii) classify the vibrational data as one of a first classification or a second classification based on the comparison of the distinct axis-specific features against the preset classification criteria defined for each of the swallowing safety and the swallowing efficiency.2. The device of claim 1 , wherein the second classification is indicative of at least one of a swallowing safety impairment or a swallowing efficiency impairment.3. The device of claim 1 , wherein ...

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