Выделение частоты сердечных сокращений плода из материнской абдоминальной экг

Группа изобретений относится к медицине. Способ для выделения частоты сердечных сокращений плода из измеренного сигнала ЭКГ, содержащего сигнал ЭКГ плода, сигнал материнской ЭКГ и шум, осуществляют с помощью системы, содержащей процессор компьютера, память команд, пиковый детектор, устройство сбора сигналов, пространственный фильтр и идентификатор QRS-комплекса плода. При этом с помощью процессора компьютера принимают сигналы абдоминальной ЭКГ с датчиков, прикрепленных к пациентке. Записывают и оцифровывают каждый измеренный сигнал ЭКГ в буфере измеренных сигналов ЭКГ. С помощью пикового детектора идентифицируют потенциальные пики в буфере измеренных сигналов ЭКГ. С помощью устройства сбора сигналов собирают в стек и разбивают оцифрованные измеренные сигналы ЭКГ, записанные в буфере сигналов, на отрезки, каждый из которых включает один потенциальный пик. С помощью пространственного фильтра идентифицируют и подавляют сигнал материнского QRS-комплекса на отрезках в буфере измеренных сигналов ...

УСОВЕРШЕНСТВОВАННЫЙ СПОСОБ И АППАРАТ ДЛЯ ОПРЕДЕЛЕНИЯ БАЛЛЬНОЙ ОЦЕНКИ УПИТАННОСТИ, ЖИВОГО ВЕСА И ИНДЕКСА ФЕРТИЛЬНОСТИ

Vorrichtung zur Bestimmung der Schlaftiefe

A method, apparatus and program

The present application discloses adjusting a parameter, the parameter being used to derive a physiological characteristic of an individual from an image of the user. Adjusting the parameter comprises obtaining the parameter for the individual, obtaining a corresponding parameter for a plurality of other individuals within a cohort of the individual and comparing 10174 the parameter for the individual with a statistically significant parameter for the plurality of other individuals. The parameter for the individual is adjusted 10176 in accordance with the difference between the parameter for the individual and the statistically significant parameter for the plurality of other individuals. The physiological characteristic may be a vital sign such as heart rate, breathing rate heart rate variability or oxygen saturation. The parameter which is adjusted may be a parameter which was initially determined in a calibration. The statistically significant parameter may be an average such as a mean ...

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

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

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

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

DEVICE AND PROCEDURE FOR THE INVESTIGATION OF CEREBRAL BIO POTENTIALS

VORRICHTUNG ZUR MESSUNG DES BLUTDRUCKES AM MENSCHLICHEN ODER TIERISCHEN KOERPER

DEVICE FOR THE DETERMINATION OF THE DEPTH OF SLEEP

Decomposition of non-stationary signals into functional components

A method of signal processing and, in particular, a method of decomposing non-stationary signals representative of a physiological phenomenon into functional components, and to estimate parameters characterizing each of those functional components. The method utilises means for estimating dynamic and baseline trends in the time course of the signal, means for dividing the non-stationary signal into the segments over which the functional components are developed and means for compensating for overlap from QGK matched to preceding functional components to form an ECK. The compensation comprises means for transforming the ECK to a frequency domain, means for estimating the weight and dispersion parameters of the QGK, and validation of the parameter reliability, means for estimating the onset time of the QGK, means for expansion of the model of the non-stationary signal after each cycle of recursion, means for removal of unfavourable QGKs and rearrangement of remaining QGKs and means for creating ...

A method and system for near real-time analysis and display of electrocardiographic signals

METHODS AND APPARATUS FOR MONITORING CARDIOVASCULAR REGULATION USING HEART RATE POWER SPECTRAL ANALYSIS

Apparatus for heart rate fluctuation power spectrum analysis obtains an electrocardiogram signal from an electrocardiograph machine and a respiratory rate signal from an electroplethysmograph machine. These signals are processed by a data acquisition system to provide output suitable for heart rate fluctuation power spectrum analysis by a mini-micro computer. Data manipulation includes correction of artifacts by substituting an appropriate heartbeat interval for detected heartbeat intervals for which the variance exceeds a preselected range of slewing rates. Trending of data and overlapping data analysis increase the analytical capabilities of the apparatus. Methods of treatment for conditions manifested by abnormalities in a heart rate fluctuation power spectrum involve applying treatments when spectral abnormalities are observed. Specific abnormalities indicating the need for treatment include: a level belowabout 0.1 (beats/min.)2 in the power spectrum of heart rate fluctuations at a ...

DELAY COORDINATE ANALYSIS OF PERIODIC DATA

In embodiments of the present invention, periodic data is analysed by obtaining (SI) a vector of delay coordinates for each one of a plurality of samples of the periodic data in a time window, and transforming (S2) each of the vectors into a coordinate system comprising a plurality of predefined vectors, to obtain a projection of an attractor of the periodic data along one of the predefined vectors. The periodic data may be physiological data. Information representing one or more characteristics of the obtained attractor, which is of diagnostic value, is then displayed (S3) to enable a diagnosis.

DETECTING FIDUCIAL POINTS IN PHYSIOLOGICAL SIGNALS

Various aspects are directed to identifying a region of interest in a physiological signal. As may be consistent with one or more embodiments, the physiological signal is decomposed into subcomponents, and a subset of the subcomponents is selected based upon overlap of spectral energy with expected spectral energy of the region of interest, in at least one of the subcomponents. At least two of the subcomponents in the subset are combined and compared to a threshold, with the comparison being used to identify the location of the region of interest.

SYSTEM, PROCESS, AND DEVICES FOR REAL-TIME BRAIN MONITORING

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

PHYSIOLOGICAL SIGNAL DENOISING

Physiological signals are denoised. In accordance with an example embodiment, a denoised physiological signal is generated from an input signal including a desired physiological signal and noise. The input signal is decomposed from a first domain into subcomponents in a second domain. Target subcomponents of the input signal that are associated with the desired physiological signal are identified, based upon the spatial distribution of the subcomponents. A denoised physiological signal is constructed in the first domain from at least one of the identified target subcomponents.

Blood pressure prediction method based on wavelet analysis and echo state network

HEART RATE MEASURING METHOD AND APPARATUS, AND ELECTRONIC TERMINAL

DEVICE FOR DETECTING THE LEVEL OF DROWSINESS

흉막내압 측정장치 및 이를 이용한 측정방법

... 본 발명은 흉막내압측정장치 및 이를 이용한 흉막내압측정방법에 관한 것이다. 본 발명의 일실시예에 따른 흉막내압측정장치는, 흉관에 장치를 연결하는 장치연결부; 상기 장치연결부와 연결되어 압력데이터을 산출하는 압력센서부; 상기 압력데이터에 따른 결과데이터를 생성하는 제어부; 및 상기 결과데이터를 표시하는 디스플레이부;를 포함하고, 상기 압력데이터는 상기 흉관 내부의 압력 값이다. 본 발명에 따르면, 흉관의 압력을 측정함에 따라 신체에 대해 비침습적이므로, 흉막내압을 측정하는 과정에서 기흉 등의 문제가 발생하지 않는 효과가 있다. 또한, 환자의 폐에 직접 연결되어 있는 흉관 내부 압력을 측정하여 흉막내압과 근사한 측정값을 제공할 수 있다.

공간필터를 이용한 뇌-기계 인터페이스 시스템 및 방법

... 공간필터를 이용한 뇌-기계 인터페이스 시스템 및 방법이 개시된다. 개시된 공간필터를 이용한 뇌-기계 인터페이스 시스템은 새로운 뇌파 데이터 측정부, 상기 새로운 뇌파 데이터 측정부에서 측정된 새로운 뇌파 데이터에 뇌파 데이터의 공간 필터 생성 시스템에서 생성된 뇌파 데이터의 공간 필터를 적용하여 상기 새로운 뇌파 데이터를 증폭시키는 공간 필터 적용부, 및 상기 증폭된 새로운 뇌파 데이터를 기초로 피험자가 의도한 동작을 예측하는 동작 예측부를 포함한다.

SLEEPINESS DETECTING DEVICE FOR MEASURING QUANTITATIVELY SLEEPINESS DEGREE OF A DRIVER BY FREQUENCY COMPONENTS CONTAINED IN A HEART BEAT SIGNAL

PURPOSE: A sleepiness detecting device is provided to evaluate exactly the sleepiness degree of a subject according to intensity of a spectrum signal and to take a proper action such as the generation of warning and motion limit of the device. CONSTITUTION: A sleepiness detecting device is composed of a detecting unit(10) for measuring a heart beat signal of a subject; a computing unit for analyzing frequency for the heart beat signal and calculating a spectrum signal for indicating the distribution of a frequency component contained in the heart beat signal; and an evaluating unit for setting a band with frequency lower than an awakening state peak frequency as a sleepiness index band based on the awakening state peak frequency of an awakening state of the subject in the spectrum signal and evaluating the degree of sleepiness based on the intensity of the spectrum signal in the sleepiness index band. © KIPO 2005 ...

EYE STATE DETECTION SYSTEM AND METHOD OF OPERATING THE SAME FOR UTILIZING A DEEP LEARNING MODEL TO DETECT AN EYE STATE

DEVICE AND METHOD FOR EVALUATING INDICATOR OF PARKINSON′S DISEASE USING ACCELERATION SENSOR

The present invention relates to a device and a method for evaluating an indicator of Parkinson′s disease using an acceleration sensor. According to the present invention, the device for evaluating an indicator of Parkinson′s disease using an acceleration sensor comprises: an acceleration sensor unit to output an acceleration signal in accordance with a movement of a hand of a subject; a frequency domain conversion unit to convert the acceleration signal outputted from the acceleration sensor unit into a frequency domain; a time domain calculation unit to use the acceleration signal outputted from the acceleration sensor unit to calculate a signal value in a time domain; a sound unit to output a sound to cause a movement of the subject; a delay time calculation unit to use the acceleration signal outputted from the acceleration sensor unit to calculate delay time related to a sound signal of the sound unit; and a control evaluation unit to control the sound signal of the sound unit, use ...

method and apparatus for multi-spectral analysis in non-invasive infrared spectroscopy.

Device And Method To Activate Cell Structures By Means Of Electromagnetic Energy

Method and device for detecting ""yin"" and ""yang""

The present invention discloses a method and a device for detecting yin and yang according to the heart rate variability (HRV) so that an analysis of the HRV, which is difficult to be carried out traditionally, can be performed clearly in order to assist the clinical diagnosis of a physician or a Chinese herbal doctor. The detection method comprises the following steps: (1) grabbing electrocardio signals of an individual; (2) performing a Fourier transform on the electrocardio signals to provide a heart rate-power density spectrum; (3) separately calculating the lower frequency power and the high frequency power of the heart rate-power density spectrum; (4) using the low frequency power and the high frequency power to obtain a ""yin"" parameter, a ""yang"" parameter, and a ""qi"" parameter; and (5) separately calculating the standard scores of the ""yin"" parameter, the ""yang"" parameter, and the ""qi"" parameter to be used as the ""yin"" index, the ""yang"" index, and the ""qi"" index ...

MACHINE LEARNING FOR CLASSIFICATION OF MAGNETO CARDIOGRAMS

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. The results, similar for all three methods, were encouraging, exceeding the quality of classification achieved by the trained ...

APPARATUS AND METHOD FOR DETECTION, QUANTIFICATION AND CLASSIFICATION OF EPIDERMAL LESIONS

An apparatus for recording skin lesions on a patient comprises an apparatus for acquiring images and a control and processing unit connected to the apparatus so as to acquire and process a plurality of images of the patient positioned in different angular positions with respect to the apparatus. The control and processing unit comprises a processing block which receives at its input the plurality of images acquired by the apparatus and provides at its output a two-dimensional image obtained as a planar development of a three-dimensional image of the patient calculated in the processing block from the plurality of images acquired. By means of extraction of characteristics indicative of the lesions from the two-dimensional image it is possible to classify the lesions in an automatic or semi-automatic manner. A method for electronically recording skin lesions on a patient is also described.

SYSTEM AND METHOD FOR EXTRACTING PHYSIOLOGICAL DATA USING ULTRA-WIDEBAND RADAR AND IMPROVED SIGNAL PROCESSING TECHNIQUES

Disclosed is a variant of ultra-wide band (UWB) radar known as micropower impulse radar (MIR) combined with advanced signal processing techniques to provide a new type of medical imaging technology including frequency spectrum analysis and modern statistical filtering techniques to search for, acquire, track, or interrogate physiological data. Range gate settings are controlled to depths of interest within a patient and those settings are dynamically adjusted to optimize the physiological signals desired.

Transcranial doppler spectroscopy for assessment of brain cognitive functions

A noninvasive method to determine cerebral blood flow velocity response to face recognition tasks of a human subject, including steps of obtaining a subject's cerebral blood flow velocity in cerebral arteries on both sides of the brain using a microcomputer integrated with a transcranial Doppler ultrasound instrument with two probes placed on the temples and sample volumes focused on cerebral vessels on both sides and calculating laterality index for both arteries. Simultaneously, testing the subject with face or object processing tasks presented on the screen of a digital computer while monitoring the mean blood flow velocity during each stage of the task in real-time. Processing the acquired data to determine the spectrum analysis using a microcomputer that is operatively connected to a computer workstation for image retrieval and cross matching.

Heart Rate Sensor and Medical Diagnostics Wireless Devices

A heart generated signal is provided by a heart sensor of a mobile device to an analog to digital (A/D) converter for A/D converting the sensor provided signal. The A/D converted heart signal is processed to provide heart rate. The heart rate is recorded or stored in the mobile device or is transmitted in a wireless communication system. The mobile device receives sensor provided Electro Cardiogram (ECG) signal. The ECG signal is stored or is provided to an interface unit. The mobile device has transceivers for receiving and transmitting Orthogonal Frequency Division Multiplexed (OFDM) signals and for modulating and transmitting spread spectrum baseband signals. The spread spectrum baseband signals have cross-correlated in-phase and quadrature-phase filtered baseband signals.

METHODS OF DETECTING AND MAPPING SPINAL CORD EPIDURALLY-EVOKED POTENTIALS

Embodiments of the present invention relate to a novel approach to automatically detect the occurrence of evoked potentials, quantify the attributes of the signal and visualize the effect across a high number of spinal cord epidural stimulation parameters. This new method is designed to automate the current process for performing this task that has been accomplished manually by data analysts through observation of the raw EMG signals, which is laborious and time-consuming as well as being prone to human errors. The proposed method provides fast and accurate framework for activation detection and visualization of the results within five main algorithms.

MAGNETIC SENSING TO PROVIDE GEOMETRY INFORMATION

An example method includes storing invasive position data representing different positions of one or more sensors in a given coordinate system within a volume defined by an electromagnetic field and storing non-invasive position data representing different positions of a plurality of control points in the given coordinate system determined from a position of one or more sensors. The method also includes computing internal geometry data based on the invasive position data, the internal geometry data representing a three-dimensional anatomical surface within a patient's body. The method also includes computing electrode geometry data based on the non-invasive position data, the electrode geometry data representing a location of each of a plurality of electrodes on an outer surface of the patient's body. Electrical activity sensed by the plurality of electrodes can be reconstructed onto an anatomical envelope within the patient's body.

DEVICE FOR OBTAINING RESPIRATORY INFORMATION OF A SUBJECT

A device and method for reliably and accurately obtaining respiratory information of a subject despite motion of the subject are disclosed. The proposed device comprises a motion signal computing unit for computing a number M of motion signals for a plurality of pixels and/or groups of pixels of at least a region of interest for a number N of image frames of a subject, a transformation unit for computing, for some or all M motion signals, a number of source signals representing independent motions within said images by applying a transformation to the respective motion signals to obtain source signals representing independent motions within said N image frames, and a selection unit for selecting a source signal from among said computed source signals representing respiration of said subject by examining one or more properties of said source signals for some or all of said computed source signals.

Signal processing apparatus

The present invention involves a method and an apparatus for analyzing measured signals, including the determination of a measurement of correlation in the measured signals during a calculation of a physiological parameter of a monitored patient. Use of this invention is described in particular detail with respect to blood oximetry measurements.

MAGNETIC REFERENCE SENSOR WITH REDUCED SENSITIVITY TO MAGNETIC DISTORTIONS

Aspects of the present disclosure are directed to systems, apparatuses, and methods for detecting and correcting for patient respiration within a medical magnetic localization system. In one embodiment of the present disclosure, a system is disclosed for detecting patient respiration in a magnetic field for localization of an intravascular catheter. The system including a magnetic field generator and a magnetic reference sensor. The magnetic field generator generates the magnetic field for localization of the catheter within the patient. The magnetic reference sensor includes sensor coils that have a longitudinal axis, sense the magnetic field aligned with the orientation of the sensor coil, and output an electrical signal indicative of the sensed magnetic field. The magnetic reference sensor is positioned within the magnetic field generated by the magnetic field generator, and the longitudinal axis of each sensor coil is non-parallel relative to an axis of the generated magnetic field.

UP-SAMPLING OF SIGNALS BY ANALYTIC PHASE PROJECTION

The systems and methods of the present disclosure address the problem of up-sampling an insufficiently sampled signal of numbers or images that does not yield interpretable data. A computing device may acquire from a sensor, a reference signal and a quasi-periodic signal of a subject over a predefined time period. The reference signal may have a fixed sampling rate. The quasi-periodic signal may have a variable sampling rate. The computing device may filter, using a band-pass filter, the reference signal to obtain a monocomponent signal. The computing device may determine, by applying a Hilbert transform on the monocomponent signal, an analytic phase. The computing device may generate a phase projected signal from the quasi-periodic signal based on the analytic phase. The phase projected signal may have a plurality of data points of the quasi-periodic signal across the predefined time period mapped to a predefined phase interval.

METHOD OF EKG SIGNAL PROCESSING AND APPARATUS FOR PERFORMING THE METHOD

Puls - Monitor

SYSTEM UND VERFAHREN ZUM ANALYSIEREN DES ZEREBRALEN BIOPOTENTIALS

Determination of cardiopulmonary resuscitation compression rate

PROCEDURE FOR AFFECTING THE ORGANISM

Determination of cardiopulmonary resuscitation compression rate

A defibrillator (1) for determining a cardiopulmonary resuscitation (CPR) compression rate, comprising electrodes (3) adapted to be attached to the subject, an impedance signal measurement system (5) connected to the electrodes and configured to measure at least one impedance signal of the subject, an electrocardiogram signal measurement system (7) connected to the electrodes and configured to measure at least one electrocardiogram signal of the subject, an impedance signal processing system (9) connected to the impedance signal measurement system and configured to process the impedance signal of the subject to obtain a plurality of impedance signal compression rate estimates and a plurality of impedance signal features, an electrocardiogram signal processing system (11) connected to the electrocardiogram signal measurement system and configured to process the electrocardiogram signal of the subject to obtain a plurality of electrocardiogram signal features, a compression rate estimate ...

Methods for establishing the stiffness of a bone using mechanical response tissue analysis

Parametric model based computer implemented methods for determining the stiffness of a bone, systems for estimating the stiffness of a bone ...

Improved method and relevant apparatus for the determination of the body condition score, body weight and state of fertility

The present invention relates to a method for calculating the body condition score - BCS, the weight of an animal and its state of fertility by means of the mathematical processing of some characteristic morphological traits of the observed subject, which makes use of at least one contact or no-contact detection device of the profile 109 of the animal, at least a data processing unit and a program that implements a specific mathematical method of interpretation. By such a method, the determination of the body condition and its synthetic index or fattening index or Fl, is independent of species, race, gender, age and absolute size of the examined animal. This method is also robust to possible errors of positioning of the apparatus by an operator.

Fatigue monitoring and management system

A system monitors fatigue of a user. The system (100) may include one or more data sources, such as a non-obtrusive sleep sensor, configured to generate objective sleep measures of the user. The system may also include a fatigue monitoring module, which may be configured to generate an assessment, such as in one or more processors, of the fatigue state of the user based on the data from the one or more data sources.

NON-INVASIVE VENOUS WAVEFORM ANALYSIS FOR EVALUATING A SUBJECT

A method embodiment includes generating, via a sensor of a computing device, a signal representing vibrations originating from a blood vessel of a subject and decomposing the signal into one or more first intrinsic oscillatory modes and one or more second intrinsic oscillatory modes. The one or more first intrinsic oscillatory modes have respective oscillation frequencies that are less than respective oscillation frequencies of the one or more second intrinsic oscillatory modes. The method includes obtaining an intensity spectrum of the one or more first intrinsic oscillatory modes over a range of frequencies and using the obtained intensity spectrum to determine a blood volume status of the subject. Another method embodiment includes using the one or more second intrinsic oscillatory modes to determine one or more mechanical properties of the blood vessel or tissue adjacent to the blood vessel.

CAMERA BASED PHOTOPLETHYSMOGRAM ESTIMATION

A system for estimating a photoplethysmogram waveform of a target includes an image processor configured to obtain images of the target and a waveform analyzer. The waveform analyzer is configured to determine a weight of a portion of the target. The weight is based on a time variation of a light reflectivity of the portion of the target. The time variation of the light reflectivity of the target is based on the images. The waveform analyzer is further configured to estimate a PPG waveform of the target based on the weight of the portion and the time variation of the light reflectivity of the portion.

CAMERA BASED PHOTOPLETHYSMOGRAM ESTIMATION

A system for estimating a photoplethysmogram waveform of a target includes an image processor configured to obtain images of the target and a waveform analyzer. The waveform analyzer is configured to determine a weight of a portion of the target. The weight is based on a time variation of a light reflectivity of the portion of the target. The time variation of the light reflectivity of the target is based on the images. The waveform analyzer is further configured to estimate a PPG waveform of the target based on the weight of the portion and the time variation of the light reflectivity of the portion.

IMPROVED METHOD AND APPARATUS FOR THE DETERMINATION OF THE BODY CONDITION SCORE, BODY WEIGHT AND STATE OF FERTILITY

The present invention relates to a method for calculating the body condition score - BCS, the weight of an animal and its state of fertility by means of the mathematical processing of some characteristic morphological traits of the observed subject, which makes use of at least one contact or no-contact detection device of the profile 109 of the animal, at least a data processing unit and a program that implements a specific mathematical method of interpretation. By such a method, the determination of the body condition and its synthetic index or fattening index or Fl, is independent of species, race, gender, age and absolute size of the examined animal. This method is also robust to possible errors of positioning of the apparatus by an operator.

HEART RATE VARIABILITY AND DROWSINESS DETECTION

Methods, devices and systems are provided for detecting drowsiness or the alertness level of a driver of vehicle. A driver's heart rate variability level is determined based on signals received from one or more sensors placed in the vehicle, such as biometric sensors located in a seat assembly. In response to a low heartbeat variability indicating a drowsy or non- alert driver, one or more output signals may be generated to warn or notify the driver.

METHOD AND APPARATUS FOR MULTI-SPECTRAL ANALYSIS IN NONINVASIVE INFRARED SPECTROSCOPY

A method and apparatus are described for determining the concentration of an analyte present in a sample using multi-spectral analysis in the near infrared and mid-infrared ranges. Incident radiation containing a plurality of distinct, nonoverlapping regions of wavelengths in the range of approximately 1100 to 5000 nm is used to scan a sample. Diffusively reflected radiation emerging from the sample is detected, and a value indicative of the concentration of the analyte is obtained using an application of chemometrics techniques. Information obtained from each nonoverlapping region of wavelengths can be cross-correlated in order to remove background interferences.

ECG recognition method and device based on multi-scale differential feature

VIDEO OTOSCANNER WITH LINE-OF-SIGHT PROBE AND SCREEN

An otoscanner including an otoscanner body, the body comprising a hand grip, the body having mounted upon it an ear probe, a tracking illumination emitter, a plurality of tracking illumination sensors, and a display screen, the otoscanner body having mounted within it an image sensor; the ear probe comprising a wide-angle lens optically coupled to the image sensor, laser light source, a laser optical element, and a source of non-laser video illumination; the display screen coupled for data communications to the image sensor, the display screen displaying images of the scanned ear, the display screen positioned on the otoscanner body in relation to the ear probe so that when the ear probe is positioned for scanning, both the display screen and the ear probe are visible to a operator operating the otoscanner; and a data processor configured to construct a 3D image of the interior of the scanned ear.

DISTORTION REDUCED SIGNAL DETECTION

The present invention relates to a device and a method for extracting information from remotely detected characteristic signals. A data stream (26) derivable from electromagnetic radiation (14) emitted or reflected by an object (12) is received. The data stream(26) comprises a continuous or discrete characteristic signal (80) including physiological information and a disturbing signal portion. The physiological information is representative of at least one at least partially periodic vital signal (20). The disturbing signal portion is representative of at least one of an object motion portion and/or a non-indicative reflection portion. A relevant frequency band (92) of the data stream (26) is split into at least two defined sub bands (34a, 34b, 34c) comprising determined portions of the characteristic signal (80), each of which representing a defined temporal frequency portion potentially being of interest. The sub bands (34a, 34b, 34c) are optimized so as to derive optimized sub bands ...

Determining health change of a user with neuro and neuro-mechanical fingerprints

In accordance with one embodiment, a method for determining changes in health of a user is disclosed. The method includes sensing multi-dimensional motion of a body part of a user to generate a first multi-dimensional motion signal at a first time and date; in response to the first multi-dimensional motion signal, generating a first neuro-mechanical fingerprint; generating a first health measure in response to the first NFP and user calibration parameters; sensing multi-dimensional motion of the body part of the user to generate another multi-dimensional motion signal at another time and date; in response to the another multi-dimensional motion signal, generating another neuro-mechanical fingerprint; generating another health measure in response to the another NFP and the user calibration parameters; and comparing the first health measure with the another health measure to determine a difference representing the health degradation of the user.

System and method for evaluating an electrophysiological signal

A method of evaluating an electrophysical signal. The method utilizes a model-derived reconstruction over at least one cycle of the electrophysical signal to identify a pathological event, whereby at least one term in the model is differentiable. The invention is also directed to a non-transitory computer readable medium having instructions stored thereon for identifying a pathological event from a model-derived reconstruction of an electrophysical signal. The invention is further directed to a system for evaluating an electrophysical signal. The system includes a processor configured to identify a pathological event from a model-derived reconstruction of the electrophysical signal, a data input coupled to the processor for providing the processor with the electrophysical signal, and a user interface.

ECG sensing apparatuses, systems and methods

Aspects of the present disclosure are directed to processing ECG signals from a subject. As may be implemented in accordance with one or more embodiments, respective electrodes sense ECG signals from a subject, and the ECG signals are digitized and processed, such as to remove noise, detect a QRS complex, evaluate quality, detect arrhythmia and/or to store the signals. In response to an input from the subject, one or more of the ECG signals is recorded along with sound from the user, such as to concurrently record the user's voice for describing conditions in connection with the recording of the ECG signals. This approach can be carried out in an enclosed housing, operated adjacent the subject's thorax. The processed digitized ECG signals and the audio signals are then communicated for receipt by an external device.

Signal processing apparatus

The present invention involves method and apparatus for analyzing two measured signals that are modeled as containing primary and secondary portions. Coefficients relate the two signals according to a model defined in accordance with the present invention. In one embodiment, the present invention involves utilizing a transformation which evaluates a plurality of possible signal coefficients in order to find appropriate coefficients. Alternatively, the present invention involves using statistical functions or Fourier transform and windowing techniques to determine the coefficients relating to two measured signals. Use of this invention is described in particular detail with respect to blood oximetry measurements.

Method and apparatus for analyzing and interpreting electrocardiograms using spectro-temporal mapping

Method and apparatus for analyzing ECG signal data for diagnostic purposes by performing an incrementally moving, short window FFT analysis to produce a set of spectral templates representative of the spectral frequency content of the ECG at each window position. The spectral templates may be displayed as a representation of a three dimensional surface or mathematically analyzed. The changes in the shape of the templates or surface with time represent a change in the spectrum, which are shown to be an indication of abnormalities in the heart.

Method and system for diagnosing and treating thalamocortical dysrhythmia

Method and system for diagnosing and treating thalamocortical dysrhythmia. Thalamocortical dysrhythmia occurs when unbalanced neural activity occurs due to the rise of low frequency (approximately 4-8 Hz) and high frequency (approximately 20-50 Hz) neuronal oscillation activity simultaneously within awake individuals. The underlying mechanism that causes thalamocortical dysrhythmia is abnormal input into thalamic cells, which causes a low-frequency shift, increased amplitude, and increased frequency correlation of neuronal oscillation at the cortical and thalamic levels. The present invention measures the neuronal activity at the cortical level, filters these measurements, and performs a Fourier transform to transfer neuronal oscillation data into the frequency domain. The present invention then selects at least one reference baseline based on the characteristics of control subjects that do not have thalamocortical dysrhythmia and/or patients that have thalamocortical dysrhythmia. The present ...

METHOD AND SYSTEM FOR RECONSTRUCTING A THERMOACOUSTIC IMAGE

DEVICE AND METHOD FOR MONITORING RESPIRATORY EFFORT USING ENERGY INDEX

СПОСОБ ДЕТЕКТИРОВАНИЯ И КОМПЕНСАЦИИ ДЛЯ КОНТРОЛЯ МЕСТА АКТИВНОСТИ НА ТЕЛЕ

... 1. Измерительная система (1), содержащая ! датчик (6), выполненный с возможностью прикрепления в одном из множества положений на субъекте для получения измеренного значения, представляющего физический или физиологический параметр субъекта, и ! средство для установления положения датчика на субъекте, и ! средство для выведения имеющего отношение к субъекту значения из измеренного значения, также в зависимости от положения датчика на субъекте. ! 2. Измерительная система (1) по п.1, в которой множество положений включает в себя по меньшей мере два из следующих: запястье, предплечье, плечо, голень, бедро, талия, грудная клетка, шея, голова. ! 3. Измерительная система (1) по п.1, в которой выведенное значение содержит параметр активности субъекта, причем параметр активности содержит потребление энергии. ! 4. Измерительная система (1) по п.1, в которой параметр активности представляет степень активности части тела, к которой прикреплен датчик. ! 5. Измерительная система (1) по п.1, в которой ...

VERFAHREN ZUM BEEINFLUSSEN DES ORGANISMUS

Verfahren zur zeitlichen und räumlichen Interpolation von fMRI-Zeitreihen in Bezug auf ein Einzelsubjekt

Die Erfindung betrifft insbesondere ein Verfahren zur zeitlichen und räumlichen Interpolation von fMRI-Zeitreihen in Bezug auf ein Einzelsubjekt, wobei ein Bild zumindest zwei räumliche und zumindest eine zeitliche Dimension aufweist, wobei zumindest eine erste Zeitreihe in Bezug auf ein Einzelsubjekt aufgenommen wird. Das Verfahren weist den Schritt des Aufnehmens einer Vielzahl N von funktionellen Bildern (100), wobei zumindest zwei Bilder aus der Vielzahl N von funktionellen Bildern keine identische räumliche und/oder zeitliche Auflösung aufweisen, und den Schritt des Interpolierens der Vielzahl N von funktionellen Bildern in einen gemeinsamen „räumlichen“ und/oder „zeitlichen“ Raum (200), wobei die Auflösung des gemeinsamen „räumlichen“ oder „zeitlichen“ Raumes mindestens so hoch ist wie das höchste „zeitliche“ oder „räumliche“ Auflösungsniveau der Vielzahl N von funktionellen Bildern, auf.

VORRICHTUNG UND VERFAHREN ZUR UNTERSUCHUNG VON ZEREBRALEN BIO-POTENTIALEN

Method for controlling medical device, involves attaching fixing device to chest of patient, where fixing device is comprised of electromechanical sensor, and medical device is connected to signal evaluation device

The method involves attaching a fixing device (20) to a chest of a patient (P), where the fixing device is comprised of an electromechanical sensor (21). A signal evaluation device (14) is connected to the electro mechanical sensor for generating measuring signals that are fed to the evaluation. The medical device is connected to the signal evaluation device, where the measuring signals are recorded in the fixing device attached to the chest of the patient containing the electro mechanical sensor. Independent claims are included for the following: (1) a device with a computer program; and (2) a disk for a computer program.

Vorrichtung zur Detektion biologischer Information

Eine Vorrichtung zur Detektion biologischer umfasst einen Fahrzeugöffnungsdetektor, einen Fahrtdetektor, einen Radiowellen-Sendeempfänger, einen biologischen Informationsdetektor und eine Korrekturwert-Einstelleinheit. Der Radiowellen-Sendeempfänger sendet eine Radiowelle aus und empfängt eine reflektierte Welle der Radiowelle, und die Korrekturwert-Einstelleinheit legt einen Korrekturwert für die Detektion der biologischen Information basierend auf dem empfangenen Ergebnis nach Detektion des Öffnens eines Fahrzeugs durch den Fahrzeugöffnungsdetektor und vor der Detektion des Fahrens eines Fahrers in dem Fahrzeug durch den Fahrtdetektor fest. Der Radiowellen-Sendeempfänger sendet eine Radiowelle an die Körperoberfläche des Fahrers aus und empfängt eine von der Körperoberfläche reflektierte Welle, und der biologische Informationsdetektor detektiert biologische Information des Fahrers basierend auf dem empfangenen Ergebnis und dem Korrekturwert, nachdem ein Fahren des Fahrers in dem Fahrzeug ...

Mapping the trajectory of a part of the anatomy of the human or animal body

A method for mapping the trajectory of a part of the anatomy of a human or animal body. The method comprises receiving first sensor signals from a sensor attached to part of the anatomy of the human or animal body. The first sensor signals comprise three dimensional position information indicating the location of the sensor; determining from the first sensor signals at least two angles of rotation of the part of the anatomy to which the sensor is attached with respect to a centre of rotation of another part of the body, wherein the angles of rotation are selected from pitch, yaw and roll. Transforming the signals to provide two dimensional coordinate data defined in a two dimensional coordinate space wherein a first dimension in the two dimensional coordinate space represents a first angle of rotation of the part of the anatomy and a second dimension in the two dimensional coordinate space represents a second angle of rotation of the part of the anatomy; and stores the two dimensional coordinate ...

Determination of cardiopulmonary resuscitation compression rate

A defibrillator 1 for determining a CPR compression rate, comprises electrodes 3 adapted for attachment to a subject, an impedance signal measurement system 5 which measures at least one impedance signal via the electrodes and an electrocardiogram (ECG) signal measurement system 7 configured to measure at least one ECG signal of the subject via the electrodes. The impedance signal is processed by an impedance signal processing system 9 (connected to the impedance signal measurement system) to obtain a plurality of impedance signal compression estimates and features and the ECG signal is processed by an ECG signal processing system 11 (connected to the ECG signal measurement system) to obtain a plurality of ECG signal features 18. A compression rate estimate processing system 13, connected to the impedance and ECG signal measurement systems, applies a plurality of criteria in association with compliance or non-compliance to the impedance and ECG signal features to select one of the plurality ...

Electrocardiogram measurement method and system using wearable device

VORRICHTUNG ZUR MESSUNG DES BLUTDRUCKES AM MENSCHLICHEN ODER TIERISCHEN KOERPER

PROCEDURE AND DEVICE FOR THE MULTI-SPECTRAL ANALYSIS WITH THAT NICHTINVASIVEN INFRARED SPECTROSCOPY

SYSTEM AND PROCEDURE FOR ANALYZING THE CEREBRAL BIO POTENTIAL

SLEEP STAGE JUDGMENT METHOD AND JUDGMENT DEVICE

Signal processing apparatus

Apparatus and method for time dependent power spectrum analysis of physiological signals

Systems and methods for diagnosing sleep

Abstract Systems and methods for sleep stage determination are disclosed. Example systems disclosed herein includes a complexity module operable to measure the complexity of regularities in an EEG channel, and a stager operable to output at least one corresponding sleep stage. Some example systems also include monitoring a subject, and determine the subject may have impairment, Alzheimer's disease, or anesthesia problem that is associated with sleep staging problem. C"J (N 00 0 u L- UJ L.fl U-i 0 o. cr:/2< ...

COMPRESSED SENSING HIGH RESOLUTION FUNCTIONAL MAGNETIC RESONANCE IMAGING

The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems.

METHOD OF MONITORING A PATIENT FOR SEIZURE ACTIVITY

A method of monitoring a patient for seizure activity may include detecting portions of elevated electromyography signal amplitude and analyzing whether the elevations meet one or characteristics of either an epileptic seizure or non-epileptic psychogenic event.

APPARATUS AND METHOD FOR GENERATING A CONDITION INDICATION

An apparatus for generating a condition indication using a time sequence of data values, each data value representing a physiological measure of a condition of a subject at a time, comprises: a transformer (132) for transforming the time sequence of data values into a transformed sequence of data values using a transform rule, wherein the transform rule is such that a certain characteristic in a time course of the physiological measure is represented by the transformed sequence of data values is more linear than the time course before the transform; a rate of change calculator (135) for calculating an estimated rate of change for the transformed sequence of data values; and a processor (137) for processing the estimated rate of change to output the condition indication.

Pulse wave measuring apparatus, method for measuring pulse waves, program and recording medium

METHOD OF RECONSTRUCTING OPTICAL PROPERTIES OF A SCATTERING MEDIUM WITH A COMBINATION OF A PLURALITY OF TRANSFORMS MELLIN-LAPLACE OF A MAGNITUDE HAVING A TIME DISTRIBUTION OF A RECEIVED SIGNAL, RECONSTRUCTION AND SYSTEM THEREFOR

Metod och anordning för att bestämma en EMG-signal

OTOSCANNING WITH 3D MODELING

An otoscanner including an otoscanner body, the body comprising a hand grip, the body having mounted upon it an ear probe, a tracking illumination emitter, a plurality of tracking illumination sensors, and a display screen, the otoscanner body having mounted within it an image sensor; the ear probe comprising a wide-angle lens optically coupled to the image sensor, laser light source, a laser optical element, and a source of non-laser video illumination; the plurality of tracking illumination sensors disposed upon the otoscanner body so as to sense reflections of tracking illumination emitted from the tracking illumination emitter and reflected from tracking targets installed at positions that are fixed relative to the scanned ear; the image sensor coupled for data communications to a data processor, with the data processor configured so that it functions by constructing a 3D image of the interior of the scanned ear.

SYSTEMS AND METHODS FOR MONITORING HEART FUNCTION

Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function.

METHODS TO MONITOR CONSCIOUSNESS

The present invention relates to methods to measure and or monitor consciousness in a subject, comprising analyzing brain activity with weighted symbolic mutual information (wSMI) and/or Kolgomorov symbolic complexity (KSC). In addition the present invention also relates to methods and apparatus to administer a stimulus and/or a medicament to a subject according to their consciousness level which has been determined using the method described herein.

METHOD FOR INFLUENCING THE ORGANISM

The method relates to the generation of external sound influence by generating musical sounds. The parameters of pitch, volume, and length of these sound, are modified in accordance with the criteria changes in the discrete-current value of a distinctive generalised parameter of the frequency spectrum of a converted biosignal, that is, the bioelectrical potential. Thus, from recorded graphical information concerning bioelectrical activity, time intervals of a same duration are isolated and converted into a frequency spectrum using Fourier's method. A generalised non-dimensional parameter is then determined for each spectrum interval; in the numerical interval between the minimum and the maximum values of this parameter, a scale is constructed that is proportional to the parameters of the musical sound; the corresponding parameter values of the musical sound are then determined for each spectral interval on the basis of the numerical value of the generalised parameter; these corresponding ...

Identify ablation pattern for use in an ablation

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source ...

Systems and methods for determining blood oxygen saturation values using complex number encoding

The disclosure includes pulse oximetry systems and methods for determining point-by-point saturation values by encoding photoplethysmographs in the complex domain and processing the complex signals. The systems filter motion artifacts and other noise using a variety of techniques, including statistical analysis such as correlation, or phase filtering.

SYSTEM AND METHOD FOR ADAPTIVE STIMULUS-RESPONSE SIGNAL FILTERING

A system and method for filtering a signal comprising: receiving a signal of interest; receiving a signal indicating that a stimulus has been applied; receiving the synchronized stimulus signal and signal of interest; recursively selecting a portion of the signal of interest associated with a stimulus being applied and assign the selected portion of the signal of interest to one of the plurality of buffers; combining all responses in each of said plurality of buffers; transforming the combination of all responses in each buffer to a transform space; comparing the transform components of the buffers to determine a scaling factor; applying the scaling factor to the spectral components of the buffers; performing an inverse transform on the result of combining the buffers to return to the time domain to produce a filtered signal, and outputting the filtered signal received from the processor.

MOTION ARTIFACT REDUCTION USING MULTI-CHANNEL PPG SIGNALS

A data processing device (100, 200) is disclosed for extracting a desired vital signal containing a physiological information component from sensor data that includes time-dependent first sensor data (PPG1) comprising the physiological information component and at least one motion artifact component, and that includes time-dependent second sensor data that is indicative of a position, a velocity or an acceleration of the sensed region as a function of time. A decomposition unit (104, 204) decomposes the second sensor data into at least two components of decomposed sensor data and, based on the decomposed second sensor data, provides at least two different sets of motion reference data in at least two different motion reference data channels. An artifact removal unit (106, 206) determines the vital signal formed from a linear combination of the first sensor data and the motion reference data of at least one two of the motion reference data channels.

Methods and Systems for Determining Abnormal Cardiac Activity

The systems and methods can accurately and efficiently determine abnormal cardiac activity from motion data and/or cardiac data using techniques that can be used for long-term monitoring of a patient. In some embodiments, the method for using machine learning to determine abnormal cardiac activity may include receiving one or more may include applying a trained deep learning architecture to each tensor of the one or more periods of time to classify each window and/or each period into one or more classes using at least the one or more signal quality indices for the cardiac data and the motion data and cardiovascular features. The deep learning architecture may include a convolutional neural network, a bidirectional recurrent neural network, and an attention network. The one or more classes may include abnormal cardiac activity and normal cardiac activity.

Signal processing apparatus

The present invention involves method and apparatus for analyzing two measured signals that are modeled as containing primary and secondary portions. Coefficients relate the two signals according to a model defined in accordance with the present invention. In one embodiment, the present invention involves utilizing a transformation which evaluates a plurality of possible signal coefficients in order to find appropriate coefficients. Alternatively, the present invention involves using statistical functions or Fourier transform and windowing techniques to determine the coefficients relating to two measured signals. Use of this invention is described in particular detail with respect to blood oximetry measurements.

System and method for camera-based heart rate tracking

A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates.

ESTIMATION APPARATUS, METHOD AND PROGRAM

An estimation apparatus (30) includes a first estimation unit (31) configured to estimate a first pulse rate from a first video data which is captured a body part and output a first feature data derived based on the first video data; a training unit (32) configured to train a determination model to determine a confidence value which indicates an reliability in the estimation of the first pulse rate and a physiological information measured from the body; an acquiring unit (33) configured to acquire a second feature data derived by the first estimation unit, and acquire the confidence value of the second pulse rate using the second feature data and the determination model trained by the training unit; and a second estimation unit (34) configured to estimate a third pulse rate based on the acquired confidence value.

Blood pressure calculation method and device

... [Subject] Non-invasive method for estimating blood pressure without a cuff and a device for the blood pressure estimation [Resolution means] Systolic blood pressure (EBP) is estimated according to EBP=β1·P1+β2·P2+β0(β1, β2, and β0are coefficients) where parameter P1, which is related to pulse transit time (PTT), and parameter P2, which is related to stroke volume based on pulse waves, are variables.

Classification of impacts from sensor data

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.

Spectral decomposition and display of three-dimensional electrical activity in the cerebral cortex

Systems and methods are provided for measuring electrical activity within a brain of a patient. An electrode array is configured to take measurements of electrical potential as raw electroencephalographic (EEG) data. A data processing component includes a spectral decomposition component configured to divide the raw EEG data into a plurality of frequency intervals, within a total range of frequencies and an inverse solution component configured to transform the raw EEG data associated with each frequency interval into a spatial mapping of electrical activity as to provide a set of parameters, with each parameter representing an average electrical activity at an associated location within the brain over an epoch of interest.

SYSTEM AND METHOD FOR EVALUATING AN ELECTROPHYSIOLOGICAL SIGNAL

A method of evaluating an electrophysiological signal is disclosed. A mathematical reconstruction over at least one cycle of the electrophysiological signal is used to identify an abnormal substrate. A non-transitory computer readable medium is also disclosed. The nontransitory computer readable medium has stored thereon instructions for identifying a pathological substrate from a mathematical reconstruction of an electrophysiological signal, which, when executed by a processor, causes the processor to perform steps comprising using a mathematical reconstruction over many cycles of the electrophysiological signal to identify a pathological state. A system for evaluating an electrophysiological signal includes a processor configured to identify a pathological condition from a mathematical reconstruction of the electrophysiological signal. The system also includes a data input coupled to the processor and configured to provide the processor with the electrophysiological signal. The system further includes a user interface coupled to either the processor or the data input. 1. A method of evaluating an electrophysiological signal , comprising:receiving an electrophysiological signal;applying, using a processor of a computing device, a model-derived reconstruction using a summation series of complex exponentials over at least one cycle of the electrophysiological signal to identify a pathological substrate; anddisplaying, on a user interface, one or more indicators of the electrophysiological signal to represent at least a portion of the electrophysiological signal and the pathological condition of the substrate and predict the risk for adverse clinical outcomes2. The method of claim 1 , wherein the complex exponentials of the model-derived reconstruction of the electrophysiological signal comprises an input/output (I/O) expansion of the electrophysiological signal claim 1 , in which at least one of the terms of the I/O expansion are fractionally differentiable and ...

System and method for data reconstruction in soft-field tomography

A system and method for data reconstruction in soft-field tomography are provided. One method includes selecting a model domain for an EIT data set, determining a minimally anisotropic error in the model domain and correcting the model domain. The method also performing isotropization using the determined minimally anisotropic error to recover a boundary shape and isotropic conductivity for the EIT data set.

Otoscanner With Fan And Ring Laser

An otoscanner including a conical laser-reflective optical element and a laser light source and the conical laser-reflecting optical element are configured so that the conical laser-reflecting optical element, when illuminated by the laser light source, projects a broken ring of laser light upon an interior surface of the ear when the ear probe is positioned in the ear and a diffractive laser optic lens and the laser light source and the diffractive laser optic lens are configured so that the diffractive laser optic lens, when illuminated by the laser light source, projects upon an interior surface of the ear a fan of laser light at a predetermined angle with respect to a front surface of the diffractive laser optic lens when the ear probe is positioned in the ear.

Systems and methods for determining blood oxygen saturation values using complex number encoding

The disclosure includes pulse oximetry systems and methods for determining point-by-point saturation values by encoding photoplethysmographs in the complex domain and processing the complex signals. The systems filter motion artifacts and other noise using a variety of techniques, including statistical analysis such as correlation, or phase filtering.

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

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.

Otoscanner With 3D Imaging And Onboard Tracking

Apparatus and methods for tracking scanner motion with a tracking illumination emitter mounted on a scanner, the scanner including imaging apparatus that captures a sequence of images of a scanned object as the scanner moves with respect to the scanned object; tracking targets installed off the scanner at positions that are fixed relative to a scanned object; one or more tracking illumination sensors mounted on the scanner, the tracking illumination sensors sensing reflections of tracking illumination emitted from the tracking illumination emitter and reflected from the tracking targets as the scanner moves in the process of scanning the scanned object; and one or more data processors, at least one of the data processors coupled for data communications to the tracking illumination sensors, the data processor determining, as the scanner moves, tracked positions of the scanner based upon values of the reflections. 1. A tracker for scanner motion , the tracker comprising:a tracking illumination emitter mounted on a scanner, the scanner including imaging apparatus that captures a sequence of images of a scanned object as the scanner moves with respect to the scanned object;tracking targets installed off the scanner at positions that are fixed relative to a scanned object;one or more tracking illumination sensors mounted on the scanner, the tracking illumination sensors sensing reflections of tracking illumination emitted from the tracking illumination emitter and reflected from the tracking targets as the scanner moves in the process of scanning the scanned object; andone or more data processors, at least one of the data processors coupled for data communications to the tracking illumination sensors, the data processor determining, as the scanner moves, tracked positions of the scanner based upon values of the reflections.2. The tracker of further comprising at least one of the processors configured so that it:determines the position of the scanner in object space when ...

Otoscanner With 3D Imaging And Structure-From-Motion

Determination of structure-from-motion that includes a scanner body having mounted upon it a tracking illumination emitter and one or more tracking illumination sensors, the tracking illumination sensors disposed upon the scanner body so as to sense reflections of tracking illumination, the scanned object characterized by an object space defined by fixed positions of tracking targets; the scanner body having mounted within it an image sensor, the scanner body characterized by a scanner space, the image sensor coupled for data communications to a data processor and a computer memory, the image sensor and the processor capturing one or more images of the scanned object; and the data processor configured so that it determines by structure-from-motion, based upon the one or more captured images and tracked positions of the probe inferred from reflections of tracking illumination, the location in object space of a feature of the scanned object. 1. A scanner for determination of structure-from-motion , the scanner comprising:a scanner body having mounted upon it a tracking illumination emitter and one or more tracking illumination sensors, the tracking illumination sensors disposed upon the scanner body so as to sense reflections of tracking illumination emitted from the tracking illumination emitter and reflected from tracking targets installed at positions that are fixed relative to a scanned object, the scanned object characterized by an object space defined by the fixed positions of the tracking targets;the scanner body having mounted within it an image sensor, the scanner body characterized by a coordinate system defining a scanner space, the image sensor coupled for data communications to a data processor and a computer memory, the image sensor and the processor capturing one or more images of the scanned object; andthe data processor configured so that it determines by structure-from-motion, based upon the one or more captured images and tracked positions of the ...

MEDICAL IMAGE IMAGING METHOD, MEDICAL DIAGNOSTIC APPARATUS USING THE SAME, AND RECORDING MEDIUM THEREFOR

A medical diagnostic apparatus includes a data obtainer, which obtains an image frame included in a region to be imaged; and a data processor, which processes the obtained frame and obtains a medical image. The data obtainer includes a composite image generator, which generates a composite image by using the image frame; and a medical image obtainer, which compensates the composite image by using the image frame and boundary conditions corresponding to image signals included in the composite image and obtains the medical image by using the compensated composite image. 1. An imaging method for obtaining a medical image by a medical imaging apparatus , the imaging method comprising:obtaining an image frame included in an imaging region of an object;generating a composite image by using the image frame;compensating the composite image by using the image frame and boundary conditions corresponding to image signals included in the composite image; andobtaining the medical image by using the compensated composite image.2. The imaging method of claim 1 , wherein the boundary conditions comprise a maximum value and a minimum value of the image signals included in the composite image claim 1 , andthe compensating the composite image comprises setting a maximum offset value and a minimum offset value, so that levels of the image signals included in the composite image have positive values, based on the maximum value and the minimum value of the image signals included in the composite image.3. The imaging method of claim 2 , wherein the compensating the composite image comprises:applying the maximum offset value to the image frame, so that levels of image signals included in the image frame have positive values;applying the maximum offset value to the composite image, so that the levels of image signals included in the composite image have positive values;compensating the composite image, to which the maximum offset value is applied, by using the image frame, to which the ...

EVALUATING IMPEDANCE MEASUREMENTS

An impedance measurement system for performing a bioimpedance measurement on a biological subject, the system including a signal generator configured to apply alternating signals to at least part of the biological subject at a plurality of different frequencies, a sensor configured to measure response signals from the biological subject and one or more electronic processing devices that determine impedance values obtained at the plurality of different frequencies using the measured response signals, calculate an impedance curve using a curve fitting algorithm, determine a deviation of the impedance curve from the impedance measurements and use the deviation to perform an evaluation of the impedance measurements. 1) An impedance measurement system for performing a bioimpedance measurements on a biological subject , the system including:a) a signal generator configured to apply alternating signals to at least part of the biological subject at a plurality of different frequencies;b) a sensor configured to measure response signals from the biological subject; and, i) determine impedance values obtained at the plurality of different frequencies using the measured response signals;', 'ii) calculate an impedance curve using a curve fitting algorithm;', 'iii) determine a deviation of the impedance curve from the impedance measurements; and,', 'iv) use the deviation to perform an evaluation of the impedance measurements., 'c) one or more electronic processing devices that2) (canceled)3) A system according to claim 1 , wherein the evaluation of the impedance measurements is used to at least one of:a) determine an impedance measurement validity;b) categorise the impedance measurement;c) cause the impedance measurement to be repeated; and, i) a measurement validity;', 'ii) a measurement error; and,', 'iii) a measurement categorisation., 'd) derive an indicator indicative of at least one of4) A system according to claim 1 , wherein the impedance measurement is categorised as ...

BIOLOGICAL INFORMATION PROCESSING DEVICE, BIOLOGICAL INFORMATION PROCESSING SYSTEM, BIOLOGICAL INFORMATION COMPRESSION METHOD, AND BIOLOGICAL INFORMATION COMPRESSION PROCESSING PROGRAM

This biological information processing device is provided with: a peak detection unit for detecting the peaks of a biological signal generated in a cardiac cycle; a waveform clipping unit for clipping out a first peak-to-peak biological signal between two peaks, which are adjacent on the time axis of the biological signal, on the basis of detection results of the peak detection unit; and a resampling unit for transforming the first peak-to-peak biological signal to a second peak-to-peak biological signal for a prescribed number of samples. The biological information processing device is further provided with: an orthogonal transformation unit for generating orthogonal transformation coefficients by performing an orthogonal transformation on the second peak-to-peak biological signal; a differential processing unit for generating a differential signal for the orthogonal transformation coefficients on the time axis; and an encoding unit for encoding the differential signal. 1. A biological information processing device , comprising:a peak detection unit configured to detect peaks of a biological signal generated in a cardiac cycle;a waveform clipping unit configured to clip out a first peak-to-peak biological signal between two peaks, which are adjacent on a time axis of the biological signal, on the basis of detection results of the peak detection unit;a resampling unit configured to transform the first peak-to-peak biological signal to a second peak-to-peak biological signal of a prescribed number of samples;an orthogonal transformation unit configured to generate orthogonal transformation coefficients by performing an orthogonal transformation on the second peak-to-peak biological signal;a differential processing unit configured to generate a differential signal of the orthogonal transformation coefficients on the time axis; andan encoding unit configured to encode the differential signal.2. The biological information processing device according to claim 1 , further ...

Medical devices for mapping cardiac tissue

Medical devices and methods for making and using medical devices are disclosed. An example method may include a method of mapping the electrical activity of a heart. The method may include sensing a plurality of signals with a plurality of electrodes positioned within the heart, determining a dominant frequency of the plurality of signals and generating an alternate signal for each of the plurality of signals corresponding to the dominant frequency. The alternate signals may have a phase-shift corresponding to one of the plurality of signals. The method may also include displaying a characteristic of the alternate signal over time.

Biological information measurement apparatus, method, and program

Provided is a technique for detecting a state of an occurrence of a body motion of a measurement target person affecting measurement by using an apparatus configured to measure biological information using a radio wave. A biological information measurement apparatus (1) according to an aspect of the present disclosure includes: a transmitter (3) configured to transmit a radio wave to a measurement site of a living body; a receiver (4) configured to receive a reflected wave of the radio wave by the measurement site and output a waveform signal of the reflected wave; a feature extractor (1051) configured to extract information indicating a feature of a waveform from the waveform signal; and a body motion detector (1052) configured to detect a state of an occurrence of a body motion of the living body affecting measurement of the biological information, based on the extracted information indicating the feature of the waveform.

MOTION-DEPENDENT AVERAGING FOR PHYSIOLOGICAL METRIC ESTIMATING SYSTEMS AND METHODS

Physiological signal processing systems include a photoplethysmograph (PPG) sensor that is configured to generate a physiological waveform, and an inertial sensor that is configured to generate a motion signal. A physiological metric extractor is configured to extract a physiological metric from the physiological waveform that is generated by the PPG sensor. The physiological metric extractor includes an averager that has an impulse response that is responsive to the strength of the motion signal. Related methods are also described. 1. A physiological signal processing system comprising:a photoplethysmograph (PPG) sensor that is configured to generate a physiological waveform;an inertial sensor that is configured to generate a motion signal; anda physiological metric extractor that is configured to extract a physiological metric from the physiological waveform that is generated by the PPG sensor;the physiological metric extractor including an averager having an impulse response that is responsive to the motion signal.2. A physiological signal processing system according to wherein the impulse response of the averager is responsive to a strength of the motion signal.3. A physiological signal processing system according to :wherein the strength of the motion signal comprises a maximum, sum of squares, maximum of squares, sum of absolute values, maximum of absolute values, root-sum-squares, root-mean-squares and/or decimation of a magnitude of the motion signal over a given time interval; orwherein the impulse response has a first value in response to the strength of the motion signal exceeding a first threshold and a second value in response to the strength of the motion signal being less than a second threshold, and wherein the first value of the impulse response sets a first averaging window size of the averager and the second value of the impulse response sets a second averaging window size of the averager; orwherein the impulse response and/or an averaging window ...

Method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic light scattering (dls)

A method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic scattering light (DLS) is disclosed herein. In particular, a non-pulsatile blood-shear-rate-descriptive (BSRD) signal(s) is optically generated and analyzed. In some embodiments, the BSRD signal is generated dynamically so as to adaptively maximize (i.e. according to a bandpass or frequency-selection profile) a prominence of a predetermined non-pulsatile physiological signal within the BSRD. In some embodiments, the BSRD is subjected to a stochastic or stationary-status analysis. Alternatively or additionally, the neurological or fitness state may be computed from multiple BSRDs, including two or more of: (i) a [sub-200 Hz, ˜300 Hz] BSRD signal; (ii) a [˜300 Hz, ˜1000 Hz] signal; (iii) a [˜1000 Hz, ˜4000 Hz] signal and (iv) a [˜4000 Hz, z Hz] (z>=7,000) signal.

DEVICE AND METHOD FOR EXTRACTING HEART RATE INFORMATION

A data processing device () determines heart rate information regarding a subject of interest () from time-dependent sensor data () that includes physiological sensor data () comprising a heart beat component and at least one motion artifact component, and that further includes motion sensor data (). A reconstruction unit receives artifact-removed physiological sensor data () and decomposes it into a plurality of artifact-removed physiological sensor data components () with associated component amplitudes, and provides reconstructed heart beat component data () as a combination of a component subset of at least two of the artifact-removed physiological sensor data components () of highest component amplitudes. A beat analysis unit receives the reconstructed heart beat component data () and determines an interbeat interval from the heart beat component data () as the heart rate information, and provides a heart rate information signal () based on the determined heart rate information. 1. A data processing device for determining heart rate information regarding a subject of interest from time-dependent sensor data that includes physiological sensor data comprising a heart beat component and at least one motion artifact component , and that further includes motion sensor data , which is indicative of a velocity or an acceleration of a sensed region of the subject of interest , the data processing device comprising:a motion-artifact removal unit, configured to receive the sensor data, to apply a motion-artifact-removal algorithm to the physiological sensor data using the motion sensor data and to provide artifact-removed physiological sensor data;a reconstruction unit, configured to receive the artifact-removed physiological sensor data and to decompose the artifact-removed physiological sensor data into a plurality of artifact-removed physiological sensor data components with associated component amplitudes, and to provide reconstructed heart beat component data as a ...

Methods and Apparatus for Neuromodulation

A neuromodulator accurately measures—in real time and over a range of frequencies—the instantaneous phase and amplitude of a natural signal. For example, the natural signal may be an electrical signal produced by neural tissue, or a motion such as a muscle tremor. The neuromodulator generates signals that are precisely timed relative to the phase of the natural signal. For example, the neuromodulator may generate an exogenous signal that is phase-locked with the natural signal. Or, for example, the neuromodulator may generate an exogenous signal that comprises short bursts which occur only during a narrow phase range of each period of an oscillating natural signal. The neuromodulator corrects distortions due to Gibbs phenomenon. In some cases, the neuromodulator does so by applying a causal filter to a discrete Fourier transform in the frequency domain, prior to taking an inverse discrete Fourier transform. 1. An apparatus comprising:(a) one or more sensors that are configured to measure a physiological signal; (i) to calculate a discrete signal that consists of samples of the physiological signal,', '(ii) to calculate a second signal, which second signal is a discrete Fourier transform of the discrete signal,', '(iii) to calculate a smoothed signal, by performing calculations that include (A) applying a causal filter to the second signal, which causal filter deforms a front-segment but not an end-segment of the second signal in such a way that the start point of the smoothed signal is equal in value to the endpoint of the smoothed signal, and (B) removing negative frequency components,', '(iv) to calculate an analytic signal, which analytic signal is equal to an inverse discrete Fourier transform of the smoothed signal,', '(v) to calculate, based on the analytic signal, instantaneous phase of the physiological signal, and', '(vi) to output instructions, based on the instantaneous phase; and, '(b) one or more computers that are programmed'}(c) one or more ...

System and method for estimating cognitive traits

The present disclosure envisages a computer implemented system and method to derive a relationship between Elementary Cognitive Tasks (ECTs) and the underlying cognitive skills of individuals through Electroencephalogram (EEG) analysis. The aim is to evaluate or improve the perceptual-cognitive traits of a subject that comprises disintegrating a given task into elementary task that are further mapped to identified cognitive categories of Bloom's Taxonomy, upon which a cluster analysis is performed. The separation index between the clusters thereafter establishes that individuals have different thinking process which is characteristics of that subject.

Methods and Apparatus for Neuromodulation

A neuromodulator accurately measures—in real time and over a range of frequencies—the instantaneous phase and amplitude of a natural signal. For example, the natural signal may be an electrical signal produced by neural tissue, or a motion such as a muscle tremor. The neuromodulator generates signals that are precisely timed relative to the phase of the natural signal. For example, the neuromodulator may generate an exogenous signal that is phase-locked with the natural signal. Or, for example, the neuromodulator may generate an exogenous signal that comprises short bursts which occur only during a narrow phase range of each period of an oscillating natural signal. The neuromodulator corrects distortions due to Gibbs phenomenon. In some cases, the neuromodulator does so by applying a causal filter to a discrete Fourier transform in the frequency domain, prior to taking an inverse discrete Fourier transform. 2. The method of claim 1 , wherein the physiological signal is an electrical signal.3. The method of claim 1 , wherein the physiological signal is motion caused by a physiological tremor.4. The method of claim 1 , wherein the calculations include computing a discrete Fourier transform of the periodic discrete signal and then applying a causal filter to the discrete Fourier transform.5. The method of claim 1 , wherein the calculations include:(a) front-padding the periodic discrete signal with a copy of an end segment of the periodic discrete signal to create a padded signal;(b) then applying a causal filter to the padded signal; and(c) then removing a front segment of the padded signal.6. The method of claim 1 , wherein the signal that affects the activity of neural tissue is phase-coordinated with the physiological signal.8. The apparatus of claim 7 , wherein the physiological signal is an electrical signal.9. The apparatus of claim 7 , wherein the physiological signal is motion caused by a physiological tremor.10. The apparatus of claim 7 , wherein the ...

Fetal Heart Rate Extraction from Maternal Abdominal ECG Recordings

System () for extracting a fetal heart rate from at least one maternal signal using a computer processor (). The system includes sensors (-) attached to a patient to receive abdominal ECG signals and a recorder and digitizer () to record and digitize each at least one maternal signal in a maternal signal buffer (A-D). The system further includes a peak detector () to identify candidate peaks in the maternal signal buffer. The signal stacker () of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter () to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier () for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger () to calculate and merge the fetal heart rate from the identified peaks. 1. A system for extracting a fetal heart rate from a measured ECG signal , the measured ECG signal including a fetal ECG signal , a maternal ECG signal , and noise , the system comprising:a display; andat least one computer processor programmed to:receive abdominal ECG signals from at least one sensor attached to a patient;record and digitize each measured ECG signal in a measured ECG signal buffer; and a peak detector configured to identify candidate peaks in the measured ECG signal buffer;', 'a spatial filter configured to identify and attenuate a maternal QRS signal in the plurality of snippets of the measured ECG signal buffer, the spatial filter including orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer;', 'a signal stacker configured to ...

METHODS FOR DETECTION AND CONFIDENCE EVALUATION OF VITAL SIGN SIGNAL

In a method for detection of vital sign signal, a variation detection module is configured to determine whether there is a living body in an image captured by an image capture module, next, a beam direction of a vital sign sensing system is directed toward the living body to detect vital sign signal of the living body, and a compute module is configured to compute eigenvalue and confidence of the vital sign signal so as to reconfirm whether the determined living body in the image is a living body having vital signs. 1. A method for detection of a vital sign signal , comprising:capturing an image by using an image capture module;determining whether there is a living body captured in the image by using a variation detection module;changing a beam direction of a vital sign sensing system toward the living body;detecting a vital sign signal of the living body by using the vital sign sensing system;receiving the vital sign signal from the vital sign sensing system and computing a eigenvalue of the vital sign signal by using a compute module; andevaluating a confidence of the vital sign signal according to the eigenvalue of the vital sign signal by using the compute module.2. The method in accordance with claim 1 , wherein the image capture module is an optical camera claim 1 , an infrared camera claim 1 , a radar claim 1 , an ultrasonic imaging system or a thermal imaging camera.3. The method in accordance with further comprising a step of transforming an image coordinate of the image into a real coordinate by using the variation detection module before the step of changing the beam direction of the vital sign sensing system.4. The method in accordance with claim 1 , wherein the vital sign sensing system includes an actuator configured to change the beam direction of the vital sign sensing system.5. The method in accordance with claim 1 , wherein the vital sign sensing system includes a plurality of antennas configured to radiate a beam to change the beam direction ...

SYSTEMS AND METHODS FOR DIAGNOSING SLEEP

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

CONTINUOUS AND RAPID QUANTIFICATION OF STROKE VOLUME FROM MAGNETOHYDRODYNAMIC VOLTAGES IN MAGNETIC RESONANCE IMAGING

Described here are systems and methods for providing a non-invasive and continuous quantitative measurement of left ventricular stroke volume (“SV”) and flow volume during a magnetic resonance imaging (“MRI”) scan. In general, the method estimates quantitative measurements of SV from magnetohydrodynamic (“MHD”] voltages generated by blood flowing through the subject's vasculature while the subject is positioned in the magnetic field of an MRI system. A rapid calibration technique is provided to convert MHD voltages to estimates of blood flow, from which quantitative measurements of SV can be computed. 1. A method for computing a measurement of loft ventricular stroke volume from a subject positioned in a bore of a magnetic resonance imaging (MRI) system , the steps of the method comprising:(a) recording electrocardiogram (ECG) measurements from a subject positioned in a bore of an MRI system;(b) estimating magnetohydrodynamic voltage (VMHD) measurements from the ECG measurements;(c) generating a VMHD vector by converting the VMHD measurements to a vectorcardiogram reference frame;(d) generating calibration data by correlating the VMHD vector to a standard measure of blood flow obtained from the subject;(e) generating a VMHD-based blood flow measurement by converting the VMHD vector to the VMHD-based blood flow measurement using the calibration data; and(f) computing a stroke volume measurement from the VMHD-based blood flow measurement.2. The method as recited in claim 1 , wherein step (b) includes providing to the computer system claim 1 , ECG measurements acquired from the subject when the subject was not positioned in the bore of the MRI system and estimating the VMHD measurements by computing a difference between the ECG measurements recorded in step (a) and the provided ECG measurements acquired from the subject when the subject was not positioned in the bore of the MRI system.3. The method as recited in claim 1 , wherein step (c) includes generating the VMHD ...

MEDICAL SYSTEM FOR MAPPING CARDIAC TISSUE

Medical devices and methods for making and using medical devices are disclosed. An example system for mapping the electrical activity of the heart includes a catheter shaft. The catheter shaft includes a plurality of electrodes including a first and a second electrode. The system also includes a processor. The processor is capable of collecting a first signal corresponding to a first electrode over a time period and generating a first time-frequency distribution corresponding to the first signal. The first time-frequency distribution includes a first dominant frequency value representation occurring at one or more first base frequencies. The processor is also capable of applying a filter to the first signal or derivatives thereof to determine whether the first dominant frequency value representation includes a single first dominant frequency value at a first base frequency or two or more first dominant frequency values at two or more base frequencies. 1. A system for mapping the electrical activity of the heart , the system comprising:a catheter shaft, wherein a plurality of electrodes is coupled thereto; receive a signal from a first electrode of the plurality of electrodes over a time period;', 'generate a time-frequency distribution corresponding to the signal, wherein the time-frequency distribution includes a dominant frequency value representation, wherein the dominant frequency representation includes one or more dominant frequency values occurring at one or more base frequencies;', 'modify the signal using one or more harmonic components of the signal or derivatives thereof to facilitate determining if the one or more dominant frequency values includes a single dominant frequency value or a plurality of dominant frequency values; and', 'determine if the one or more dominant frequency values includes a single dominant frequency value or a plurality of dominant frequency values., 'a processor, wherein the processor is configured to2. The system of claim 1 , ...

SYSTEMS AND METHODS FOR MEASUREMENT OF HEART RATE AND OTHER HEART-RELATED CHARACTERISTICS FROM PHOTOPLETHYSMOGRAPHIC (PPG) SIGNALS USING COLLISION COMPUTING

In a noninvasive system for measurement of heart rate and other heart-related characteristics a photoplethysmogram (PPG) obtained from a tissue is divided into several feature waveforms, each corresponding to a PPG window of a particular length. Conditioned features, containing frequency components specific to heart-related events, are derived from the features by modulating a carrier kernel with such features. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. For each conditioned feature, one or more collisions selectively amplify frequency components in features sourced from PPG, and respective energy change values are obtained from such amplified energy portions. The resulting energy change values are analyzed to determine a smallest time-window likely containing heart rate and other heart-related events in the PPG data stream. Over time, the detected events are grouped and analyzed to determine heart rate and other heart-related characteristics. 1254.-. (canceled)255. A method for generating features for measurement of heart beats , the method comprising:receiving a signal based on one of reflected and transmitted radiation from a tissue during a global time interval starting at a global start time and ending at a global end time;designating a first portion of the signal starting at the global start time and ending at a first end time less than the global end time as a first feature;designating a second portion of the signal starting at the global start time and ending at a second end time greater than the first end time as a second feature; andidentifying a start of a heart-beat cycle within the first feature.256. The method of claim 255 , further comprising:determining that an expected end of the heart-beat cycle is absent within the first portion of the signal, designated as the first feature; anddesignating the first feature as a non-analyte feature.257. The method of claim 256 ...

Image Capturing Apparatus and Method

To acquire a higher-quality image with high-speed imaging in an MRI apparatus or the like to which compressed sensing is applied. Included are: an observation unit that does not observe, when any one of two points being point-symmetric with respect to the origin is observed, the other point in observation of a high frequency component of a K-space of the MRI apparatus; and a reconstruction unit that reconstructs an image from a component of the K-space observed by the observation unit. The reconstruction process of the reconstruction unit includes an image correction process based on an observation pattern of the observation unit. 1. An image capturing apparatus that images an image of a subject , the image capturing apparatus comprising:an observation unit which performs observation of the subject and outputs observation data; anda reconstruction unit which reconstructs an image from the observation data from the observation unit, 'acquires the observation data based on an observation pattern to perform sparse observation, and', 'wherein the observation unit'} 'performs an image correction process based on the observation pattern with respect to the observation data.', 'the reconstruction unit'}2. The image capturing apparatus according to claim 1 , whereinthe image capturing apparatus is a magnetic resonance imaging (hereinafter, referred to as MRI) apparatus, andthe observation data is data of a K-space.3. The image capturing apparatus according to claim 2 , whereinthe observation pattern of the observation unit is a parallel-line form, andthe image correction process of the reconstruction unit includes a horizontal edge smoothing process.4. The image capturing apparatus according to claim 2 , whereinthe observation pattern of the observation unit is a radial form or a random form, andthe image correction process of the reconstruction unit includes a smoothing process.5. The image capturing apparatus according to claim 2 , whereinthe reconstruction unit performs ...

SYSTEM AND METHOD FOR DETECTING FLUID ACCUMULATION

A system is provided for detecting fluid accumulation in a subject. A movement induced by the beating of the heart is analyzed over time, by monitoring a movement, pressure or force. Changes in density caused by fluid accumulation result in changes in the sensor arrangement signals. Changes are used to indicate that fluid accumulation such as internal bleeding is likely to have taken place. 1. A system for detecting fluid accumulation in a body region of a subject , comprising:a sensor arrangement for obtaining a force, motion or pressure signal, induced by the beating of the heart of the subject, wherein the signal varies in dependence on the density distribution of the body region; anda processor, which is adapted to analyze changes in the sensor arrangement signals over time thereby to determine that fluid accumulation has taken place based on detecting changes in said density distribution.2. The system as claimed in claim 1 , wherein the sensor arrangement is:for location on an opposite side of the body region to the heart of the subject; orfor sensing from an opposite side of the body region to the heart of the subject; orfor sensing movement of an object coupled to the subject in such a way that movement of the object is induced by the beating of the heart.3. The system as claimed in claim 1 , wherein the sensor arrangement comprises:one or more pressure sensors; and/orone or more inertial sensors.4. The system as claimed in claim 1 , wherein the sensor arrangement comprises:a sensor arrangement for wearing on the head;a sensor arrangement for wearing around the waist;a sensor arrangement for wearing on the back;a sensor arrangement for wearing on the leg or feet;a sensor arrangement on which the subject is to stand, sit or lie;a non-contact sensor.5. The system as claimed in claim 1 , wherein the processor is adapted to:perform feature extraction to isolate a feature of interest of the ballistocardiography signal;determine a parameter of the feature of ...

SYSTEM AND METHOD FOR CAMERA-BASED HEART RATE TRACKING

A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates. 1. A method for camera-based heart rate tracking of a human subject , the method comprising:receiving a captured image sequence of light re-emitted from the skin of the human subject;determining, using a machine learning model trained with a hemoglobin concentration (HC) changes training set, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject, the set of bitplanes being those that are determined to approximately maximize a signal-to-noise ratio (SNR), the HC changes training set comprising bit values from each bitplane of images captured from a set of subjects for which heart rate is known;determining a facial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes;applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals;applying a Hilbert transform to each of the blood flow data signals;adjusting the blood flow data signals from revolving phase-angles into linear phase segments;determining an instantaneous heart rate for each the blood flow data ...

VENTRICULAR FIBRILLATION DETECTION

Systems and techniques are disclosed for determining the onset and offset of a ventricular fibrillation event and for distinguishing ventricular fibrillation from noise. In some examples, an electrocardiogram (ECG) signal is obtained; a transform is applied to the ECG signal to obtain an analytical pair, the analytical pair including the ECG signal and the transformed ECG signal; a speed-amplitude is determined from the analytical pair; and an onset of a ventricular fibrillation event is identified based at least one of a value of a cost function of the speed-amplitude over a window and a quantity of occurrences the speed-amplitude crosses a threshold over the window. 1. A method for detecting a ventricular fibrillation event in an electrocardiogram (ECG) signal , the method comprising:applying a transform to the an ECG signal to obtain an analytical pair, the analytical pair including the ECG signal and the transformed ECG signal;determining a speed-amplitude from the analytical pair; andidentifying an onset or offset of a ventricular fibrillation event based on a value of a cost function of the speed-amplitude over a window.2. The method of claim 1 , wherein the transformation comprises a Hilbert transformation.3. The method of claim 1 ,wherein the threshold comprises a first threshold; andwherein identifying the onset or offset of the ventricular fibrillation event comprises identifying the onset or offset of the ventricular fibrillation based on:the value of the cost function of the speed-amplitude over the window,the quantity of occurrences that the speed-amplitude crosses the first threshold over the window, anda quantity of occurrences that the speed amplitude crosses a second, different threshold over the window.4. The method of claim 3 , wherein identifying the onset or offset of the ventricular fibrillation event comprises determining for the window that:the value of the cost function meets a first parameter,the quantity of occurrences that the speed- ...

IMPROVED METHOD AND RELEVANT APPARATUS FOR THE DETERMINATION OF THE BODY CONDITION SCORE, BODY WEIGHT AND STATE OF FERTILITY

The present invention relates to a method for calculating the body condition score—BCS, the weight of an animal and its state of fertility by means of the mathematical processing of some characteristic morphological traits of the observed subject, which makes use of at least one contact or no-contact detection device of the profile 109 of the animal, at least a data processing unit and a program that implements a specific mathematical method of interpretation. By such a method, the determination of the body condition and its synthetic index or fattening index or FI, is independent of species, race, gender, age and absolute size of the examined animal. This method is also robust to possible errors of positioning of the apparatus by an operator. 1107. Method for determination of an numeric index indicative of the energy reserves in the form of fat stored by an animal () dead or living of any species and race , including humans , for example the body condition score or the body mass index , characterized in that the following steps are performed:{'b': '109', 'A. digitally detecting, by means of optical detection of reference elements, applied or projected on the body of the observed subject, or by another type of detection system, with contact or without contact, of at least a profile () of an anatomical region of morphological interest, said at least a profile being defined as the shape of the curve that describes at least part of the outer perimeter of a section of said anatomical region, such a curve lying on an imaginary plane intersecting said anatomical region;'}{'b': '109', 'B. sending said at least a profile () of the step A to at least one data processing unit (E);'}{'b': '109', 'C. Calculating a numerical index R indicative of the energy reserves in the form of fat accumulated by the animal, in particular in said anatomical region, by at least a data processing unit (E) on the basis of said at least a profile () of step A;'}D. correlating, in said at least ...

DEVICE AND METHOD FOR TRACKING THE POSITION OF AN ENDOSCOPE WITHIN A PATIENT'S BODY

Systems and methods of tracking the position of an endoscope within a patient's body during an endoscopic procedure is disclosed. The devices and methods include determining a position of the endoscope within the patient in the endoscope's coordinate system, capturing in an image fiducial markers attached to the endoscope by an external optical tracker, transforming the captured fiducial markers from the endoscope's coordinate system to the optical tracker's coordinate system, projecting a virtual image of the endoscope on a model of the patient's organ, and projecting or displaying the combined image. 1. An endoscope system having an endoscope handle and an endoscope body adapted to be inserted into a gastrointestinal tract of a patient , the system comprising:a plurality of orientation markers positioned on said endoscope handle, and at least one orientation marker positioned on a patient bed;a plurality of touch sensors positioned at different locations longitudinally along the endoscope body, wherein each of said plurality of touch sensors is adapted to generate first orientation data;one or more cameras positioned external to said patient and adapted to detect one or more of said plurality of orientation markers and generate second orientation data;a controller adapted to receive said first orientation data and second orientation data, generate a virtual model of the patient's gastrointestinal tract showing a position of the endoscope within the patient's gastrointestinal tract, and generate data related to the positioning of the patient on the patient bed; anda projector adapted to receive the data indicative of the virtual model from the controller and project the virtual model onto the patient.2. The endoscope system of claim 1 , wherein the data indicative of a position of said endoscope body includes positions of all of the endoscope body that has entered into the gastrointestinal tract of the patient.3. The endoscope system of claim 1 , wherein the touch ...

TELEPHONE BASED TELE-HEALTH APPARATUS

A tele-health apparatus includes a telephone having a microphone, an auscultation piece to acquire sounds, and a solid medium acoustically coupling the auscultation piece to the microphone. The auscultation piece is part of a stethoscope, and the solid medium is a windpipe of the stethoscope. The tele-health apparatus also includes an otoscope operable to be disposed in front of a camera of the telephone. A clip holds the stethoscope and the otoscope, and is fixed to the phone. Software modules installed in the telephone enable the tele-health apparatus to engage a user in a two-way audio and/or video consultation with a physician at a remote device in real-time. 1. A tele-health apparatus comprising:a telephone comprising a microphone;an auscultation piece to acquire sounds; anda solid medium acoustically coupling the auscultation piece to said microphone.2. The tele-health apparatus of claim 1 , wherein said auscultation piece is part of a stethoscope claim 1 , and the solid medium is a windpipe of the stethoscope.3. The tele-health apparatus of claim 2 , wherein said telephone further comprises a camera claim 2 , the tele-health apparatus further comprising an otoscope operable to be disposed in front of said camera.4. The tele-health apparatus of claim 3 , further comprising a clip to hold said stethoscope and said otoscope claim 3 , wherein said clip is fixed to said telephone.5. The tele-health apparatus of claim 3 , said telephone further comprising:a first software module coupled to receive heart auscultation audio and lung auscultation audio from said microphone, and to transmit said heart and lung auscultation audio in real-time to a remote communication device for analysis by a remote physician, said first software module to also play, synchronous with said transmission, said auscultation audio on an audio rendering unit in said telephone.6. The tele-health apparatus of claim 5 , said telephone further comprising:a second software module coupled to ...

ADHERENCE-INDEPENDENT HOME HEALTH MONITOR SYSTEM

A health monitor system is provided. The health monitor system is a non-contact, adherence-independent home health monitoring system that longitudinally quantifies dynamic forces across diverse amplitudes and time scales to measure weight, respirations, and ballistocardiograms each night, as people sleep in the comfort of their home beds. Weights and respiratory signals are demixed even when users share the bed with a partner or pet. The incorporated technology is scalably manufacturable and thus inexpensive compared to implantable medical devices intended for the same purpose. 1. A system , comprising:a plurality of sensors, each of the plurality of sensors configured to engage with an article on which a first user is positioned, and each of the plurality of sensors configured to measure force;a communication module in communication with each of the plurality of sensors, wherein the communication module receives force data transmitted from each of the plurality of sensors; and{'claim-text': ['at least one data processor; and', {'claim-text': ['receive, from the communication module, the force data;', 'transform, in response to a change in the force data indicative of a change in a load on the article and based on a determination of a plurality of physiological sources on the article, the force data from each of the plurality of sensors into a corresponding plurality of physiological signals; and', 'determine, based on the plurality of physiological signals, a source physiological signal for each of the plurality of physiological sources;', {'claim-text': ['separating into components each of the plurality of physiological signals, wherein the components correspond to each of the plurality of physiological sources at each of the plurality of sensors; and', 'compositing the separated components for each of the plurality of physiological sources, wherein the compositing forms the source physiological signal for each of the plurality of physiological sources.'], '#text ...

SYSTEMS AND METHODS FOR ESTABLISHING THE STIFFNESS OF A BONE USING MECHANICAL RESPONSE TISSUE ANALYSIS

Parametric model based computer implemented methods for determining the stiffness of a bone, systems for estimating the stiffness of a bone in vivo, and methods for determining the stiffness of a bone. The computer implemented methods include determining a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f) and fitting a parametric mathematical model to Y(f) and to H(f). The systems include a device for measuring the stiffness of the bone in vivo and a data analyzer to determine a complex compliance frequency response function Y(f) and an associated complex stiffness frequency response function H(f). The methods for determining the stiffness include fitting a parametric model to stiffness of the skin-bone complex as a function of frequency H(f) and the compliance of the skin-bone complex as a function of frequency Y(f). 1. A parametric model based computer implemented method for determining the stiffness of a bone , comprising:(1) applying a superposition of static and oscillatory forces (F) over a range of frequencies (f) to a region of a skin-bone complex thereby exciting oscillatory accelerations (a) over the range of frequencies (f) of the skin-bone complex; (i) transform a(t) and F(t) to functions of frequency, a(f) and F(f),', '(ii) reduce a(f) and F(f) to accelerance frequency response function data A(f),', '(iii) determine, a complex compliance frequency response function, Y(f) and associated complex stiffness frequency response function H(f),', {'sub': 'B', '(iv) fit a parametric mathematical model to Y(f) to obtain a first set of parameters of the parametric mathematical model, including the stiffness of the bone (K),'}, {'sub': 'B', '(v) fit the parametric mathematical model to H(f) to obtain a second set of parameters of the parametric mathematical model, including the stiffness of the bone (K),'}, '(vi) determine discrepancies between the first set of parameters and the second set of ...

METHOD OF ESTIMATING RESPIRATORY RATE AND ELECTRONIC APPARATUS THEREOF

A method of estimating a respiratory rate and an electronic apparatus are provided. The method includes following steps. A physiological signal is obtained. A wave signal associated with baseline drift is extracted from the physiological signal. A wave number of the wave signal is counted, and the respiratory rate is estimated according to the wave number. 1. A method of estimating a respiratory rate , comprising:obtaining a physiological signal;extracting a wave signal associated with baseline drift from the physiological signal;counting a wave number of the wave signal; andestimating the respiratory rate according to the wave number.2. The method as claimed in claim 1 , wherein the step of extracting the wave signal from the physiological signal comprises:extracting the wave signal from a sub-band of a frequency band of the physiological signal.3. The method as claimed in claim 1 , wherein the step of extracting the wave signal from the physiological signal comprises:filtering the physiological signal by passing the physiological signal through at least one band-pass filter to obtain the wave signal, wherein a passband of the band-pass filter comprises a range from approximately 0.1 (Hz) to 0.6 (Hz).4. The method as claimed in claim 1 , wherein before the step of extracting the wave signal from the physiological signal claim 1 , the method further comprises:down-sampling the physiological signal before extracting the wave signal from the physiological signal at a sampling frequency, wherein the sampling frequency is approximately 20 (Hz).5. The method as claimed in claim 1 , wherein the wave number of the wave signal is counted by finding number of local maximums in the wave signal claim 1 , number of local minimums in the wave signal claim 1 , number of pairs of the local maximum and the local minimum in the wave signal claim 1 , or half of total number of the local maximums and the local minimums in the wave signal.6. The method as claimed in claim 1 , wherein ...

Methods and Apparatus for Neuromodulation

A neuromodulator accurately measures—in real time and over a range of frequencies—the instantaneous phase and amplitude of a natural signal. For example, the natural signal may be an electrical signal produced by neural tissue, or a motion such as a muscle tremor. The neuromodulator generates signals that are precisely timed relative to the phase of the natural signal. For example, the neuromodulator may generate an exogenous signal that is phase-locked with the natural signal. Or, for example, the neuromodulator may generate an exogenous signal that comprises short bursts which occur only during a narrow phase range of each period of an oscillating natural signal. The neuromodulator corrects distortions due to Gibbs phenomenon. In some cases, the neuromodulator does so by applying a causal filter to a discrete Fourier transform in the frequency domain, prior to taking an inverse discrete Fourier transform. 1. A method comprising:(a) measuring a physiological signal;(b) calculating a discrete signal that comprises samples of the physiological signal;(c) calculating a second signal, which second signal is a discrete Fourier transform of the discrete signal;(d) calculating a smoothed signal, by performing calculations that include (i) applying a causal filter to the second signal, which causal filter deforms a front-segment but not an end-segment of the second signal in such a way that the start point of the smoothed signal is equal in value to the endpoint of the smoothed signal, and (ii) removing negative frequency components;(e) calculating a portion of an analytic signal, which analytic signal is equal to an inverse discrete Fourier transform of the smoothed signal;(f) calculating, based on said portion of the analytic signal, instantaneous phase of the physiological signal;(g) outputting instructions, based on the instantaneous phase; and(h) outputting a neuromodulation signal, based on the instructions.2. The method of claim 1 , wherein the physiological signal ...

SYSTEM AND METHOD FOR EVALUATION OF CIRCULATORY FUNCTION

A system and method for evaluating a circulatory function of an individual includes at least one connection configured to receive signals indicative of functional data relating to at least one functional parameter of the cardiovascular system of the subject and to at least two disparate locations on the subject. A processor is coupled to the at least, one connection and configured to receive the functional data from the at least one connection. The processor is also configured to compare the functional data to identify variations that deviate from an expected delay associated with the disparate locations and provide an assessment of the cardiovascular system function based on the comparison of the functional data. 1. A system configured to analyze cardiovascular system function of a subject , the system comprising:at least one connection configured to receive signals indicative of functional data relating to at least one functional parameter of the cardiovascular system of the subject and to at least two disparate locations on the subject; receive the functional data from the at least one connection;', 'compare the functional data to identify variations that deviate from an expected delay associated with the disparate locations; and', 'provide an assessment of the cardiovascular system function based on the comparison of the functional data., 'a processor coupled to the at least one connection and configured to2. The system of further comprising at least two sensors configured to derive the functional data from the subject and connected to the at least one connection to communicate the signals.3. The system of wherein the processor is further configured to determine claim 1 , from the functional data claim 1 , at least one of endogenous fluctuations in oxygenation and concentration levels at the disparate locations.4. The system of wherein the processor is further configured to determine a relative strength and propagation delay of at least one of blood flow and ...

SYSTEM, PROCESS, AND DEVICES FOR REAL-TIME BRAIN MONITORING

Systems, processes and devices for real-time brain monitoring to generate and control an interface of a display device with a visual representation of a Brain Value Index for entropy, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time. 1. A system for real-time brain monitoring comprising:a plurality of sensors for acquisition of (near) real-time raw sensor data for monitoring a patient's brain, each sensor corresponding to a channel;a collector device coupled to the plurality of sensors for pre-processing the real-time raw sensor data; an acquisition unit to receive sensor data from the collector device;', 'a processor to compute, using the sensor data, a connectivity matrix having connectivity values, a connectivity value for each pair of channels, and a real-time brain value index corresponding to a real-time brain state of the patient; and', 'a presentation unit to generate visual elements for an interface in real-time, the visual elements representing the real-time brain value index to depict the brain state of the patient and a connectivity map for the connectivity matrix, the connectivity map visually indicating the channels of the sensors and a connecting line between a pair of channels representing a strength of connection between the pair of channels, the server system having a display controller to issue control commands to update the interface using the generated visual elements;, 'a server havinga display device to display and update the interface with the visual elements based on the issued control commands from the server.2. The system of wherein the server computes claim 1 , for each pair of channels claim 1 , a phase synchronization value for an angle between the respective pair of channels using the sensor data for the respective pair of channels claim 1 , wherein entries of the connectivity matrix are the ...

HEART RATE DETECTION METHOD AND APPARATUS, AND ELECTRONIC TERMINAL THEREOF

A heart rate detection method includes: acquiring a plurality of time-domain heart rate detection data; if the time-domain heart rate detection data includes a weak interference signal, extracting a first feature point from the time-domain heart rate detection data, and collecting statistics on feature data of the first feature point to determine time-domain heart rate detection data used in calculating heart rate; if the time-domain heart rate detection data includes a strong interference signal, transforming the time-domain heart rate detection data to a frequency domain to obtain a plurality of frequency-domain heart rate detection data, extracting a second feature point from the frequency-domain heart rate detection data, and collecting statistics on feature data of the second feature point to determine frequency-domain heart rate detection data used in calculating heart rate; and calculating the heart rate based on the time-domain or the frequency-domain heart rate detection data. 1. A method for detecting heart rate , comprising:acquiring a plurality of time-domain heart rate detection data;if the plurality of time-domain heart rate detection data comprises a weak interference signal, extracting a first feature point from the plurality of time-domain heart rate detection data, and collecting statistics on feature data of the first feature point to determine time-domain heart rate detection data used in calculating heart rate;if the plurality of time-domain heart rate detection data comprises a strong interference signal, transforming the plurality of time-domain heart rate detection data to a frequency domain to obtain a plurality of frequency-domain heart rate detection data, extracting a second feature point from the plurality of frequency-domain heart rate detection data, and collecting statistics on feature data of the second feature point to determine frequency-domain heart rate detection data used in calculating heart rate; andcalculating the heart rate ...

Methods and Systems for Determining Hemodynamic Properties of a Tissue

Systems and methods for determining hemodynamic properties in a sample of a subject are provided. A system obtains one or more spectral interference signals from the sample during one or more scans, separates the spectral interference signals concerning tissue motion, cell motion, and noise within the sample by decomposing the tissue motion, the cell motion, and the noise into orthogonal basis functions. The system then determines hemodynamic properties of the sample from the separated cell motion. The system and method may be used for diagnosing, providing a prognosis, or monitoring treatment of a disorder of the sample.

SYSTEMS AND METHODS FOR MONITORING HEART FUNCTION

Characteristics of a user's heart are detected. In accordance with an example embodiment, a ballistocardiogram (BCG) sensor is used to detect heart characteristics of a user, and provide a BCG output indicative of the detected heart characteristics. The BCG output is further processed using data from one or more additional sensors, such as to reduce noise and/or otherwise process the BCG signal to characterize the user's heart function. 1. A method comprising:providing ballistocardiogram (BCG) measurements from a user while the user is standing on a BCG device;sensing and capturing information, including signals indicative of physical movement of the user while the user is standing on the BCG device, and providing therefrom captured signals, wherein the signals are indicative of and attributable to noise or interference that is present in the BCG measurements while the user is standing on the BCG device; andusing a processor circuit to perform a step of assessing the signals, which are indicative of the physical movement of the user while the user is standing on the BCG device, as a function of the captured signals; andin response to the step of assessing the signals, providing filtered or gated recordings of the BCG measurements for BCG diagnostics information.2. The method of claim 1 , wherein the step of sensing and capturing information includes generating information for executing a transform function claim 1 , and further including executing the transform function before providing the filtered or gated recordings of the BCG measurements.3. The method of claim 1 , wherein sensing and capturing information includes using an electromyogram (EMG) sensor that detects motion of the user while the user is standing on the BCG device.4. The method of claim 1 , wherein sensing and capturing information includes using a foot-to-foot electrocardiogram (ECG) sensor.5. The method of claim 1 , wherein sensing and capturing information includes using an optical plethysmograph ...

Motion artifact reduction using multi-channel ppg signals

A data processing device is disclosed for extracting a desired vital signal containing a physiological information component from sensor data that includes time-dependent first sensor data comprising the physiological information component and at least one motion artifact component, and that includes time-dependent second sensor data that is indicative of a position, a velocity or an acceleration of the sensed region as a function of time. A decomposition unit decomposes the second sensor data into at least two components of decomposed sensor data and, based on the decomposed second sensor data, provides at least two different sets of motion reference data in at least two different motion reference data channels. An artifact removal unit determines the vital signal formed from a linear combination of the first sensor data and the motion reference data of at least one two of the motion reference data channels.

HIGH-INTENSITY FOCUSED ULTRASOUND FOR HEATING A TARGET ZONE LARGER THAN THE ELECTRONIC FOCUSING ZONE

The invention provides for a medical instrument () comprising a magnetic resonance imaging system () and a high-intensity focused ultrasound system () with an electronically controllable and a mechanically controllable focus. Execution of instructions by a processor () controlling the instrument cause the processor to: receive () a target zone () descriptive of a zone within the subject; divide () the target zone into multiple sub-zones (); determine () a sequence () for moving the transducer position to each of the multiple sub-zones; determine () a selected sub-zone selected from the multiple sub-zones using the sequence; repeatedly control () the mechanical positioning system to move the transducer to the transducer position of the selected sub-zone; repeatedly acquire () the magnetic resonance thermometry data; repeatedly determine () a temperature property map (); repeatedly heat () the regions independently to the target temperature by controlling the electronically controlled focus with a temperature feedback algorithm (); and repeatedly change () the selected sub-zone using the sequence. 1200. A medical instrument () comprising:{'b': 202', '270', '220', '218, 'a magnetic resonance imaging system () for acquiring magnetic resonance thermometry data () from a subject () within an imaging zone ();'}{'b': 204', '226', '228', '414, 'a high-intensity focused ultrasound system () comprising an ultrasound transducer () with an electronically controlled focus, wherein the high-intensity focused ultrasound system further comprises a mechanical positioning system () for positioning the ultrasound transducer, wherein the electronically controlled focus is operable to adjust the focus within a focusing zone (), wherein the location of the focusing zone is dependent upon the position of the ultrasound transducer;'}{'b': 252', '280', '282', '284', '286', '288, 'a memory () for storing machine executable instructions (, , , , );'}{'b': '244', 'claim-text': [{'b': 100', '240 ...

Plethysmographic respiration rate detection

A plethysmographic respiration processor is responsive to respiratory effects appearing on a blood volume waveform and the corresponding detected intensity waveform measured with an optical sensor at a blood perfused peripheral tissue site so as to provide a measurement of respiration rate. A preprocessor identifies a windowed pleth corresponding to a physiologically acceptable series of plethysmograph waveform pulses. Multiple processors derive different parameters responsive to particular respiratory effects on the windowed pleth. Decision logic determines a respiration rate based upon at least a portion of these parameters.

HYPERSPECTRAL IMAGING IN AUTOMATED DIGITAL DERMOSCOPY SCREENING FOR MELANOMA

Hyperspectral dermoscopy images obtained in N wavelengths in the 350 nm to 950 nm range with a hyperspectral imaging camera are processed to obtain imaging biomarkers having a spectral dependence. Machine learning is applied to the imaging biomarkers to generate a diagnostic classification. 1. A method of dermoscopic screening of a lesion , comprising the steps of:imaging a lesion on a subject's skin under a set of N illumination spectra to obtain a sequenced set of N images, each said image comprised of image data;wherein the set of N illumination spectra is hyperspectral;calculating at least one of a first type of biomarker and a second type of biomarker,wherein the first type of biomarker comprises M imaging biomarker values and is calculated by transforming said image data of said N images into said M imaging biomarker values;wherein the first type of imaging biomarker value varies as a function of the N illumination spectra; andwherein the second type of biomarker is calculated from all of said N illumination spectra at each pixel, so that said second type of biomarker has only one value for said N illumination spectra at each pixel; andapplying a trained transformation algorithm to transform at least one of the first type of biomarker and the second type of biomarker into a classification indicating the likelihood that the lesion is a skin disease.2. The method according to claim 1 , wherein both the first type of biomarker and the second type of biomarker are calculated claim 1 , and the trained transformation algorithm is applied to both the first and second types to obtain said classification.3. The method according to claim 1 , wherein the trained transformation algorithm comprises at least one of the following non-deep learning algorithms applied to said at least first and second type biomarkers to obtain said classification: (1) logistic regression; (2) feed-forward neural networks with a single hidden layer; (3) linear and support vector machines radial ...

METHOD, APPARATUS, AND SYSTEM FOR AUTOMATIC AND ADAPTIVE WIRELESS MONITORING AND TRACKING

Methods, apparatus and systems for wireless monitoring and tracking are described. In one example, a described method of a wireless monitoring system comprises: transmitting a wireless signal that is impacted by a wireless multipath channel in a venue and a modulation of an object undergoing a motion in the venue, to obtain a set of channel information (CI) of the wireless multipath channel; performing a monitoring task by monitoring the object and the motion; determining a plurality of admissible system states of the wireless monitoring system, wherein each admissible system state is associated with a respective setting of at least one of: the wireless signal, a series of sounding signals in the wireless signal, or the monitoring task; choosing one of the admissible system states to be a system state of the wireless monitoring system based on the monitoring task; and applying a setting associated with the chosen admissible system state to the wireless monitoring system. 1. A method , implemented by a wireless monitoring system having a processor , a memory communicatively coupled with the processor , and a set of instructions stored in the memory to be executed by the processor , comprising:transmitting, using a transmitter, a wireless signal through a wireless multipath channel of a venue;receiving, using a receiver, the wireless signal through the wireless multipath channel, wherein the wireless signal is impacted by the wireless multipath channel and a modulation of an object undergoing a motion in the venue;obtaining a set of channel information (CI) of the wireless multipath channel based on the wireless signal;performing a monitoring task by monitoring the object and the motion of the object based on the set of CI;determining a plurality of admissible system states of the wireless monitoring system, wherein each of the admissible system states is associated with a respective setting of at least one of: the wireless signal, a series of sounding signals in the ...

PULSE WAVE MEASURING APPARATUS, METHOD FOR MEASURING PULSE WAVES, AND RECORDING MEDIUM

A pulse wave measuring apparatus includes a processor and a memory. The processor instructs a lighting device outside thereof to cause the amplitude of a first hue waveform obtained from first visible light images to fall within a certain hue range, calculates a degree of correlation between a first visible light waveform obtained from first visible light images and a first infrared waveform obtained from first infrared images, outputs an infrared control signal and a visible light control signal for adjusting the amount of light of an infrared light source and the lighting device, respectively, in accordance with the degree of correlation, extracts a second visible light waveform and a second infrared waveform from second visible light images and second infrared images, respectively, calculates first biological information from feature values of at least either the second visible light waveform or the second infrared waveform, and outputs the first biological information. 1. A pulse wave measuring apparatus comprising:a processor,wherein the processor obtains, from a lighting device provided outside the pulse wave measuring apparatus, a first control pattern specifying first correspondences, which indicate color temperatures of visible light output from the lighting device corresponding to a plurality of instructions,determines a first instruction corresponding to information indicating a first color temperature held by the pulse wave measuring apparatus while referring to the first control pattern,outputs the first instruction to the lighting device, obtains a plurality of first visible light images by capturing, in a visible light range, images of a user onto whom the lighting device is radiating visible light having the first color temperature corresponding to the first instruction,calculates a plurality of first hues from the plurality of first visible light images,extracts a first hue waveform from the plurality of first hues,determines, if amplitude of the ...

Method and Device for Processing Bio-Signals

A method for computing the heart rate value of an user, including detecting a time-dependent optical waveform including a pulse induced by the heartbeat with an optical pulse sensor attached to the user, detecting of a time-dependent accelerometer waveform by an inertial sensor arranged in proximity of the optical pulse sensor, computing of frequency components of the time-dependent optical waveform by a mathematical transform, computing of frequency components of the time-dependent accelerometer waveform by the mathematical transform, first removing of computed frequency components of the time-dependent accelerometer waveform that are below a pre-defined threshold, second removing the computed frequency components of the time-dependent optical waveform that are matching the computed frequency components, third removing the computed frequency components after the second removing that are below a pre-defined threshold, and choosing one of the computed frequency components from the third removing as the heart rate. 1. A method for computing the heart rate value of an user , comprising:(a) a first detecting of a time-dependent optical waveform comprising a pulse induced by the user's heartbeat, with an optical pulse sensor attached to the user;(b) a second detecting of a time-dependent accelerometer waveform by means of an inertial sensor arranged in proximity with the optical pulse sensor;(c) a first computing of frequency components of the time-dependent optical waveform my means of a mathematical transform;(d) a second computing of frequency components of the time-dependent accelerometer waveform by means of the mathematical transform;(e) a first removing of the computed frequency components of the time-dependent accelerometer waveform that are below a first pre-defined threshold of the maximum amplitude across the frequency components of the accelerometer;(f) a second removing of the computed frequency components of the time-dependent optical waveform that are ...

Electrochemical biosensor array devices, systems, and methods for point-of-care detection

Disclosed are biosensor devices, systems, and methods for point-of-care applications. In some aspects, a biosensor system includes a biosensor chip device to measure impedance at an electrode-electrolyte interface, which includes an electrochemical sensor comprising a first electrode including a functionalization layer exposing a molecular binding site to bind a target molecule for detection and a second electrode that does not include the binding site, and an electronic circuit unit corresponding to each electrode of the electrochemical sensor including a transimpedance amplifier, a phase detector to determine a relative phase shift in the detected electrical signal caused by an impedance change from a binding event of the target molecule at the molecular binding site, and a time-to-digital converter to quantize and average phase data points in time to remove uncorrelated noise from the detected electrical signal; and a signal generator to produce an electrical excitation signal applied across the electrode-electrolyte interface.

SYSTEMS AND METHODS FOR REGISTRATION OF INTRA-BODY ELECTRICAL READINGS WITH A PRE-ACQUIRED THREE DIMENSIONAL IMAGE

There is provided a method of displaying a pre-acquired three dimensional (3D) image of at least a portion of an organ of a patient, the method comprising: receiving a plurality of electrical readings, each from a different electrode mounted on a catheter inside the portion of the organ of the patient, wherein the electrodes are mounted on the catheter at known distances from each other, transforming the plurality of electrical readings to a corresponding plurality of image points using a mapping transformation that transforms each electrical reading of the catheter from inside the portion of the organ of the patient to an anatomically corresponding image point in the 3D image based on the known distances, and displaying the 3D image with a marking of at least one of the plurality of image points. 1. A method of displaying a pre-acquired three dimensional (3D) image of at least a portion of an organ of a patient , the method comprising:receiving a plurality of electrical readings, each from a different electrode mounted on a catheter inside the portion of the organ of the patient, wherein the electrodes are mounted on the catheter at known distances from each other;transforming the plurality of electrical readings to a corresponding plurality of image points using a mapping transformation that transforms each electrical reading of the catheter from inside the portion of the organ of the patient to an anatomically corresponding image point in the 3D image based on the known distances; anddisplaying the 3D image with a marking of at least one of the plurality of image points.2. The method of claim 1 , wherein the location of the at least one of the plurality of image points is maintained relative to the 3D image during changes to the location of the electrodes relative to an external reference coordinate system claim 1 , if the location of the electrodes does not change in relation to the anatomy of the at least a portion of the organ.3. The method of claim 1 , ...

METHOD AND APPARATUS FOR HEMODYNAMICALLY CHARACTERIZING A NEUROLOGICAL OR FITNESS STATE BY DYNAMIC LIGHT SCATTERING (DLS)

A method and apparatus for hemodynamically characterizing a neurological or fitness state by dynamic scattering light (DLS) is disclosed herein. In particular, a non-pulsatile blood-shear-rate-descriptive (BSRD) signal(s) is optically generated and analyzed. In some embodiments, the BSRD signal is generated dynamically so as to adaptively maximize (i.e. according to a bandpass or frequency-selection profile) a prominence of a predetermined non-pulsatile physiological signal within the BSRD. In some embodiments, the BSRD is subjected to a stochastic or stationary-status analysis. Alternatively or additionally, the neurological or fitness state may be computed from multiple BSRDs, including two or more of: (i) a [sub-200 Hz, ˜300 Hz] BSRD signal; (ii) a [˜300 Hz, ˜1000 Hz] signal; (iii) a [˜1000 Hz, ˜4000 Hz] signal and (iv) a [4000 Hz, z Hz] (z>=7,000) signal. 1. A method for optically measuring state and/or status information or changes therein about a warm-blooded subject , the method comprising:a. illuminating a portion of the subject's skin or tissue by a VCSEL (vertical cavity surface emitting laser) or a diode laser to scatter partially or entirely coherent light off of the subject's moving red blood cells (RBCs) to induce a scattered-light time-dependent optical response;b. receiving the scattered light by a photodetector(s) to generate an electrical signal descriptive of the induced scattered-light time-dependent optical response;c. processing the scattered-light-optical-response-descriptive electrical signal or a derived-signal thereof to compute therefrom one or more blood-shear-rate-descriptive (BSRD) signal(s), each BSRD signal characterized by a respective frequency-selection profile;d. electronically analyzing features of the BSRD signal(s) of the BSRD signal group;e. in accordance with the results of the electronically analyzing of the frequency-interval-specific shear-rate-descriptive signal(s), computing the state and/or status information or changes ...

METHOD AND SYSTEM FOR DETERMINING CARDIOVASCULAR PARAMETERS

A system and method for determining cardiovascular parameters can include: receiving a plethymogram (PG) dataset, removing noise from the PG dataset, segmenting the PG dataset, extracting a set of fiducials from the PG dataset, and transforming the set of fiducials to determine the cardiovascular parameters. 1. A method for determining a blood pressure of a patient , comprising:receiving a plurality of images of a body region of the user, wherein the images are recorded using an image recording device of a user device associated with the patient wherein the image recording device is in contact with the body region of the user;generating a photoplethymogram (PPG) dataset from the plurality of images; filtering the PPG dataset using a lowpass filter configured to remove signals from the PPG dataset below 0.5 Hertz;', 'decomposing the PPG dataset into a set of modes using enhanced empirical mode decomposition;', 'extracting intrinsic modes from the set of modes; and', 'aggregating the intrinsic modes to generate the denoised PPG dataset;, 'reducing noise in the PPG dataset to generate a denoised PPG dataset bysegmenting the denoised PPG dataset into a segmented PPG dataset using moving average segmentation;determining a processed PPG dataset by averaging a predetermined number of segments of the segmented PPG dataset;extracting a set of fiducials from the processed PPG dataset;determining a position on a patient cardiovascular manifold based on the set of fiducials;transforming the position on the patient cardiovascular manifold to a position on the universal cardiovascular manifold; anddetermining the blood pressure of the patient based on a mapping from the position on the universal cardiovascular manifold to a blood pressure value.2. The method of claim 1 , wherein the predetermined number of segments comprises at least 10 segments of the PPG dataset.3. The method of claim 1 , wherein at least one of the universal cardiovascular manifold or the transformation are ...

DETERMINING ARTERIAL PULSE TRANSIT TIME FROM TIME-SERIES SIGNALS OBTAINED AT PROXIMAL AND DISTAL ARTERIAL SITES

What is disclosed is a system and method for determining arterial pulse transit time (PTT) for a subject. In one embodiment, time-series signals are received for each of a proximal and distal arterial site of a subject's body which represent blood volume changes in the microvascular tissue at each site. A proximal and distal analytic signal is obtained which has a first component being a waveform of the respective time-series signal and a second component being a transform of the respective waveform. A phase function is determined for the first and second components of each analytic signal. The phase function obtained for the proximal waveform is then subtracted from the phase function obtained for the distal waveform to get a phase difference. The phase difference is analyzed with the subject's heart rate to determine an arterial pulse wave transit time between the two proximal and distal sites. 1. A method for determining arterial pulse wave transit time for a subject , comprising:receiving a time-series signal for each of a proximal and distal arterial site of a subject's body, said time-series signals being derived from any of: a contact-based photoplethysmographic (PPG) device and from processing image frames acquired by a video imaging device capable of registering a videoplethysmographic (PPG) signal on a least one imaging channel use to acquire that video;obtaining a proximal and distal analytic signal each comprising a first component that is a waveform of a respective received time-series signal and a second component that is a transform of that waveform;determining a phase function with respect to time for said first and second components of each of said proximal and distal analytic signals;subtracting said phase function for said proximal waveform from said phase function for said distal waveform to obtain a phase difference; andprocessing said phase difference with said subject's heart rate to determine an arterial pulse wave transit time between said ...

FRACTAL INDEX ANALYSIS OF HUMAN ELECTROENCEPHALOGRAM SIGNALS

A system and method for Multifractal-Detrended Fluctuation Analysis (MF-DFA) on digitized Human EEG signals is presented. A list of Hurst exponents, or Hurst exponent spectrum (“h” values) are generated, and multifractal singularity spectrum indices (“D(h)” values) produce a graph that approximates an inverted parabola. The output multifractal DFA spectrum is able to represent key features of the internal neuronal dynamics for the cortical neurons underlying the scalp-placed electrode which records the signals. 1. An apparatus for analyzing human electroencephalogram (EEG) signals , comprising:(a) a processor; and (i) acquiring a digitized set of sequential EEG voltage recordings as a function of time;', '(ii) performing multifractal-detrended fluctuation analysis (MF-DFA) on the set of sequential EEG voltage recordings; and', '(iii) outputting a MF-DFA spectrum corresponding to the set of sequential EEG voltage recordings., '(b) programming executable on the processor and configured for2. An apparatus as recited in claim 1 , the programming further configured for comparing the output MF-DFA spectrum against a database of MF-DFA spectrum to classify a neuronal state corresponding to the acquired set of sequential EEG voltage recordings.3. An apparatus as recited in claim 2 , wherein the neuronal state comprises a sleep state of a patient.4. An apparatus as recited in claim 2 , wherein the neuronal state comprises a psychiatric or neurologic disorder of a patient.5. An apparatus as recited in claim 1 , wherein performing multifractal-detrended fluctuation analysis (MF-DFA) comprises:subtracting a mean voltage value from each EEG voltage recording in the set of sequential EEG voltage recordings to generate an EEG profile;selecting a sequence of scales corresponding to a length of a segment of consecutive data points within the EEG profile;for each scale, dividing the EEG profile into non-overlapping segments of equal scale;performing a fit to points within each ...

DETECTION AND CHARACTERIZATION OF HEAD IMPACTS

Systems and methods are provided for determining an acceleration at a location of interest within one of a user's head and neck. At least one of linear acceleration data, angular acceleration data, angular velocity data, and orientation data is produced using at least one sensing device substantially rigidly attached to an ambient-accessible surface of the user's head. The location of interest is represented relative to a position of the at least one sensing device as a time-varying function. An acceleration at the location of interest is calculated as a function of the data produced at the sensing device and the time-varying function representing the location of interest. The calculated acceleration at the location of interest is provided to at least one of the user and an observer in a human-perceptible form. 147-. (canceled)48. A non-transitory computer readable medium storing executable instructions executable by an associated processor to perform a method for determining an acceleration at a location of interest within one of a user's head and neck , comprising:receiving sensor data including one of linear acceleration data, angular acceleration data, angular velocity data, and orientation data, the sensor data being received using a sensor assembly substantially rigidly attached to an ambient-accessible surface of the user's head at a sensor position;calculating an acceleration at the location of interest using a time varying function based on the sensor data, the time-varying function representing the location of interest as a linear combination of the linear acceleration and a cross-product of the angular velocity with a relative velocity between the sensor position and the location of interest; andproviding the acceleration to one of the user and an observer in a human-perceptible form.49. The non-transitory computer readable medium of claim 48 , wherein the sensor assembly is contained entirely within one of a mouth guard and a lip guard worn by the user ...

Spectrum analysis of coronary artery turbulent blood flow

Methods and apparatuses are described to obtain cardiac data, which includes acquiring vibrational field cardiac data from a transducer wherein the transducer measures vibration over a surface of a human's body. An unwanted coronary event is separated from vibrational cardiac data. A transient event is extracted from the vibrational cardiac heart cycle data. The transient event occurs during a diastolic interval within a heart cycle. The transient event is evaluated for a condition of coronary artery blood flow turbulence and a condition of health of a coronary artery is assessed from a feature in the vibrational frequency power spectrum estimate. 1. A method of obtaining cardiac data , comprising:acquiring vibrational cardiac data from a transducer wherein the transducer measures vibration of a surface of a human's body;separating an unwanted coronary event from vibrational cardiac data, wherein the effects of the unwanted coronary event on vibrational cardiac data are reduced by the separating;performing a time-to-frequency transformation on at least a portion of a diastolic interval within a heart cycle of the vibrational cardiac data obtained during the separating to obtain a vibrational frequency power spectrum estimate; andevaluating the vibrational frequency power spectrum estimate for a condition of coronary artery blood flow turbulence.2. The method of claim 1 , wherein the performing is restricted to at least a first time slot of the diastolic interval.3. The method of claim 2 , further comprising:averaging vibrational frequency power spectra estimates from an ensemble of heart cycles, whereby a signal-to-noise ratio is increased.4. The method of claim 3 , further comprising:performing a time-to-frequency transformation on a second time slot of the diastolic interval to obtain a second vibrational frequency power spectrum estimate and the evaluating utilizes the vibrational frequency power spectrum estimate and the second vibrational frequency power ...

MACHINE LEARNING SYSTEM FOR ASSESSING HEART VALVES AND SURROUNDING CARDIOVASCULAR TRACTS

A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract. 1. A machine learning system for evaluating at least one characteristic of a heart valve , an inflow tract , an outflow tract or a combination thereof , the system comprising:a training mode configured to train a computer and construct a transformation function to predict at least one of an unknown anatomical characteristic or an unknown physiological characteristic of at least one of a heart valve, an inflow tract or an outflow tract, using at least one of a known anatomical characteristic or a known physiological characteristic of the at least one heart valve, inflow tract or outflow tract; anda production mode configured to use the transformation function to predict at least one of the unknown anatomical characteristic or the unknown physiological characteristic of the at least one heart valve, inflow tract or outflow tract, based on at least one of the known anatomical characteristic or the known physiological characteristic of the at least one heart valve, inflow tract or outflow tract, wherein the production mode is further ...

MONITORING FOR HEALTH CHANGES OF A USER BASED ON NEURO AND NEURO-MECHANICAL MOTION

In accordance with one embodiment, a method for determining changes in health of a user is disclosed. The method includes sensing multi-dimensional motion of a body part of a user to generate a first multi-dimensional motion signal at a first time and date; in response to the first multi-dimensional motion signal, generating a first neuro-mechanical fingerprint; generating a first health measure in response to the first NFP and user calibration parameters; sensing multi-dimensional motion of the body part of the user to generate another multi-dimensional motion signal at another time and date; in response to the another multi-dimensional motion signal, generating another neuro-mechanical fingerprint; generating another health measure in response to the another NFP and the user calibration parameters; and comparing the first health measure with the another health measure to determine a difference representing the health degradation of the user. 1. A method of determining a change in health of a user , the method comprising:a) sensing multi-dimensional motion of a body part of a user to generate a first multi-dimensional motion signal at a first time and date;b) in response to the first multi-dimensional motion signal, generating a first neuro-mechanical fingerprint (NFP);c) generating a first health measure in response to the first NFP;d) sensing multi-dimensional motion of the body part of the user to generate another multi-dimensional motion signal at another time and date;e) in response to the another multi-dimensional motion signal, generating another neuro-mechanical fingerprint;f) generating another health measure in response to the another NFP; andg) comparing the first health measure with the another health measure to determine a difference representing a change in health of the user.2. The method of claim 1 , further comprisingstoring the first health measure associated with the first time and date; andstoring the another health measure associated with the ...

Apparatus and method of monitoring biosignal of cyclist and computer readable recording medium

An apparatus for monitoring a biosignal of a cyclist includes an electrocardiogram measuring sensor measuring an electrocardiogram signal of a cyclist, an electromyogram measuring sensor measuring an electromyogram signal of the cyclist, and a determination module determining muscle fatigue of the cyclist, based on at least one of a change in a heart rate of the measured electrocardiogram signal and a change in a frequency component of the measured electromyogram signal.

WEARABLE RESPIRATORY MONITORING SYSTEM BASED ON RESONANT MICROPHONE ARRAY

A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided. 1. A method for continuous acoustic signature recognition and classification , comprising:obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels, the target producing characterizing audio signals depending on a state or condition of the target;extracting a plurality of features from the audio input signal with a signal processor; andclassifying the plurality of features to determine the state of the target.2. The method of wherein the target is a human subject and the audio input signal is produced by respiration claim 1 , the resonant microphone array being positioned proximate to a human subject's chest.3. The method of wherein the resonant microphone array includes a plurality of resonant microphones.4. The method of wherein each resonant microphone has a resonant frequency such that resonant frequencies of a plurality of resonant microphones are spaced between 20 Hz and 12 claim 1 ,000 Hz.5. The method of wherein the resonant microphone array includes a plurality of capacitive combinations of diaphragm and back plate for resonant microphones.6. The method of wherein the audio input signal is pre-filtered by the resonant microphone array to produce a pre-filtered audio input signal.7. The method of wherein the step of extracting a plurality of features from the audio input signal comprises: ...

ARTIFACT REMOVAL TECHNIQUES WITH SIGNAL RECONSTRUCTION

Methods, systems, and devices are disclosed for removing non-stationary and/or non-stereotypical artifact components from multi-channel signals. In one aspect, a method for processing a signal includes obtaining a first signal decomposition of a multi-channel baseline signal in a first matrix including nominal non-artifact signal components and a second signal decomposition of a multi-channel data signal in a second matrix including artifact components, in which the first and second matrices are complimentary matrices, forming a linear transform by non-linearly combining the complementary matrices, and producing an output signal corresponding to the multi-channel data signal by applying the formed linear transform to one or more samples of the multi-channel data signal to remove artifacts and retain non-artifact signal content in the output signal. 1. A method for processing a signal to remove artifacts , comprising:obtaining a first signal decomposition of a multi-channel baseline signal in a first matrix including nominal non-artifact signal components and a second signal decomposition of a multi-channel data signal in a second matrix including artifact components, wherein the first and second matrices are complimentary matrices;forming a linear transform by non-linearly combining the complementary matrices; andproducing an output signal corresponding to the multi-channel data signal by applying the formed linear transform to one or more samples of the multi-channel data signal to remove artifacts and retain non-artifact signal content in the output signal.2. The method as in claim 1 , wherein the forming the linear transform by non-linearly combining the two complementary matrices includes classifying signal components of at least one of the multi-channel baseline signal or the multi-channel data signal into artifact and non-artifact components using a binary classification criterion.3. The method as in claim 2 , wherein the binary classification criterion is ...

Adaptive Pulse Wave Analysis for Blood Pressure Monitoring

An adaptive processing of the pulsatility signal can improve the pulse wave analysis (PWA) leading to a better blood pressure estimation. The technique is based on transforming the pulsatility signal so that the fiducial points required for the PWA are well-defined. 1. A method for translating pulsatility signals , comprising:receiving input pulsatility signals from a photoplethysmography sensor;applying a signal transformation to the pulsatility signals to produce target pulsatility signals; andgenerating blood pressure values from the target pulsatility signals by referencing fiducials in the target pulsatility signals.2. The method of claim 1 , wherein the signal transformation adds the fiducials into the target pulsatility signals with respect to the input pulsatility signals.3. The method of claim 1 , wherein the signal transformation employs a Chebyshev filter whose pass-band ripple introduces artificial fiduciary points.4. The method of claim 1 , wherein generating the blood pressure values includes discarding pulsatility signals with low signal quality.5. The method of claim 1 , wherein generating the blood pressure values includes applying a mapping function to estimate the blood pressure values.6. The method of claim 1 , wherein different mapping functions are applied for different time windows of pulsatility signals.7. A system for translating pulsatility signals claim 1 , comprising:a photoplethysmography sensor for generating input pulsatility signals; anda computer system that applies a signal transformation to the input pulsatility signals to produce target pulsatility signals and generates blood pressure values from the target pulsatility signals by referencing fiducials in the target pulsatility signals.8. The system of claim 7 , wherein the signal transformation adds the fiducials into the target pulsatility signals with respect to the input pulsatility signals.9. The system of claim 7 , wherein the signal transformation employs a Chebyshev filter ...

SYSTEMS AND METHODS FOR ENHANCED ENCODED SOURCE IMAGING

A frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in at least two different frequency bands, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body. Alternately, a frequency encoded source imaging system includes an EEG or MEG sensor array and a processing system for analyzing the signals from the sensor array in a high-definition frequency band comprising frequencies greater than 70 Hz, where the analysis is localized with respect to a three-dimensional grid corresponding to the portion of the human body 1. A multiple frequency encoded source imaging system comprising:at least two frequency range and two sourcesat least two sensors, wherein each of the at least two sensors detect primary signals emitted by a corresponding one of the at least two sources and cross scatter radiation from at least one of the other at least two sources and produces an aggregate signal including both of the detected primary signals and the detected cross scatter signals; anda computer pipeline which, based on the different contour map patterns, extracts from at least one of the aggregate signals the detected primary signal and associates the extracted primary signal with the corresponding signal source.2. The system of further including a reconstruction system that reconstructs the primary signal to generate an image of a functional activity within an imaging region.3. The system of wherein each of the different contour map patterns is driven at different frequency with respect to each other to uniquely frequency encode the signal source.4. The system of wherein the different contour map patterns are code-modulated to uniquely encode the source signals.5. The system of wherein the different contour map patterns are phase shifted with respect to each other to uniquely phase encode the source signals.6. The system of wherein ...

Systems for monitoring the cardiovascular system using a heart lung sound

The present invention relates to A system for monitoring the cardiovascular system using a heart sound, which comprises a heart sound receiving means( 100 ) for receiving a heart sound(HS); DSP (Digital Signal Processor) module( 200 ) for converting the heart sound(HS) received from said heart-sound receiving means( 100 ) to a digital signal; and an arithmetic section( 300 ) for calculating phonocardiogram(PCG) from the digital signal converted in the DSP module ( 200 ) and calculating information related to a preload or information related to a cardiac contractile force or information related to a respiratory change.

System and Method for Deriving a Pulse Wave Velocity-Blood pressure Transform

A system and method is provided for deriving a pulse wave velocity-blood pressure (PWV-BP) transform. The method provides a general population PWV-BP transform comprising an average, population correlation of PWV measurements to BP measurements, where the selected average population shares common characteristics with a selected individual. The personal PWV-BP transform is based upon PWV and BP measurements for the first individual. If the personal PWV-BP transform is determined to be invalid, the general population PWV-BP is used to correlate the current PWV measurement for the first individual, to an estimated BP value for the first individual. The method modifies the general population PWV-BP transform using the at least a first PWV and BP measurement, and updates the general population PWV-BP transform. If a Sufficient number of simultaneous PWV and BP measurements are taken, and determined to be statistically valid, a personal PWV-BP transform can be established. 1. A method for deriving a pulse wave velocity-blood pressure (PWV-BP) transform , the method comprising:providing a general population PWV-BP transform comprising an average population correlation of PWV measurements to BP measurements, where a selected average population shares common characteristics with a selected first individual;determining the validity of a personal PWV-BP transform, where the personal PWV-BP transform is based upon PWV and BP measurements for the first individual; and,when the personal PWV-BP transform is determined to be invalid, using the general population PWV-BP to correlate a current PWV measurement for the first individual, to an estimated BP value for the first individual.2. The method of further comprising:simultaneously taking at least a first PWV measurement and a first BP measurement for the first individual;modifying the general population PWV-BP transform using the at least the first PWV measurement and the first BP measurement; and,saving the modified general ...

Pulse Wave Velocity-to-Blood Pressure Calibration Prompting

A system and method are provided for prompting blood pressure-related calibrations. The method relies on statistical hypothesis tests over a current measurement and an accumulated set of calibration points to determine whether the benefit of calibration, in terms of calibration diversity, outweighs the cost to the patient. The algorithm uses statistical methods to predict calibration effect without actually performing the calibration, hence, reducing the calibration ‘cost’ to the patient and increasing the diversity of calibration points and thereby improving PWV-BP transform quality. The method is applicable to both manual and automatic calibration modes. 1. A method for prompting blood pressure (BP)-related calibrations , the method comprising:creating a transform comprising a calibration set including a plurality of sample pairs, where each sample pair includes a mean measurement of pulse wave velocity (PWV) correlated to a measured reference blood pressure value, where each mean PWV measurement is derived from a plurality of PWV observations;performing a current mean PWV measurement;performing a model utility test comparing an estimated slope of the transform to an estimated standard deviation of the slope (Test 1);when a null hypothesis of the model utility test is rejected, performing a first normalized mean difference test comparing a current blood pressure estimate with a mean calibration reference blood pressure over the calibration set (Test 2); and,when a null hypothesis of the first normalized mean difference test is rejected, prompting a calibration of the transform, where the calibration includes augmenting the calibration set with actual BP measurements correlated to the current mean PWV measurement.2. The method of further comprising:when the null hypothesis of the model utility test is not rejected, performing a second normalized mean difference test comparing the mean of the PWV over the calibration set with the current mean PWV measurement (Test 0 ...

Device and Method for Tracking the Position of an Endoscope within a Patient's Body

Systems and methods of tracking the position of an endoscope within a patient's body during an endoscopic procedure is disclosed. The devices and methods include determining a position of the endoscope within the patient in the endoscope's coordinate system, capturing in an image fiducial markers attached to the endoscope by an external optical tracker, transforming the captured fiducial markers from the endoscope's coordinate system to the optical tracker's coordinate system, projecting a virtual image of the endoscope on a model of the patient's organ, and projecting or displaying the combined image. 1. An endoscope system having an endoscope handle and an endoscope body adapted to be inserted into a gastrointestinal tract of a patient , the system comprising:a plurality of orientation markers positioned on said endoscope handle, wherein said orientation markers are distributed around a circumference of said endoscope handle;a plurality of sensors positioned at different locations longitudinally along an external surface of the endoscope body, wherein each of said plurality of sensors is adapted to generate first orientation data;one or more cameras positioned external to said patient and adapted to detect one or more of said plurality of orientation markers and generate second orientation data; anda controller adapted to receive said first orientation data and second orientation data and generate data indicative of a position of said endoscope body within said gastrointestinal tract of the patient.2. The endoscope system of claim 1 , wherein the data indicative of a position of said endoscope body includes positions of all of the endoscope body that has entered into the gastrointestinal tract of the patient.3. The endoscope system of claim 1 , wherein the sensors are distributed longitudinally along a length of the endoscope body and are separated by a predefined distance of at least 0.1 mm.4. The endoscope system of claim 1 , wherein the controller is adapted to ...

HEART RATE VARIABILITY AND DROWSINESS DETECTION

Methods, devices and systems are provided for detecting drowsiness or the alertness level of a driver of vehicle. A driver's heart rate variability level is determined based on signals received from one or more sensors placed in the vehicle, such as biometric sensors located in a seat assembly. In response to a low heartbeat variability indicating a drowsy or non-alert driver, one or more output signals may be generated to warn or notify the driver. 1. A method of detecting alertness of a driver of a vehicle comprising:receiving, from at least one sensor in a seat assembly of the vehicle, signals indicative of a heartbeat of the driver;determining heartbeat intervals based on the received signals;determining heart rate variability (HRV) levels based on the heartbeat intervals; andin response to the determined HRV levels indicating a low state of alertness of the driver, activating at least one output device.2. The method of wherein determining heartbeat intervals comprises determining an R-R interval between R waves of the heartbeat.3. The method of wherein determining HRV levels comprises determining power spectra for HRV levels over multiple time periods and comparing the power spectra to detect the low state of alertness of the driver.4. The method of wherein the at least one sensor comprises a capacitive sensor claim 1 , a radio frequency (RF) sensor claim 1 , an impedance sensor claim 1 , a permittivity sensor claim 1 , or a ultrasensitive pressure transducer.5. The method of wherein the at least one activated output device generates an audio claim 1 , visual claim 1 , audio/visual or haptic signal to alert the driver.6. The method of wherein the at least one activated output device comprises an infotainment system of the vehicle claim 1 , or a device to vibrate the seat assembly claim 1 , a steering wheel claim 1 , or a restraint system.7. The method of further comprising deactivating the at least one output device in response to the determined HRV level ...

Systems and Methods for Tracking Non-Stationary Spectral Structure and Dynamics in Physiological Data

Systems and methods for tracking dynamic structure in physiological data are provided. In some aspects, the method includes providing physiological data, including electroencephalogram (“EEG”) data, acquired from a subject and assembling a time-frequency representation of signals from the physiological data. The method also includes generating a dynamic model of at least one non-stationary spectral feature, such as at least one non-stationary spectral peak, using the time-frequency representation and a user indication, and applying a dynamic model of at least one non-stationary spectral feature in a parameter estimation algorithm to compute concurrent estimates of spectral parameters describing the at least one non-stationary spectral feature. The method also includes tracking the spectral parameters of the at least one spectral feature over time.

MAPPING THE TRAJECTORY OF A PART OF THE ANATOMY OF THE HUMAN OR ANIMAL BODY

A method for mapping the trajectory of a part of the anatomy of a human or animal body. The method comprises receiving first sensor signals from a sensor attached to part of the anatomy of the human or animal body. The first sensor signals comprise three dimensional position information indicating the location of the sensor; determining from the first sensor signals at least two angles of rotation of the part of the anatomy to which the sensor is attached with respect to a centre of rotation of another part of the body, wherein the angles of rotation are selected from pitch, yaw and roll. Transforming the signals to provide two dimensional coordinate data defined in a two dimensional coordinate space wherein a first dimension in the two dimensional coordinate space represents a first angle of rotation of the part of the anatomy and a second dimension in the two dimensional coordinate space represents a second angle of rotation of the part of the anatomy; and stores the two dimensional coordinate data. 147-. (canceled)48. A method for mapping the trajectory of the anatomy of a human or animal body , the method comprising:receiving first sensor signals from a first sensor attached to part of the anatomy of the human or animal body, wherein the first sensor signals comprise three dimensional position information indicating the location of the sensor;receiving second sensor signals from a second sensor attached to part of the anatomy of the human or animal body, wherein the second sensor signals comprise three dimensional position information indicating the location of the sensor;determining from each of the first and second sensor signals at least two angles of rotation of the part of the anatomy to which each respective sensor is attached to perform a comparative analysis to determine how different parts of the anatomy of the human or animal body move at the same time; andreceiving a third sensor signal comprising information indicative of an incidence point; ...

Apparatus and Method for Processing a Set of Data Values

An apparatus for processing a set of data values, a data value representing a physiological measure of a body fluid at a time instant, comprising: an estimated probability function calculator for calculating an estimated probability function associated with the set of data values; a transform calculator for calculating a non-linear transform rule using a predetermined target probability function being different from the estimated probability function, so that the probability function of a set of transform data values is closer to the target probability function than the estimated probability function; and a transformer for applying the transform rule to the set of data values or to at least one further data value not included in the set of data values and sampled at the different time instant from the time instants for the set of data values to obtain at least one transformed value representing the physiological measure. 117-. (canceled)18. An apparatus for processing a set of data values , a data value representing a physiological measure of a body fluid at a time instant , comprising:an estimated probability function calculator for calculating an estimated probability function associated with the set of data values;a transform calculator for calculating a non-linear transform rule using a predetermined target probability function being different from the estimated probability function and using the estimated probability function associated with the set of data values, so that the probability function of a set of transform data values is closer to the target probability function than the estimated probability function; anda transformer for applying the transform rule to the set of data values or to at least one further data value not comprised by the set of data values and sampled at the different time instant from the time instants for the set of data values to acquire at least one transformed value representing the physiological measure,wherein at least one of ...

Physiological monitoring devices and methods for noise reduction in physiological signals based on subject activity type

Methods and apparatus for monitoring a subject are described. A monitoring device configured to be attached to a body of a subject includes a sensor that is configured to detect and/or measure physiological information from the subject and at least one motion sensor configured to detect and/or measure subject motion information. The physiological sensor and motion sensor are in communication with a processor that is configured to receive and analyze signals produced by the physiological sensor and motion sensor. The processor is configured to process motion sensor signals to identify an activity characteristic of the subject. Once an activity characteristic is identified, the processor is configured to select a noise reference in response to identification of the activity characteristic of the subject, and then process physiological sensor signals using the noise reference to generate an output signal having reduced noise relative to the physiological sensor signal, to produce physiological information about the subject.

DELAY COORDINATE ANALYSIS OF PERIODIC DATA

In embodiments of the present invention, periodic data is analysed by obtaining (S) a vector of delay coordinates for each one of a plurality of samples of the periodic data in a time window, and transforming (S) each of the vectors into a coordinate system comprising a plurality of predefined vectors, to obtain a projection of an attractor of the periodic data along one of the predefined vectors. The periodic data may be physiological data. In-formation representing one or more characteristics of the obtained attractor, which is of diagnostic value, is then displayed (S) to enable a diagnosis. 1. A method of analysing periodic data , the method comprising:obtaining a vector of delay coordinates for each one of a plurality of samples of the periodic data in a time window;transforming each of the vectors into a coordinate system comprising a plurality of predefined vectors, to obtain a projection of an attractor of the periodic data along one of the predefined vectors; anddisplaying information representing one or more characteristics of the obtained attractor.2. The method of claim 1 , further comprising:determining a repeat period T of a periodic waveform in the periodic data; andselecting a value for a time delay τ based on the determined repeat period,wherein the vectors of delay coordinates are obtained based on the selected value of the time delay τ.3. The method of claim 1 , wherein the information representing one or more characteristics of the obtained attractor includes a visual representation of the attractor projected along said predefined vector claim 1 , and/or includes an indicator of the repeat period T of a periodic waveform in the periodic data.4. (canceled)5. The method of claim 4 , further comprising:determining a function relating to one or more of a density, shape, orientation, symmetry and size of the attractor projected along said predefined vector; anddetermining the value of the predefined quantity from the function.6. The method of claim 5 ...

Method and system enabling photoplethysmograph measurement of volume status

A method enables photoplethysmograph measurement of volume status. The method includes the steps of converting photoplethysmograph voltages to volume measurements and characterizing a local microcirculation as a microcosm in a manner allowing a photoplethysmograph to facilitate noninvasive monitoring of systemic status.

Blood Pressure Calculation Method and Device

[Subject] Non-invasive method for estimating blood pressure without a cuff and a device for the blood pressure estimation 1. A blood pressure estimation method that estimates systolic blood pressure (EBP) according to EBP=β·P1+β·P2+βor EBP=β·1/P1+β·P2+β , wherein β , β , and βare coefficients and P1 and P2 are variables , wherein P1 is a parameter that is related to pulse transit time (PTT) , and P2 is a parameter that is related to stroke volume based on pulse waves.2. The blood pressure estimation method as defined in claim 1 , wherein measured blood pressures are obtained from the subject under varied loads claim 1 , while the above parameter P1 and parameter P2 are measured; the measured parameter values are then substituted into the above formula to give coefficients β claim 1 , β claim 1 , and βthat allow approximation to the change in measured blood pressure.3. A blood pressure estimation method that estimates systolic blood pressure (EBP) according to EBP=β·P1+β·P2+β·P3+βor EBP=β·1/P1+β·P2+β·P3+βwherein β claim 1 , β claim 1 , β claim 1 , and βare coefficients and P1 and P2 are variables claim 1 , wherein P1 is a parameter that is related to pulse transit time (PTT) claim 1 , P2 is a parameter that is related to stroke volume based on pulse waves claim 1 , and P3 is a parameter that is related to systole duration based on pulse waves.4. The blood pressure estimation method as defined in claim 3 , wherein measured blood pressures are obtained from the subject under varied loads claim 3 , while the above parameter P1 claim 3 , parameter P2 claim 3 , and parameter P3 are measured; the measured parameter values are then substituted into the above formula to give coefficients β claim 3 , β claim 3 , β claim 3 , and βthat allow approximation to the change in measured blood pressure.5. The blood pressure estimation method as defined in claim 1 , wherein the above parameter P2 is a pulsatile systolic area (PSA) defined by the area under the curve above a horizontal ...

Camera based photoplethysmogram estimation

A system for estimating a photoplethysmogram waveform of a target includes an image processor configured to obtain images of the target and a waveform analyzer. The waveform analyzer is configured to determine a weight of a portion of the target. The weight is based on a time variation of a light reflectivity of the portion of the target. The time variation of the light reflectivity of the target is based on the images. The waveform analyzer is further configured to estimate a PPG waveform of the target based on the weight of the portion and the time variation of the light reflectivity of the portion.

RAPID RATE-ESTIMATION FOR CELL PHONES, SMART WATCHES, OCCUPANCY, AND WEARABLES

Techniques for respiratory and metabolic monitoring in mobile devices, wearable computing, security, illumination, photography, and other applications may use a phosphor-coated broadband white LED to produce broadband light, which may be transmitted along with ambient light to a target (e.g., ear, face, wrist, or the like). Some scattered light returning from a target may be passed through a spectral filter to produce multiple detector regions sensitive to a different waveband and/or wavelength range, and the detected light may be analyzed to determine a measure of a respiratory rate or effort. In the absence of LED light, ambient light may be sufficient illumination for analysis. The disclosed techniques may provide identifying features of type or status of a tissue target (e.g., respiratory rate, heart rate, heart rate variability, heart function, lung function, fat content, hydration status, confirmation of living tissue, and the like). 1. A method , comprising:detecting a repetitive event using light;detecting another repetitive event using the light; andgenerating an output measure that is a function of an estimated rate of the repetitive event and the another repetitive event, the output measure being based, at least in part, on a time interval elapsed between the repetitive event and the another repetitive event.2. The method of claim 1 , wherein the light is backscattered from a subject.3. The method of claim 1 , wherein the light is transmitted through a subject.4. A method claim 1 , comprising:noninvasively detecting broadband light returning after interaction with a subject, the broadband light being further separated into one or more wavebands;determining a timing of a repetitive event using the broadband light detected;determining another timing of another repetitive event using the broadband light detected; andgenerating an output measure, the output measure being a function of an estimated rate of the repetitive event, the output measure based on the ...

METHODS AND SYSTEMS FOR REAL-TIME SENSOR MEASUREMENT SIMULATION

Medical devices and related systems and methods are provided. A method of estimating a physiological condition using a first sensing arrangement involves obtaining a sensor translation model associated with a relationship between the first sensing arrangement and a second sensing arrangement, wherein the second sensing arrangement is different from the first sensing arrangement, obtaining one or more measurements from a sensing element coupled to the processing system of the first sensing arrangement, determining simulated measurement data for the second sensing arrangement by applying the sensor translation model to the one or more measurements from the sensing element of the first sensing arrangement, and determining an estimated value for the physiological condition by applying an estimation model associated with the second sensing arrangement to the simulated measurement data. 1. A method of estimating a physiological condition using a first sensing arrangement , the method comprising:obtaining, by a processing system of the first sensing arrangement, a sensor translation model associated with a relationship between the first sensing arrangement and a second sensing arrangement, wherein the second sensing arrangement is different from the first sensing arrangement;obtaining, by the processing system, one or more measurements from a sensing element coupled to the processing system of the first sensing arrangement;determining, by the processing system, simulated measurement data for the second sensing arrangement by applying the sensor translation model to the one or more measurements from the sensing element of the first sensing arrangement; anddetermining, by the processing system, an estimated value for the physiological condition by applying an estimation model for the physiological condition associated with the second sensing arrangement to the simulated measurement data.2. The method of claim 1 , wherein obtaining the sensor translation model comprises: ...

Calorie Monitoring Sensor And Method For Cell Phones, Smart Watches, Occupancy Sensors, And Wearables

An improved sensor ( 102 ) for calorie monitoring in mobile devices, wearables, security, illumination, photography, and other devices and systems uses an optional phosphor-coated broadband white LED ( 103 ) to produce broadband light ( 114 ), which is then transmitted along with any ambient light to target ( 125 ) such as the ear, face, or wrist of a living subject. Some of the scattered light returning from the target to detector ( 141 ) is passed through narrowband spectral filter set ( 155 ) to produce multiple detector regions, each sensitive to a different narrowband wavelength range, and the detected light is spectrally analyzed to determine a measure of calories, such as calories expended, calories ingested, calorie balance, or rate of calories expended, in part based on a noninvasive measure of respiration, such as respiratory rate, respiratory effort, respiratory depth, or respiratory variability. In one example, variations in concentration in components of the bloodstream over time, such as hemoglobin and water in the arteries, are determined based on the detected light, and the measure of respiration is then determined based on the variations in concentration over time. In the absence of the LED light, ambient light may be sufficient illumination for analysis. The same sensor can provide identifying features of type or status of a tissue target, such as heart rate or heart rate variability, hydration status, sleep state, or even occupancy counting. Calorie monitoring systems incorporating the sensor as well as methods are also disclosed.

Electrode and device for detecting biosignal and method of using the same

An electrode, a biosignal detecting device and a method of measuring a biosignal are provided. The electrode includes an ion conductive member configured to be attached to a body surface, a nonconductive member including a through hole and disposed on the ion conductive member, a conductive member disposed on the nonconductive member, and a nonpolarizable conductive member configured to electrically couple the ion conductive member to the conductive member.

Frequency analysis for predicting left ventricular dysfunction

Systems and methods are provided for evaluating infranodal pacing is applied to a patient. Electrocardiogram (ECG) data representing the pacing is obtained from a set of electrodes as an ECG lead. A predictor value representing a frequency content a portion of the ECG lead is extracted. A fitness parameter is determined for the pacing from at least the predictor value. The fitness parameter represents a likelihood that the applied infranodal pacing will induce left ventricular dysfunction in the patient. The fitness parameter is displayed to a user at an associated display.

Body-worn system for continuous, noninvasive measurement of vital signs

The invention provides methods and systems for continuous noninvasive measurement of vital signs such as blood pressure (cNIBP) based on pulse arrival time (PAT). The invention uses a body-worn monitor that recursively determines an estimated PEP for use in correcting PAT measurements by detecting low frequency vibrations created during a cardiac cycle, and a state estimator algorithm to identify signals indicative of aortic valve opening in those measured vibrations.

Compressed Sensing High Resolution Functional Magnetic Resonance Imaging

The present disclosure provides methods and systems for high-resolution functional magnetic resonance imaging (fMRI), including real-time high-resolution functional MRI methods and systems. 1. A method for functional magnetic resonance imaging (fMRI) of a subject , the method comprising:applying with an MRI system, a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;acquiring with the MRI system, image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory; andproducing an image of the target area in the subject based on the acquired image data.2. The method of claim 1 , wherein the producing comprises analyzing the image data using a spatial sparsifying transform.3. The method of claim 2 , wherein the spatial sparsifying transform comprises a discrete cosine transform (DCT).4. The method of claim 1 , wherein the method is a real-time fMRI method.5. The method of claim 4 , wherein the producing comprises analyzing the image data using a fast iterative shrinkage thresholding algorithm (FISTA).6. The method of claim 1 , wherein the method has a sampling acceleration factor of 2 or more.7. The method of claim 1 , wherein the method has a sampling acceleration factor of 5 or more.8. The method of claim 1 , wherein the method produces an image having a spatial resolution of about 0.2×0.2×0.5 mmor greater.9. The method of claim 1 , wherein the method produces an image having a contrast-to-noise ratio of 1.5 or more.10. The method of claim 1 , wherein the method produces an image having a contrast-to-noise ratio of 2.5 or more.11. A functional magnetic resonance imaging (fMRI) system claim 1 , the system comprising:a coil configured to apply a balanced steady state free precession (b-SSFP) sequence to a target area in a subject;a receiver configured to acquire image data of the target area in the subject using a randomly undersampled variable density spiral (VDS) trajectory; anda ...

SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac activity data, utilizing a plurality of acoustic sensors. 1. A computer-implemented method , comprising:receiving, by at least one computer processor executing specific programmable instructions configured for the method, a plurality of Phonocardiogram (PCG) signals data inputs from a plurality of acoustic sensors;digital signal filtering, by the at least one computer processor, utilizing a plurality of bandpass filters, the plurality of PCG signals data inputs to form a plurality of filtered PCG outputs, wherein the plurality of bandpass filters comprises a L number of bandpass filters, wherein each bandpass filter outputs a K number of filtered PCG outputs;wavelet denoising, by the at least one computer processor, a first subset of filtered PCG outputs of the plurality of filtered PCG outputs to form a M number of denoised filtered PCG outputs, wherein M is equal to L multiply by K;transforming, by the at least one computer processor, utilizing an Independent-Component-Analysis (ICA), a second subset of filtered PCG outputs of the plurality of filtered PCG outputs to form the M number of filtered ICA transforms;transforming, by the at least one computer processor, utilizing the Independent-Component-Analysis (ICA), a first portion of the second subset of denoised filtered PCG outputs to form the M number of denoised filtered ICA transforms; i) the M number of filtered PCG outputs,', 'ii) the M number of the denoised filtered PCG outputs,', 'iii) the M number of the filtered ICA transforms, and', 'iv) the M number of the denoised filtered ICA transforms;', 'detecting, by the at least one computer processor, beat locations of beats in each of DH inputs;', 'calculating, by the at least one computer processor, a confidence score that describes a probability that the beats in each DH input of the plurality of DH inputs represent ...

Quantitative Heart Testing

Heart condition and function can be quantified using repolarization measures and/or repolarization indices derived from a time-frequency transform of an electrocardiogram, e.g., based on points in time associated with the T wave. The electrocardiograms, time-frequency maps derived therefrom, and/or indices obtained by analysis of the time-frequency maps and electrocardiograms may be assembled into a user interface. Further embodiments are described. 1. A method comprising:receiving one or more electrocardiograms acquired for a patient for one or more respective leads;converting the one or more electrocardiograms by time-frequency transform into one or more respective two-dimensional time-frequency maps;identifying, within the one or more electrocardiograms, one or more points in time associated with a T wave;determining, for at least one of the one or more time-frequency maps, one or more repolarization measures corresponding to extrema of the respective time-frequency map at the one or more points in time associated with the T wave; andoutputting at least one repolarization index based on the one or more repolarization measures.2. The method of claim 1 , further comprising normalizing each of the one or more time-frequency maps based at least in part on a difference between a maximum and a minimum identified in the respective time-frequency map across time in an interval encompassing an RS segment and across frequency claim 1 , wherein the one or more repolarization measures are determined from the normalized time-frequency maps.3. The method of claim 1 , wherein the one or more points in time associated with the T wave comprise a first point in time preceding the maximum of the T wave and a second point in time following the maximum of the T wave.4. The method of claim 3 , further comprising comparing a first repolarization measure corresponding to an extremum at the first point in time with a second repolarization measure corresponding to an extremum at the ...

SYSTEM AND METHOD FOR UNSUPERVISED DEEP LEARNING FOR DEFORMABLE IMAGE REGISTRATION

A method is provided. The method includes acquiring simultaneously multiple magnetic resonance (MR) images and multiple ultrasound images of an anatomical region of a subject over a scanned duration. The method also includes training an unsupervised deep learning-based deformable registration network. This training includes training a MR registration subnetwork based on the multiple MR images to generate MR deformation and transformation vectors, training an ultrasound registration subnetwork based on the multiple ultrasound images to generate ultrasound deformation and transformation vectors, and training a MR-to-ultrasound subnetwork based the multiple MR images and the multiple ultrasound images to generate MR-to-ultrasound deformation and transformation vectors between corresponding pairs of MR images and ultrasound images at each time point. 1. A method for providing real-time image guidance for an interventional procedure comprising: acquiring simultaneously a time-series magnetic resonance (MR) image set and a first time-series ultrasound image volume set in an MR imaging scanner from a patient that are matched at each time point;', 'matching each MR image in the time-series MR image set in time to a corresponding ultrasound image volume in the first time-series ultrasound image set;', 'performing an intermediate transformation to transfer lesion or structural anatomy contours acquired with other MR image contrast acquisition techniques to the time-series MR image set to complement the structural anatomical information available in the time-series MR image set;', 'for both the times series MR image set and the first times series ultrasound image volume set, respectively utilizing an MR image and a corresponding ultrasound image volume at some time point as a reference point in a respective MR reference image set and an ultrasound reference image volume set, calculating a respective first set of deformation and transformation vectors such that a position, a ...

System and Method for Blood Pressure Estimation

An electronic system for estimating a subject's blood pressure, comprising a feature extraction module configured for receiving a subject's photoplethysmogram signal, detecting a plurality of signal characteristic points on the received photoplethysmogram signal, calculating a plurality of distances in both time and amplitude between any two of the detected photoplethysmogram signal characteristic points, and providing a feature information signal comprising information about the calculated distances; and a blood pressure calculation module configured for receiving the photoplethysmogram signal, the feature information signal and anthropometric characteristics of the subject, and calculating systolic, diastolic and continuous mean blood pressure values of the subject.

METHODS AND DEVICES FOR DETERMINING METABOLIC STATES

In vivo or in vitro sensors in combination with an electronic monitor enable the recognition, quantitation, and tracking of metabolic oscillations of living cells immobilized on or in close proximity to an analyte sensor providing methods, systems, and devices to monitor, probe, diagnose or treat abnormal metabolic states. The patterns or fingerprints of metabolic oscillations yield information about analyte concentration and the status of cellular metabolism. The analysis provides early recognition of abnormal metabolic states and provides treatment options that can avoid complications from metabolic disorders such as diabetes. 1209-. (canceled)210. A method of obtaining a metabolic state from a pattern of metabolite oscillations in a subject , comprising:inserting a metabolite specific biosensor within the skin of the subject;applying energy to the biosensor;recording and storing output metabolite response data from the biosensor for a period of time;filtering the output response data using time series analysis to provide filtered response data;calibrating the filtered response data versus metabolite concentration;obtaining periodic sensor response data corresponding to concentrations of metabolite in the subject over the period of time;converting the periodic sensor response data to a time series pattern consisting of changes in sensor response from point to point, andcomparing the time series pattern to characteristic patterns of different metabolite oscillations corresponding to metabolic states to determine the metabolic state of the subject.211. The method of claim 210 , wherein the metabolite is selected from the group consisting of glucose claim 210 , lactate claim 210 , pyruvate claim 210 , adenosine triphosphate claim 210 , adenosine diphosphate claim 210 , NAD claim 210 , NADH and phosphofructokinase.212. The method of claim 210 , wherein the subject is a human.213. The method of claim 210 , wherein the metabolite is glucose.214. The method of claim 210 ...

Method and system to fully-automatically measure the st-segment level of electrocardiograms in real-time ecg monitoring

A system for determining the Q and J points of an electrocardiogram (ECG) combines a WLT-based Q, J detection algorithm with signal quality assessment for lead selection. A Q, J detector ( 24 ) receives a beat-cycle waveform for the beat under consideration from each of a plurality (N) of ECG leads, and assesses signal quality for each lead using signal quality assessor (SQA) components 26 1 , 26 2 . . . 26 N . The leads with “good” signal qualities are employed for a multichannel waveform length transform (WLT), which yields a combined waveform length signal (CWLS). The Q and J points are then determined from the CWLS.

Fall detection method, device, and system

A fall detection method, device, and system are disclosed in this application for detecting whether a target object falls in a detection area. The fall detection method includes: receiving a WIFI signal transmitted by a transmitter in the detection area and extracting CSI data from the WIFI signal; preprocessing the CSI data to obtain CSI data to be identified, and processing the CSI data to be identified through a deep neural network to determine whether the target object falls in the detection area. In this application, a deep neural network is adopted to perform fall detection and the detection accuracy is improved.

MEDICAL SYSTEM FOR MAPPING CARDIAC TISSUE

Medical devices and methods for making and using medical devices are disclosed. An example system for mapping the electrical activity of the heart includes a catheter shaft. The catheter shaft includes a plurality of electrodes including a first and a second electrode. The system also includes a processor. The processor is capable of collecting a first signal corresponding to a first electrode over a time period and generating a first time-frequency distribution corresponding to the first signal. The first time-frequency distribution includes a first dominant frequency value representation occurring at one or more first base frequencies. The processor is also capable of applying a filter to the first signal or derivatives thereof to determine whether the first dominant frequency value representation includes a single first dominant frequency value at a first base frequency or two or more first dominant frequency values at two or more base frequencies. 1. A system for mapping the electrical activity of the heart , the system comprising: the plurality of electrodes includes a first and a second electrode;', 'a processor, wherein the processor is capable of:', 'collecting a first signal corresponding to a first electrode over a time period;', 'generating a first time-frequency distribution corresponding to the first signal, wherein the first time-frequency distribution includes a first dominant frequency value representation occurring at one or more first base frequencies; and', 'applying a filter to the first signal or derivatives thereof to determine whether the first dominant frequency value representation includes a single first dominant frequency value at a first base frequency or two or more first dominant frequency values at two or more base frequencies., 'a catheter shaft, wherein a plurality of electrodes is coupled thereto, and wherein'}2. The system of claim 1 , further comprising: collecting the second signal occurs over the time period;', 'generating a ...

Medical devices for mapping cardiac tissue

Medical devices and methods for making and using medical devices are disclosed. An example system for mapping the electrical activity of the heart includes a processor. The processor is capable of sensing a plurality of signals with a plurality of electrodes positioned within the heart and collecting a plurality of signals corresponding to the plurality of electrodes. Collecting the plurality of signals occurs over a time period. The processor is also capable of generating a plurality of time-frequency distributions corresponding the plurality of signals, generating a composite time-frequency distribution corresponding to the plurality of signals, generating a filter from the composite time-frequency distribution and applying the filter to the plurality of signals or to the plurality of time-frequency distributions

Detection and compensation method for monitoring the place of activity on the body

A measuring system ( 1 ) comprises a sensor ( 6 ) arranged to be attached to a subject for obtaining a measured value representing a physical or a physiological quantity of the subject. The measuring system further comprises means for deriving a subject-related value from the measured value. The sensor is arranged to be attached at one of a plurality of positions on the subject. The measuring system further comprises means for establishing the position of the sensor on the subject. The means for deriving the subject-related value is arranged for deriving the subject-related value also in dependence on the position of the sensor on the subject.

SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR NON-RIGID REGISTRATION OF ELECTROMAGNETIC NAVIGATION SPACE TO CT VOLUME

Methods, systems, and computer-readable media for registering electromagnetic navigation data of a luminal network to a 3D model of the luminal network includes accessing a 3D model of a luminal network based on computed tomographic (CT) images of the luminal network, the 3D model corresponding to a CT coordinate space, selecting a plurality of reference points within the 3D model of the luminal network, accessing a plurality of survey points within the luminal network, the plurality of survey points being based on electromagnetic navigation data and corresponding to a body coordinate space, correlating the plurality of reference points and the plurality of survey points to determine pairs of correlated reference points and survey points; and deriving a transformation that maps the body coordinate space to the CT coordinate space based on the pairs of correlated reference points and survey points. 1. A system for registering electromagnetic navigation data to a 3D model of a luminal network , the system comprising:a location sensor capable of being navigated within a luminal network inside a patient's body;an electromagnetic field generator configured to detect the location of the location sensor as it is navigated within the luminal network;a computing device including a processor and a memory; and access a 3D model of the luminal network based on computed tomographic (CT) images of the luminal network, the 3D model corresponding to a CT coordinate space;', 'select a plurality of reference points within the 3D model of the luminal network;', 'access a plurality of survey points within the luminal network, the plurality of survey points corresponding to a body coordinate space and being based on locations of the location sensor while the location sensor is navigated within the luminal network;', 'correlate the plurality of survey points with the plurality of reference points to determine pairs of correlated reference points and survey points; and', 'derive a ...

ENHANCED IMAGING DEVICES, AND IMAGE CONSTRUCTION METHODS AND PROCESSES EMPLOYING HERMETIC TRANSFORMS

In an exemplary embodiment, a tomography device comprises a scanner that obtains image slices. The device additionally comprises at least one processor configured to: perform a Hermetic Transform on the image slices to obtain hermetically transformed data using; filter and perform an Inverse Hermetic Transform on the Hermetic Transform data to obtain filtered inverse Hermetic Transform data; and perform back projection and angle integration on the filtered inverse Hermetic Transform data. 1. A tomography device comprising:a scanner that obtains at least one image slice; perform a Hermetic Transform on the at least one image slice to obtain hermetically transformed data;', 'filter and perform an Inverse Hermetic Transform on the Hermetic Transform data to obtain filtered inverse Hermetic Transform data; and', 'perform back projection and angle integration on the filtered inverse Hermetic Transform data., 'at least one processor configured to2. The device of claim 1 , wherein the scanner obtains the at least one image slice through at least one of X-Ray imaging claim 1 , radioactive emission imaging claim 1 , Positron Emission imaging claim 1 , sonic imaging claim 1 , ultrasonic imaging claim 1 , Magnetic Resonance Imaging claim 1 , Nuclear Quadropole Imaging claim 1 , or Electron Paramagnetic Imaging.3. The device of claim 1 , wherein the scanner obtains the at least one image slice through at least one of measuring attenuation of radiation claim 1 , measuring time of flight radiation claim 1 , or measuring forward scatter diffraction.4. A method of obtaining a tomographic image comprising:obtaining at least one image slice;performing a Hermetic Transform on the at least one image slice to obtain hermetically transformed data;filtering and performing an Inverse Hermetic Transform on the Hermetic Transform data to obtain filtered inverse Hermetic Transform data; andperforming back projection and angle integration on the filtered inverse Hermetic Transform data.5. The ...

SYSTEMS AND METHODS TO DETERMINE HR, RR AND CLASSIFY CARDIAC RHYTHMS BASED ON ATRIAL IEGM AND ATRIAL PRESSURE SIGNALS

Systems, devices and methods described herein can be used to monitor and treat cardiovascular disease, and more specifically, can be used to determine heart rate (HR), determine respiration rate (RR) and classify cardiac rhythms based on atrial intracardiac electrogram (IEGM) and atrial pressure (AP) signals. The atrial IEGM and AP signals are subject to spectrum transforms to obtain an atrial IEGM frequency spectrum and an AP frequency spectrum. Based on peaks in the atrial IEGM and AP frequency spectrums measures of HR and RR are determined, and arrhythmias are detected and/or arrhythmia discrimination is performed. 1. A method , comprising:(a) obtaining an atrial IEGM signal;(b) obtaining an atrial pressure (AP) signal indicative of pressure in an atrium;(c) subjecting the atrial IEGM signal to a spectrum transform to obtain an atrial IEGM frequency spectrum;(d) subjecting the AP signal to a spectrum transform to obtain an AP frequency spectrum;{'sub': 'IEGM', '(e) determining a first measure of heart rate (HR) based on one or more peaks in the atrial IEGM frequency spectrum; and'}{'sub': AP', 'AP, '(f) determining a second measure of heart rate (HR) and a measure of respiratory rate (RR) based on one or more peaks in the AP frequency spectrum.'}2. The method of claim 1 , wherein step (c) can result in the first measure of heart rate (HR) being indeterminate claim 1 , and further comprising:(g) determining an estimate of the patient's actual heart rate based on at least one of the first and second measures of heart rate; and{'sub': 'AP', "(h) saving, uploading and/or displaying the measure of respiratory rate (RR) determined at step (f) and the estimate of the patient's heart rate determined at step (g)."}3. The method of claim 1 , wherein step (e) comprises:{'sub': IEGM', 'SR, '(e.1) identifying one or more peaks, if any, in the atrial IEGM frequency spectrum that exceed an IEGM threshold (thresh) and is/are within a sinus rhythm frequency range (frange); and ...

Multimode sensor devices

The disclosure provides BMDs that have multiple device modes depending on operational conditions of the devices, e.g., motion intensity, device placement, and/or activity type. The device modes are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods for tracking physiological metrics using the BMDs are provided. In some embodiments, the process or the BMD applies a time domain analysis on data provided by a sensor of the BMD when the data has a high signal (e.g., high signal-to-noise ratio), and applies a frequency domain analysis on the data when the data has a low signal, which contributes to improved accuracy and speed of biometric data.

METHOD, APPARATUS AND SYSTEM FOR GENERATING GATING SIGNAL OF MEDICAL IMAGING EQUIPMENT

The present invention relates to medical equipments, and provides a method, apparatus and system for generating gating signal of medical imaging equipment. The method includes steps of: receiving optical signals obtained by an optical fiber sensor; controlling a photoelectric conversion unit to convert optical signals to electrical signals; extracting signals of BCG waveforms and/or respiration waveforms of the subject from the electrical signals; and generating gating signal of the medical imaging equipment based on the signals of BCG waveforms and/or respiration waveforms. Relative to the method of generating gate signal of the medical imaging equipment based on ECG waveforms, the method of the present invention does not need to a lead line and not need a doctor's work, which enables a better experience. 1. A method for generating gating signal of a medical imaging equipment , comprising steps of:receiving optical signals obtained by an optical fiber sensor;controlling a photoelectric conversion unit to convert optical signals to electrical signals;extracting signals of BCG waveforms and/or respiration waveforms of the subject from the electrical signals; andgenerating gating signal of the medical imaging equipment based on the signals of BCG waveforms and/or respiration waveforms.2. The method of claim 1 , wherein the step of receiving optical signals obtained by an optical fiber sensor is:controlling the optical fiber sensor to obtain optical signals, and then receiving optical signals from the optical fiber sensor; orreceiving optical signals from the optical fiber sensor, and the optical signals being actively obtained by the optical fiber sensor;the step of extracting signals of BCG waveforms and/or respiration waveforms of the subject from the electrical signals is:extracting signals of BCG waveforms and/or respiration waveforms after pre-filtering, amplifying, analog-to-digital conversion, sampling, filtering and de-noising, and signal scaling for ...