ADJUSTABLE PURSUIT OF FLOW RATES IN DOPPLER SPEED SPECTRA

ELECTRICALTHERAPEUTIC EQUIPMENT

DISTINCTION OF HEART RHYTHMS OF MEANS POINCARE ONE OR LORENZ FIGURES.

PROCEDURE AND ANALYSIS DEVICE FOR THE ANALYSIS OF THE RESPIRATION

PROCEDURE AND EQUIPMENT FOR THE ELEKTROKARDIOLOGI SELF INVESTIGATION

PROCEDURE FOR THE QUANTIFICATION OF THE HEART DEATH RISK USING EXERCISE-INDUCED HERZFREQUENZVARIABILITÄTSMETRIKEN

NICHTINVASIVES EQUIPMENT AND PROCEDURE FOR THE ESTIMATION OF THE BLOOD PRESSURE

PROCEDURE AND SYSTEM FOR THE EVALUATION OF KARDIALER ISCHEMIE WITH RR-INTERVALLDATENSÄTZEN

PROCEDURE AND ARRANGEMENT FOR THE MEASUREMENT OF FLOW OF BLOOD IN A BLOOD VESSEL

ELECTRICALTHERAPEUTIC EQUIPMENT FOR THE TREATMENT OF A PERSON OR A MAMMAL

DEVICE FOR THE AUTOMATIC REGULATION OF AN ELECTRO-PNEUMATIC HEART-SYNCHRONOUS CYCLE PUMP

DEVICE TO THE DIAGNOSIS AND QUANTITATIVE ANALYSIS OF APNOE AND FOR THE SIMULTANEOUS STATEMENT OF OTHER ILLNESSES

Electromagnetic blood river measuring instrument

DEVICE FOR THE CONTROLLING OF A HEART SUPPORT DEVICE

PROCEDURE AND DEVICE FOR THE STATISTIC ANALYSIS OF QT-TIME INTERVALS AS FUNCTION THAT RR-ZEITINTERVALLVERÄNDERUNGEN

Lead for implantable medical device that affects pressures within the intrathoracic cavity through diaphragmatic stimulation

A lead for placement on a diaphragm includes a sensor assembly, a connector, and a lead body. The sensor assembly includes a housing having a first end surface and a second end surface opposite the first end surface. The first end surface is intended to contact the diaphragm. The sensor assembly includes at least one fixation structure also associated with the first end surface. The fixation structure is configured to preserve the hermetic integrity of the intrathoracic cavity. The fixation structure may extend through the diaphragm and transition to a state that forms a seal between itself and tissue of the diaphragm. Alternatively, the fixation structure may surround the sensor assembly and form a seal between itself and the surface of the diaphragm.

METHOD AND SYSTEM FOR EVALUATING CARDIAC ISCHEMIA WITH AN EXERCISE PROTOCOL

A method (40a-48a and 40b-48b) of assessing cardiac ischemia in a subject to provide a measure of cardiac or cardiovascular health in that subject is described herein.

METHOD AND APPARATUS FOR INVASIVE DEVICE TRACKING USING ORGAN TIMING SIGNAL GENERATED FROM MPS SENSORS

MEDICAL POSITIONING SYSTEM

System (100) includes a position, and orientation processor (102), a super imposing processor (104), a sensor interface (106), a main sensor (110), an auxiliary sensor (112), a 3D electromagnetic field generator (108), an image interface (116), a3D database (120), and a display unit (114). It is noted that system (100) can include additional 3D electromagnetic field generators.

METHOD, APPARATUS AND SYSTEM FOR CHARACTERIZING SLEEP

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

NON-INVASIVE ELECTROMAGNETIC BLOODFLOW MEASURING SYSTEM WITH REJECTION OF NOISES

NUCLEAR STETHOSCOPE

RENDERING OF DIAGNOSTIC IMAGING DATA ON A THREE-DIMENSIONAL MAP

A method for mapping a structure in a body of a subject includes capturing a three- dimensional (3D) image of the structure comprising diagnostic information, and generating a 3D geometrical map of the structure using a probe inserted into the structure. The image is registered with the map, such that each of a plurality of image points in the image is identified with a corresponding map point in the map. The map is displayed such that the diagnostic information associated with each of the image points is displayed at the corresponding map point.

DIAGNOSE UNIT WITH A ULTRASCHALLECHOSKOP FOR THE REPRESENTATION OF A CROSS SECTION PICTURE OF AN INTERNAL ORGAN.

МОБИЛЬНЫЙ ДИАГНОСТИЧЕСКИЙ ПРИБОР

Изобретение относится к мобильному диагностическому прибору с блоком (1) ЭКГ для записи сигнала (55) ЭКГ, причем блок (1) ЭКГ снабжен двумя или более ЭКГ-электродами (27, 28) для вывода электрических сигналов от тела пациента, соединенными или имеющими возможность соединения с блоком (2) пульсовой оксиметрии для одновременной записи сигнала (56) объемного пульса, причем блок (2) пульсовой оксиметрии содержит по меньшей мере один источник (17, 18) света и по меньшей мере один датчик (20) света для оптического измерения перфузии крови в сосудистой системе ткани тела пациента, и с программно управляемым блоком оценки (4) для оценивания сигнала (55) ЭКГ и сигнала (56) объемного пульса. Для того, чтобы предоставить в распоряжение такой диагностический прибор, который пригоден для самостоятельного диагностирования заболеваний сердечно-сосудистой системы, в соответствии с изобретением блок (4) оценки выполнен с возможностью автоматического распознавания R-зубцов (57) в сигнале (55) ЭКГ, автоматического ...

МОБИЛЬНЫЙ ДИАГНОСТИЧЕСКИЙ ПРИБОР

Изобретение относится к мобильному диагностическому прибору с блоком (1) ЭКГ для записи сигнала (55) ЭКГ, причем блок (1) ЭКГ снабжен двумя или более ЭКГ-электродами (27, 28) для вывода электрических сигналов от тела пациента, соединенными или имеющими возможность соединения с ним, с блоком (2) пульсовой оксиметрии для одновременной записи сигнала (56) объемного пульса, причем блок (2) пульсовой оксиметрии содержит по меньшей мере один источник (17, 18) света и по меньшей мере один датчик (20) света для оптического измерения перфузии крови в сосудистой системе ткани тела пациента и с программно управляемым блоком оценки (4) для оценивания сигнала (55) ЭКГ и сигнала (56) объемного пульса. Для того чтобы предоставить в распоряжение такой диагностический прибор, который пригоден для самостоятельного диагностирования заболеваний сердечно-сосудистой системы, в соответствии с изобретением блок (4) оценки выполнен с возможностью автоматического распознавания R-зубцов (57) в сигнале (55) ЭКГ, автоматического ...

УЛУЧШЕННЫЙ СПОСОБ И СИСТЕМА ДЛЯ ВЫЯВЛЕНИЯ И/ИЛИ ПРОГНОЗИРОВАНИЯ БИОЛОГИЧЕСКИХ АНОМАЛИЙ, НАПРИМЕР ЦЕРЕБРАЛЬНЫХ НАРУШЕНИЙ

Выполняют обнаружение или прогнозирование биологических отклонений при помощи анализа входных биологических или физических данных, используя процедуру обработки данных. Процедура обработки данных включает в себя набор прикладных параметров, связанных с биологическими данными, коррелирующими с биологическими отклонениями. Процедура обработки данных использует алгоритм для генерации серий данных, например серий данных PD2i. Серии данных используют для обнаружения или прогнозирования биологических отклонений. Для уменьшения шума в сериях данных заданную величину углового коэффициента устанавливают, если он меньше заданной величины. Для дальнейшего уменьшения шума внутри серий данных определяют шумовой интервал и, если шумовой интервал находится внутри заданной области, серии данных делят на другую заданную величину и генерируют новые значения для серий данных.

Biological-signal measurement system, biological-information measurement device, and method for changing biological-information extraction algorithm

BRADY PAUSE DETECTION FOR IMPLANTABLE CARDIAC MONITORS

COLLIMATOR FOR the FORMATION Of an IMAGE Of PART Of HUMAN ORGAN WITH a DETECTING CAMERA OF RADIATIONS

Method and apparatus for measuring blood pressure.

SYSTEME D'ENREGISTREMENT ET DE VISUALISATION PAR BALAYAGE SECTORIEL POUR DIAGNOSTICS ULTRASONIQUES

Un appareil de diagnostic médical ultrasonique Il comprend des moyens de transduction pour émettre et recevoir une énergie ultrasonique, des moyens de générer et de visualiser une image bi-dimensionnelle en forme d'éventail visible par l'opérateur en temps réel d'une région du malade examinée à partir de l'énergie reçue par lesdits moyens de transduction, et des moyens d'enregistrement en mode temporel du mouvement associés opérativement auxdits moyens de transduction, caractérisé en ce que lesdits moyens d'enregistrement en mode temporel du mouvement enregistrent une région présélectionnée de l'image en forme d'éventail visible en temps réel durant l'examen du malade. Diagnostics médicaux.

METHOD OF EVALUATING A BABY EARLY MATURING AND SYSTEM THEREFOR

ELECTROCARDIOGRAPHIC R?WAVE DETECTOR

Method and apparatus for stimulating a heart to eliminate rhythmic abnormalities, especially tachycardias

ELECTROMAGNETIC FLOWMETER

EKG SYNCHRONIZED X?RAY DOUBLE PULSE EXPOSURE APPARATUS AND METHOD

Apparatus and method for measuring a time interval, called a "diastolic" time interval, which is characteristic of the condition of a patient

METHOD AND SYSTEM FOR REGULATING THE AUTONOMOUS NERVOUS SYSTEM OF A SUBJECT

L'invention porte notamment sur un procédé et système de régulation du système nerveux autonome (SNA) d'un sujet, comprenant une séquence d'analyse (510) du SNA, une étape d'évaluation (270) et une séquence d'équilibrage (530), cette dernière étant effectuée selon un résultat obtenu à l'issue de l'étape d'évaluation. La séquence d'analyse (510) comprend une étape d'acquisition (230) d'au moins un signal physiologique, et une étape de génération (240) d'au moins un paramètre de surveillance reflétant le SNA à partir du signal physiologique. L'étape d'évaluation (270) des niveaux d'activité des systèmes sympathique et parasympathique est effectuée de manière à déterminer si la différence entre le niveau d'activité du système sympathique et le niveau d'activité du système parasympathique est supérieure à un seuil prédéterminé. La séquence d'équilibrage (530) comprenant notamment étape de génération (290) de stimuli d'équilibrage en fonction de données sensorielles acquises et de l'au moins ...

AUTOMATICALLY DETERMINING 3D CATHETER LOCATION AND ORIENTATION USING 2D FLUOROSCOPY ONLY

ULTRASONIC REALTIME SLOW-MOTION DISPLAY

PURPOSE: To provide a system and method for acquiring ultrasonic data at a certain acquisition speed and displaying at least part of the ultrasonic data at a display speed slower than the acquisition speed. CONSTITUTION: Ultrasonic data are continuously acquired and stored at a frame rate faster than a recognition speed of people's eyes, and at least part of the acquired ultrasonic data is displayed at a frame rate recognizable by a people. The acquisition and display of the data are synchronized from time to time when a condition for synchronization is satisfied. The condition for synchronization relates to a triggering event produced, for example, by a physiological phenomenon, detected with prescribed intervals of time or for example, in the ECG trace, or a triggering event through the triggering produced by the triggering event. Therefore, the acquired ultrasonic data, maintaining the realtime synchronism, are displayed at a display speed slower than the acquisition speed, or preferably ...

심장 기능 부전을 나타내는 정보를 결정하기 위한 방법 및 장치

... 심혈관 운동을 나타내는 신호의 타임 트렌드가 제 1 심박의 진폭이 제2 심박의 진폭보다 더 크고, 일시적인 심박 속도가 제1 심박 전이 제 2심박 전보다 더 큰 표시 현상을 나타내는지를 검출하도록 구성되는 프로세싱 디바이스 (602)를 포함하는 심장 기능 부전을 나타내는 정보를 결정하기 위한 장치. 상기 프로세싱 디바이스는 검출된 표시 현상이 존재하는 상황일 경우 심장 기능 부전의 표시자, 예를 들면 심방 세동의 표시자를 생성하도록 구성된다.

PULSE PERIOD COMPUTATION DEVICE AND BIO-SENSOR PROVIDED WITH SAME

멀티 센서 생리적 모니터링 시스템 및 방법

... 심장 및 호흡기 상태를 모니터링하도록 가슴 및/또는 목의 특별 지역 아래에서 심장 및/또는 동맥 구조에서 발생하는 생리적 현상에 의해 야기되는 음향 사건들을 나타내는 신호들을 취득하기 위해 다중의 생리적 센서 소스들로부터의 연속하여 기록된 데이터를 융합하는 통합 심폐 시스템을 개시한다.

METHOD OF AUTOMATICALLY MONITORING THE MOVEMENT ACTIVITY OF A FETUS

The present invention relates to a system (1) and method for automatically monitoring the movement activity of a fetus. In order to provide a simple and reliable technique for monitoring the movement activity of a fetus, a method of automatically monitoring the movement activity of a fetus is suggested, the method comprising the steps of: detecting (200) the overall movements of a pregnant female, said overall movements comprising movements of the pregnant female and movements of the fetus; detecting at least one second physiological signal (26) of the pregnant female; and - determining (300) the movement activity of the fetus by analyzing the detected overall movements of the pregnant female, analyzing the at least one second physiological signal (26) of the pregnant female, and discriminating movements of the pregnant female from movements of the fetus depending on the analyzing results.

ATRIAL FIBRILLATION BASED ON THORACIC IMPEDANCE AND METHOD FOR CREATING AND ANALYZING CARDIAC FUNCTION GRAPH OF SINUS ARRHYTHMIA

Provided is a method for creating a cardiac function graph of an atrial fibrillation or sinus arrhythmia patient and an analysis evaluation method for a pathophysiologic mechanism from thoracic impedance data. A two-dimensional scatter diagram is created in which (dZ/dt)min values and preceding RR intervals (RR1) that correspond thereto obtained by thoracic impedance measurements are plotted, and a fitted curve thereof is determined. From the distribution shape of the plot and slope of the fitted curve, the cardiac function status of an atrial fibrillation or sinus arrhythmia patient can be visually and easily evaluated. Further, by the ratio between RR1 and a second preceding RR interval (RR2) and relation analysis between RR1 and the (dz/dt)min values, a graph which enables analysis of the pathophysiologic mechanism can be obtained and a more detailed cardiac function evaluation is made possible. The thoracic impedance measurement method imposes less physical burden on the patient and ...

METHODS FOR DETECTING A SEIZURE FROM CARDIAC DATA

Methods, systems, and apparatus for detecting a seizure in a patient. The determination is performed by collecting cardiac data; determining valid heart beats suitable for seizure detection from the cardiac data; calculating heart rate data of interest from the valid heart beats; and identifying a seizure event from the heart rate data. The medical device may then take a responsive action, such as warning, logging the time of the seizure, computing and storing one or more seizure severity indices, and/or treating the seizure. Also, methods for quantifying the quality of a fiducial time marker for a candidate heart beat, quantifying the quality of a candidate heart beat, or determining a time of beat sequence of the patient's heart. Also, methods of modifying constraints use in one or more beat validity tests.

INFORMATION PROCESSING DEVICE, METHOD FOR GENERATING REPRESENTATIVE WAVEFORM, AND PROGRAM FOR GENERATING REPRESENTATIVE WAVEFORM

Provided is a mobile terminal (1) including: an electrocardiographic signal splitter (142) for splitting a biological signal into fixed-interval waveforms; an R-R interval calculation unit (144) for calculating a plurality of R-R intervals indicative of the interval between neighboring R waves for every fixed-interval waveform split by the electrocardiographic signal splitter, and also calculating the mean value of the plurality of calculated R-R intervals; and a candidate waveform selection unit (145) for selecting, by using the mean value of the R-R intervals calculated for every fixed-interval waveform by the R-R interval calculation unit, a plurality of fixed-interval waveforms that correspond to the mean value of the neighboring area where the frequency of the mean value of the R-R intervals is at a maximum; and thus able to generate very precise representative waveform data.

CONTINUOUS X-RAY IMAGE SCREENING EXAMINATION DEVICE, PROGRAM, AND RECORDING MEDIUM

By using the variation of pixel value in a lung of a chest radiographic moving image due to heart beat, the variation information on the pixel value is effectively used for diagnosis such as of a lung embolism or a heart disease, considering the variation information as lung blood flow information. In a continuous X-ray image screening examination device (1), a chest X-ray moving image is received from an X-ray detector (2), and an electrocardiogram used as the original information on a heart beat variation is received from an electrocardiograph (5). From the dynamic state of the wall of the heart measured by the electrocardiograph or the chest X-ray moving image, the heart dynamic state during the cardiac chamber systolic and diastolic phases is grasped, and information such as the variation of the pixel value of the chest X-ray moving image due to increase (lung blood flow increase) of the blood flow from the heart to the lung during the cardiac chamber systolic phase.

SYSTEM FOR DETERMINATION OF CARDIAC ACTIVATION FROM ELECTROGRAMS WITH MULTIPLE DEFLECTIONS

A method and system for determining activation times for electric potentials from complex electrograms to identify the location of arrhythmic sources or drivers. The method includes counting a number deflections in a recorded cardiac electrogram signal from at least one electrode for a predetermined amount of time. A deflection time is identified for each of the counted number of deflections. A most negative slope is identified between each of the identified deflections times. Each of the identified most negative slopes is correlated to a possible activation time. Each possible activation time is associated with a corresponding electrode from the at least one electrode. A spatial voltage gradient at each corresponding electrode is calculated for each possible activation time. The greatest spatial voltage gradient is identified. The greatest spatial voltage gradient is correlated to an activation time.

REAL TIME QRS DETECTION USING ADAPTIVE THRESHOLD

A mobile system for analyzing ECG data includes an analog front end module coupled to a mobile consumer device. The analog front end module is configured to collect ECG data from one or more leads and is operable to convert the analog ECG data to digital ECG data. The mobile consumer device, such as a smart phone (400), is coupled to receive the digital ECG data (150), and is configured to perform QRS detection (451 ) using a filter (436) whose cutoff frequency is adapted to noise level in real time. The ECG signal is amplified non-linearly (431 ) and three windowed threshold signals (D, E, J) are derived. The cutoff frequency for the QRS detection is dynamically selected (439) as a function of the threshold signals. A sample in the amplified signal is identified to be a heart beat point only when the sample value is equal to the first threshold signal and greater than the filtered threshold signal.

R-WAVE DETECTION METHOD

A method for detecting an R-wave from an ECG signal (x(t)) derived from a living body, the method comprising the steps of (a) acquiring the ECG signal from the living body, (b) digitizing the ECG signal into a digital ECG signal (x(ti)), (c) filtering the digital ECG signal with a bandpass filter (53) and applying an absolute value filter (55) thereto to create a filtered ECG signal (g(ti)), (d) for each sequential value of the filtered ECG signal, comparing (57) the filtered ECG signal to an ECG tracking threshold (TT), (e) if the filtered ECG signal is no greater than TT, incrementing a counter (59), but if greater than TT, setting the counter to zero; and (f) comparing (63) the counter to a predetermined refractory count RC and, if the count is equal to RC, outputting an R-wave trigger indicating that an R-wave has been detected.

A METHOD OF DETECTING ATRIAL FIBRILLATION IN AN ELECTROCARDIOGRAM

Disclosed herein are various embodiments of methods, systems and devices for detecting atrial fibrillation (AF) in a patient, preferably using a hand-held AF detection device for acquiring and analyzing the ECG, and making a determination of whether the patient has AF. The method of detecting AF comprises the steps of determining a plurality of sequentially-ordered R-R time intervals, selecting an R-R test interval (INT) from among the plurality of R-R time intervals, sequentially selecting the R-R time intervals and comparing same in an episode base rhythm state machine (134) to determine which of the selected R-R time intervals correspond to at least one of a predetermined number of non-atrial-fibrillation states, at least some of the non-atrial-fibrillation states requiring updating of INT when R-R time intervals are compared therein, and further determining which of the selected R-R time intervals correspond to a potential atrial fibrillation state, and generating, on the basis of the ...

CIRCUIT FOR HEARTBEAT DETECTION AND BEAT TIMING EXTRACTION

A circuit and method for long term electrocardiogram (ECG) monitoring is implemented with the goal of reducing power consumption, battery size, and consequently device size. In one embodiment, the integrated circuit includes an amplifier cell having a plurality of input terminals and an output terminal; a QRS amplifier cell in communication with the output of the amplifier cell; a baseline amplifier cell in communication with the output of the amplifier cell; a comparator cell having a first input terminal in communication with the output terminal of the QRS amplifier cell; and a VDC cell having an input in communication with the output of the baseline amplifier cell and an output in communication with the second input terminal of the comparator cell, wherein the comparator cell generates an output pulse in response to the output signal from the amplifier cell and the output signal from the baseline amplifier cell.

SYSTEMS AND METHODS FOR DETECTION OF THE SUPERIOR VENA CAVA AREA AND THE CAVOATRIAL JUNCTION

Described herein are systems, devices and methods to increase the accuracy of intravascular catheter placement, and to improve electrocardiogram (ECG), intravascular electrogram, and ultrasound Doppler signal processing to detect the Superior Vena Cava (SVC) area. Embodiments of the invention are intended to place an intravascular catheter within the lower 1/3 of SVC to the junction of the SVC and the right atrium (RA) - called the cavoatrial junction (CAJ). In particular, the improved accuracy of CAJ location detection during an intravascular catheter placement can be provided by optimization of ECG parameters and ultrasound Doppler signal using Neuro-Fuzzy logic and/or other processing techniques.

MULTI-SLICE X-RAY CT DEVICE

Triples of X-ray tubes (21A-21C) and single- or multiple-row type detectors (31A-31C) are mounted on a rotary disc (49) installed in a scanner unit (12) at a rotational phase difference of 120°, with a deviation (offset) ΔZ between the triple members in a circumferential rotation axis direction of an examination subject (16) set as ΔZ = d × N, where d is the thickness of the row (slice) of the detectors (31A-31C), and N an offset coefficient. Slice collimators (48A-48C) provided to a tripe of X-ray tubes (21A-21C) and allowed to rotate relatively to the examination subject (16) can provide a high-quality tomographic image with high time resolution, little motion artifact and high space resolution.

TREATMENT OF THE AUTONOMIC NERVOUS SYSTEM

Systems and methods are provided for modulating the autonomic nervous system by the electrical stimulation of the neuro-muscular system of a patient, and include an implantable electrical system for gastrointestinal stimulation which incorporates a heart rate sensor to indicate the neurovegetative patient condition, to initiate and terminate stimulation at specific locations, and an algorithm to automatically control electrical stimulation frequency, interval, amplitude, or a combination of such parameters for adaptive treatment of obesity, anorexia, other eating disorders, diseases related with the so called "metabolic syndrome" (e.g., impaired glucose tolerance and diabetes type 2, GERD, systemic hypertension, early arterovascular degeneration, early senility, and the like), and disorders related to a pathologic inbalance of the autonomic nervous system.

SYSTEM AND METHOD OF ACQUIRING BLOOD-VESSEL DATA

A system and method is provided for substantially synchronizing the acquisition of blood-vessel data to an identifiable portion of heartbeat data. Specifically, a data-gathering device is adapted to acquire heartbeat data and blood-vessel data from a heart-monitoring device and a data-gathering probe, respectively. In a preferred embodiment of the present invention, the blood-vessel data is acquired during a cyclical portion of the heartbeat data. By identifying a cyclical (or commonly reoccurring) portion of the heartbeat data and acquiring blood-vessel data during this cyclical portion (or during an interval that substantially corresponds thereto), the blood vessel can be analyzed as if it were standing still -- i.e., not expanding and relaxing. In one embodiment of the present invention, the heart-monitoring device includes an EKG device, the data-gathering device includes an intra-vascular ultrasound (IVUS) device and a computing device, and the data-gathering probe includes at least ...

METHOD AND APPARATUS FOR FOR IDENTIFYING FEATURES IN AN ECG SIGNAL

A method for identifying an R peak in the QRS complex of an ECG signal includes the steps of identifying a maximum (MAX,3) and a minimum (MIN,4) in the first derivative of the ECG signal and determining an amplititude difference between the maximum and minimum. A first time (Tmax) corresponding to the maximum (MAX) is identified as is a second time (Tdown) corresponding to a point between the maximum (MAX,3) and the minimum (MIN,4) at which the first derivative of the ECG signal is substantially zero. A temporal difference between the first time (Tmax) and the second time (Tdown) is determined. The point is identified as a potential R peak if the amplitude difference is greater than a predetermined amplitude value (AMP) and the temporal difference is greater than a predetermined time value (Qlim).

OPTIMIZATION OF LV AND RV LEAD PLACEMENT BASED ON ELECTRICAL DELAYS

A system comprises a cardiac signal sensing and a processing circuit. The cardiac signal sensing circuit senses a first cardiac signal segment that includes a QRS complex and a second cardiac signal segment that includes a fiducial indicative of local ventricular activation. The processor circuit includes a site activation timer circuit configured to determine a time duration between a fiducial of the QRS complex of the first cardiac signal segment and the fiducial of the second cardiac signal segment. The processor circuit is configured to generate, using the determined time duration, an indication of optimality of placement of one or more electrodes for delivering therapy and provide the indication to at least one of a user or process. 1. A system comprising: sense a first cardiac signal segment that includes a QRS complex; and', 'sense a second cardiac signal segment that includes a fiducial indicative of local ventricular activation at one or more electrodes of the first cardiac lead; and, 'a cardiac signal sensing circuit connectable to a first cardiac lead and configured to 'a site activation timer circuit configured to determine a time duration between a fiducial of the QRS complex of the first cardiac signal segment and the fiducial of the second cardiac signal segment, and', 'a processor circuit communicatively coupled to the cardiac signal sensing circuit, wherein the processor circuit includes generate, using the determined time duration, an indication of optimality of placement of the one or more electrodes of the first cardiac lead for delivering therapy; and', 'provide the indication to at least one of a user or process., 'wherein the processor circuit is configured to2. The system of claim 1 ,wherein the processor circuit includes a QRS complex time duration circuit configured to measure a time duration of the QRS complex, a time interval between a fiducial of the first cardiac signal segment corresponding to an onset the QRS complex and a fiducial of ...

System and Method of Extraction, Identification, Marking and Display of Heart Valve Signals

A sensor device and a method using the sensor device includes a portable device (110) configured to capture composite vibration objects from at least one sensor (102b) and further configured to communicate data to a wireless node (105) in some embodiments. The sensor device further includes at least one or more processors (103, 105, or 106) operatively coupled to the portable device and configured to separate and identify separated vibration sources and further configured to identify a plurality of individual heart vibration events (302, 303, 304, 305) from the composite vibration objects where the one or more processors is further configured to mark individual heart events from the plurality of individual heart vibration events. In some embodiments, the one or more processors marks and presents individual heart events from the plurality of individual heart vibration events.

Method and apparatus for determining the coronary sinus vein branch accessed by a coronary sinus lead

Systems and methods for determining the coronary sinus vein branch location of a left ventricle electrode are disclosed. The systems and methods involve detecting the occurrence of electrical events within the patient's heart including sensing one or more of the electrical events with the electrode and then analyzing the electrical events to determine the electrode's position. The determination of electrode position may be used to automatically adjust operating parameters of a VRT device. Furthermore, the determination of electrode position may be made in real-time during installation of the electrode and a visual indication of the electrode position may be provided on a display screen.

Detection of vasovagal syncope

It has been discovered that a change in posture that results in an increase in orthostatic stress, when followed by a withdrawal of sympathetic nervous activity, may indicate a future onset of vasovagal syncope (VVS). The invention is directed to devices and techniques for early detection of an episode of VVS so that therapies may be applied in advance of the episode to prevent the episode from occurring. Detection of a posture transition triggers a device such as an implanted pacemaker to determine an indicator of an autonomic nervous system activity of the patient. As a function of this determination, the device estimates a probability that the patient will experience VVS. When the probability exceeds a threshold, preventative therapy may be applied to address the VVS and to reduce the risk that the patient will faint.

Blood pressure monitoring apparatus

In blood pressure monitoring apparatus which continuously estimates and monitors blood pressure by using the pulse wave propagation time, blood pressure fluctuation can be accurately estimated. If both blood pressure estimated from the pulse wave propagation time and a waveform parameter obtained from the accelerated pulse wave have abnormal values, it is determined that the blood pressure is truly fluctuating, and blood pressure measurement by another method, e.g., blood pressure measurement using a cuff is performed.

Method and system for evaluating and locating cardiac ischemia

A method of assessing cardiac ischemia in a subject to provide a measure of cardiac or cardiovascular health in that subject is described herein. The method comprises the steps of: (a) collecting a first RR-interval data set from the subject during a stage of gradually increasing heart rate (e.g., a stage of gradually increasing exercise load); (b) collecting a second RR-interval data set from the subject during a stage of gradually decreasing heart rate (e.g., a stage of gradually decreasing exercise load); (c) comparing the first RR-interval data set to the second RR-interval data set to determine the difference between the data sets; and (d) generating from the comparison of step (c) a measure of cardiac ischemia during exercise in the subject. A greater difference between the first and second data sets indicates greater cardiac ischemia and lesser cardiac or cardiovascular health in the subject. The data sets are collected with a plurality of separate electrodes indicative of different ...

CONTROL SYSTEM FOR A VEHICLE SEAT

A system includes a controller coupled to one or more sensors. The controller receives sensor data indicative of biometric data an occupant of a vehicle seat from the sensors. The controller receives the sensor data and analyzes the data to provide biometric data associated with the occupant of the vehicle seat.

METHOD AND DEVICE FOR THE AUTOMATED DETECTION AND DIFFERENTIATION OF CARDIAC RHYTHM DISTURBANCES

The invention relates to a method and a device for the automated detection and differentiation of cardiac rhythm disturbances. According to said method, measured values for a coherent series of a cardiac frequency signal, preferably the times of the peaks of the R waves are correlated together using a Poincaré model and the correlated data transformed into a multi-dimensional phase space and represented as a Lorenz curve. The data transformed into the phase space is morphologically characterised and assigned to particular pre-determined patterns by means of case-based reasoning. Particular clinically-relevant rhythmic or arrhythmic forms can be determined from the assigned patterns by means of empirically-determined relationships.

METHOD AND SYSTEM FOR EVALUATING CARDIAC ISCHEMIA WITH RR-INTERVAL DATA SETS

ELECTROTHERAPY APPARATUS FOR TREATING A PERSON OR A MAMMAL

Электромагнитный измеритель потока крови

PROCEDURE FOR THE ADMISSION OF ULTRASONIC PICTURES OF MOVED OBJECTS

PROCEDURE AND DEVICE FOR THE COLLECTION OF DIAGNOSTICALLY USABLE ONES, THREE-DIMENSIONAL ONE ULTRASONIC GRAPHIC DATA SETS

PROCEDURE FOR THE DERIVATIVE AND EVALUATION OF HEART CYCLE INFORMATION FROM HERZSTROMKURVEN, IN PARTICULAR FOR TELEMEDIZINI APPLICATIONS

NOT INVASIVE HEART PARAMETER MEASUREMENT

EVALUATION OF THE SLEEP QUALITY AND OF RESPIRATORY EMBARRASSMENTS IN THE SLEEP ON BASIS OF KARDIOPULMONALER CLUTCH

EQUIPMENT FOR IMAGING BY NMR

ELECTROCARDIOGRAM SYSTEM AND PROCEDURE FOR THE WIDE MEASUREMENT OF ELECTROCARDIOGRAM SIGNALS

MONITORING OF A PATIENT CONDITION UNDER ANAESTHESIA OR SEDIERING

DEVICE TO THE PICTURE GIVING OF THE INNER BODY

DEVICE TO THE FORECAST OF TACHYARRYTHMIEN

FOR PROCEDURES FOR THE SIMULTANEOUS REPRESENTATION OF TO ITS EMERGENCE DIFFERENT LONG TIME BENOTIGENDEN PICTURES ON THE SCREEN CATHODE RAY PIPES, IN PARTICULAR FOR THE SIMULTANEOUS REPRESENTATION OF AN ULTRASONIC SECTIONAL VIEW AND AN ELECTROCARDIOGRAM CURVE PATH AND TURN OUT TO DURCHFUHRUNG THIS PROCEDURE

DEVICE FOR MEASURING HEART SIGNALS

Implantable medical devices, systems, and methods for selection of optimal diaphragmatic stimulation parameters to affect pressures within the intrathoracic cavity

A controller delivers electrical stimulation therapy to a diaphragm through the one or more electrodes, and obtains a signal indicative of a pressure within an intrathoracic cavity from a pressure measurement source. The electrical stimulation therapy is defined by stimulation parameters. The controller obtains at least one additional signal indicative of a pressure within an intrathoracic cavity by changing at least one of the stimulation parameters, and delivering an electrical stimulation therapy to the diaphragm in accordance with the changed one of the plurality of stimulation parameters. The controller repeats the process of obtaining additional signals indicative of pressure based on a changing stimulation parameter by scanning through a range of values for the changing stimulation parameter. The controller derives a measure of interest from each of the obtained signals, and selects as an optimal stimulation therapy, the electrical stimulation therapy that results in a most acceptable ...

Finger ring electrocardiogram monitor and associated systems and methods

A finger ring health status monitoring device [100] comprising an inner ring member [210] and an outer ring member [220] positioned radially outward from and operably connected to the inner ring member [210]. The inner ring member [210] features a conductor characterized by at least one physiological-type sensor, and an annular bladder that defines an adjustable aperture sized to receive a finger of a patient [910, 920]. Adjustment of the aperture is accomplished by rotating the outer ring member in a first direction about an axis of rotation common to the outer ring member [220] and to the inner ring member [210], thereby causing the bladder to expand radially inward so as to reduce an inside diameter of the aperture. Rotating the outer ring member [220] in a second direction opposite the first direction causes the bladder to contract, thus increasing the inside diameter of the aperture.

DOUBLE BIPOLAR CONFIGURATION FOR ATRIAL FIBRILLATION ANNOTATION

Catheterization of the heart is carried out by inserting a probe having electrodes into a heart of a living subject, recording a bipolar electrogram and a unipolar electrogram from one of the electrodes at a location in the heart, and defining a window of interest wherein a rate of change in a potential of the bipolar electrogram exceeds a predetermined value. An annotation is established in the unipolar electrogram, wherein the annotation denotes a maximum rate of change in a potential of the unipolar electrogram within the window of interest. A quality value is assigned to the annotation, and a 3-dimensional map is generated of a portion of the heart that includes the annotation and the quality value thereof. ; ...

METHOD AND APPARATUS FOR IDENTIFYING OVERSENSING USING FAR-FIELD INTRACARDIAC ELECTROGRAMS AND MARKER CHANNELS

A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far- field electrogram (EGM) signals are analyzed to detect the occurrence of R- waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc.. Identification of the type of oversensing may be determined by analysis of the number and pattern of marker channel sensed R-waves with respect to the timing of the R-waves detected ...

APPARATUS AND METHOD FOR ANALYZING PHYSIOLOGICAL CONDITIONS WITHIN AN ORGAN OF A LIVING BODY

METHOD AND SYSTEM OF ECG DATA REVIEW AND ANALYSIS

IMPROVED METHOD AND SYSTEM OF ECG DATA REVIEW AND ANALYSIS A method and computerized system for ECG data review and analysis are provided. In preferred embodiments, a transformation is performed on beat data and the transformed data are categorized into beat "bins." The clinician/user may select sensitivity to vary the number of bins created by the system. Once beats are preliminarily assigned to bins by the system, the clinician/user may review beats by bin and reassigned beats as desired. In preferred embodiments, recategorization is accomplished by "dragging" a beat to a new bin with the aid of a pointing device or "mouse." In preferred embodiments, a superimposition mode allows dynamic review of beat graphs with automatic detection, color coding, and optional pause at abnormal beats. Audio information is also preferably provided to aid the clinician/user in detecting abnormal beats. A P-wave marker capability is also provided to give a constant reference point during beat review in ...

WEARABLE HEALTH MONITORING DEVICE

A wearable patient device is provided that includes one or more sensors. The one or more sensors can record one or both of ECG information or phonocardiographic information. The sensor information can be used to determine the blood pressure of a monitored individual, including on a continuous basis. Blood pressure can be determined using one or both of a determined time to empty or fill one or more heart chambers or first and second blood velocities. Vital sign information can be provided to a monitoring individual, including graphical representations of trend information.

MEDICAL IMAGING AND NAVIGATION SYSTEM

The three dimensional imaging system (100) includes, a main computer (102), a two-dimentional image acquisition device (104), an ECG monitor (106), a medical positioning system (MPS) (108), a frame grabber (110), a three dimensional image reconstructor (112), an adaptive volumetric database (114), a superingposing processor (116), a surgical tool (120), a plurality of MPS sensors (162(1)-162 (N), and a display (130).

SYSTEM, METHOD AND BIOMARKERS FOR AIRWAY OBSTRUCTION

Two biomarkers are provided for obstructive apnea. A first biomarker determines amplitude and timing of inspiratory efforts from a bioelectric signal. The respiratory rate is compared with a normal pre-detection rate, and the amplitude of the effort is compared with a normal amplitude. The obstructive apnea is likely present if a series of inspiratory efforts are above a normal amplitude and with increasing amplitude, but at a normal rate. A second biomarker determines heart rate and respiratory rate. A normal lower threshold for heartbeat interval is established, and if subthreshold events occur (short RR intervals), a commencement time for each sequence of subthreshold events is compared for a respiratory rate-normalized window. If the number of subthreshold events exceeds a minimum for the window, obstructive apnea is likely present.

METHOD AND APPARATUS FOR IDENTIFYING CARDIAC AND NON-CARDIAC OVERSENSING USING INTRACARDIAC ELECTROGRAMS

Published without an Abstract ...

WEARABLE CARDIAC MONITOR

Systems, methods and devices for reducing noise in cardiac monitoring including wearable monitoring devices having at least one electrode for cardiac monitoring; in some implementations, the wearable device using a composite adhesive having at least one conductive portion applied adjacent the electrode; and, in some implementations, including circuitry adaptations for the at least one electrode to act as a proxy driven right leg electrode.

SYSTEM AND METHOD FOR MONITORING AND DIAGNOSING PATIENT CONDITION BASED ON WIRELESS SENSOR MONITORING DATA

A device adapted to attach to a subject for detecting an ECG signal of the subject. The device includes a first, a second, and a third electrode, where the electrodes form an orthogonal configuration.. Two channels of ECG data can be obtained using a common electrode, and can be further combined to obtain a further channel using vector mathematics. The channel combination can be performed at vector angles suitable for optimizing the detection of various features of the ECG spectra of the subject. A method of using an implantable cardiac device together with surface-attached wireless sensor(s) is also provided where the acquired data from the implantable cardiac device and from the surface-attached wireless sensor(s) are both used for diagnosing patient's heart conditions and administering appropriate therapies.

Real time QRS detection using adaptive threshold

A mobile system for analyzing ECG data includes an analog front end module coupled to a mobile consumer device. The analog front end module is configured to collect ECG data from one or more leads and is operable to convert the analog ECG data to digital ECG data. The mobile consumer device, such as a smart phone (400), is coupled to receive the digital ECG data (150), and is configured to perform QRS detection (451 ) using a filter (436) whose cutoff frequency is adapted to noise level in real time. The ECG signal is amplified non-linearly (431 ) and three windowed threshold signals (D, E, J) are derived. The cutoff frequency for the QRS detection is dynamically selected (439) as a function of the threshold signals. A sample in the amplified signal is identified to be a heart beat point only when the sample value is equal to the first threshold signal and greater than the filtered threshold signal.

Assessment of cardiac health based on heart rate variability

A diagnostic method includes receiving data comprising a series of heartbeat intervals acquired from a patient ( 22 ). A first type of computation, selected from a group of computation types consisting of time-domain analysis ( 82 ), frequency-domain analysis ( 84 ), and nonlinear fractal analysis ( 86 ), is applied to the data in order to compute a first measure of heart rate variability (HRV) of the patient. A second type of computation, selected from the group and different from the first type, is applied to the data in order to compute a second measure of the HRV of the patient. At least the first and second measures are combined so as to derive a parameter indicative of a condition of cardiac health of the patient.

Arrhythmia diagnosis method and device

Disclosed is an arrhythmia-diagnosing method and device for diagnosing arrhythmias, such as fibrillation or tachycardia. The arrhythmia-diagnosing method includes the following steps: measuring (a) the heart characteristic length, and the (b) frequency and (c) conduction velocity of the cardiac electrical wave; and (d) determining the occurrence or absence of an arrhythmia by using the three parameters measured in steps (a) to (c). With this invention, it is possible to predict and diagnose an electrical wave tornado, one of the causes of arrhythmia, by using a non-dimensional parameter, to identify patients at risk of death or brain death due to an arrhythmia and to reduce the mortality of patients suffering from arrhythmias significantly.

METHOD AND APPARATUS FOR CLASSIFYING CARDIAC ARRHYTHMIA

A method and a device for classifying cardiac arrhythmia, using an electrocardiogram (ECG) signal, are provided. The method includes receiving the ECG signal representing an electrical activity of a heart of an individual over a period of time, the ECG signal including ECG beats. The method further includes converting each of the ECG beats into symbols. The method further includes identifying an arrhythmia class indicating a type of cardiac arrhythmia associated with the individual from arrhythmia classes indicating respective types of cardiac arrhythmia based on the symbols representing each of the ECG beats. 1. A method of classifying cardiac arrhythmia , using an electrocardiogram (ECG) signal , the method comprising:receiving the ECG signal representing an electrical activity of a heart of an individual over a period of time, the ECG signal comprising ECG beats;converting each of the ECG beats into symbols; andidentifying an arrhythmia class indicating a type of cardiac arrhythmia associated with the individual from arrhythmia classes indicating respective types of cardiac arrhythmia based on the symbols representing each of the ECG beats.2. The method of claim 1 , wherein the converting of each of the ECG beats comprises:detecting a R-peak of each of the ECG beats;segmenting a region of each of the ECG beats that is around the respective R-peak; andconverting the region of each of the ECG beats into the symbols.3. The method of claim 1 , wherein the identifying of the arrhythmia class comprises:determining a morphology similarity measure between each of the ECG beats and training beats corresponding to the respective arrhythmia classes by comparing the symbols representing each of the ECG beats and symbols representing each of the training beats;identifying an ECG beat from the ECG beats based on a training beat comprising a highest morphology similarity measure with the ECG beat;determining whether the highest morphology similarity measure associated with the ...

Patient Readable Portable Atrial Fibrillation Detector

Systems and devices to gather data from a subject's heart, analyze said data to determine whether the subject is experiencing cardiac arrhythmia, and display results of said determining. Use, and display of cardiac condition information, are preferably simple and unambiguous to untrained users. Atrial fibrillation is the most common form of cardiac arrhythmia, and involves the two upper chambers of the heart. A trained medical technician or Doctor can usually recognize the unique heart contractions related to Atrial Fibrillation or Atrial Flutter. Trained medical personnel can generally detect Atrial Fibrillation by taking a patient's pulse, but it takes training and experience that most lay persons lack. Typically, a doctor will use a 12-lead EKG to make a definitive determination of Atrial Fibrillation or Atrial Flutter.No device to date provides individuals with unaided rapid determination of whether they are experiencing Atrial Fibrillation or Atrial Flutter, which left untreated for longer than 48 hours can lead to risk of debilitating stroke or death.The costs of health care are rising quickly, and rapid access to emergency health services is perennially uncertain.For ease of reading Artial Fibulation and Atrial Flutter will be collectively referred as Afib.Generally, individuals are at high risk to develop Afib beginning at age 65. Ten thousand people per day turn 65 in the U.S. alone. Other people at risk of developing Afib include adolescents, due to the increasing popularity of energy drinks; diabetics, who have a 40% higher risk of developing Afib than those without diabetes; and those who have a close family member with Afib have a 40% higher risk of developing Afib.Of people with untreated Afib, 7%, if left untreated, will die or be permanently and seriously disabled, likely requiring full time medical care.Afib can be treated successfully in almost all cases, if the victim is properly and timely screened. Screening is far less expensive than treatment ...

USING DEVICE BASED ELECTROGRAMS TO IDENTIFY BUNDLE BRANCH BLOCK MORPHOLOGY

A patient QRS duration can be received or determined, such as using one or more patient physiological sensors. A portion of the QRS duration can be determined, such as a right or left ventricular activation time. In an example, the right ventricular activation time can be determined by identifying an onset of a QRS complex and an R-wave peak in the QRS complex. In an example, when the QRS duration exceeds a threshold duration, and the RV activation time does not exceed a second threshold duration, an indication of a cardiac conduction dysfunction can be provided, such as for discriminating between left bundle branch block and right bundle branch block. 1. An apparatus comprising: receive or determine a QRS duration representative of a time duration of a QRS complex;', 'receive or determine an RV activation duration representative of a time duration between (1) an onset of the QRS complex, and (2) an R-wave in a right ventricle;', 'determine whether the QRS duration exceeds a first threshold value and, when the QRS duration exceeds the first threshold value, determine at least one of: (1) whether the RV activation duration is shorter than a second threshold value; and (2) whether a ratio or differential relationship of the RV activation duration to the QRS duration is less than a third threshold value; and', 'provide an indication of left ventricular conduction dysfunction when it is determined that (1) the RV activation duration is shorter than second threshold value; or (2) the ratio or differential relationship of the RV activation duration to the QRS duration is less than the third threshold value., 'a processor circuit, configured to2. The apparatus of claim 1 , wherein the processor circuit is configured to provide the indication of left ventricular conduction dysfunction to indicate Left Bundle Branch Block (LBBB) as distinguished from Right Bundle Branch Block (RBBB) or Intraventricular Conduction Delay (IVCD) when it is determined that the RV activation ...

Method and Apparatus for Identifying Cardiac Risk

A cardiac-based metric is computed based upon characteristics of a subject's cardiac function. In accordance with one or more embodiments, the end of a mechanical systole is identified for each of a plurality of cardiac cycles of a subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle. The end of an electrical systole of an electrocardiogram (ECG) signal for each cardiac cycle is also identified. A cardiac-based metric is computed, based upon a time difference between the end of the electrical systole and the end of the mechanical systole, for the respective cardiac cycles. 1. A method for computing a cardiac-based metric , the method comprising: identifying the end of a mechanical systole based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle, and', 'identifying the end of an electrical systole of an electrocardiogram (ECG) signal for the cardiac cycle; and, 'for each of a plurality of cardiac cycles of a subject,'}computing the cardiac-based metric based upon a time difference between the end of the mechanical systole and the end of the electrical systole in each of the plurality of cardiac cycles.2. The method of claim 1 , whereinidentifying the end of the mechanical systole includes, in a circuit, processing electronic heart sound data for the cardiac cycle to identify the end of the mechanical systole based on characteristics of the heart sound data, andidentifying the end of the electrical systole includes, in a circuit, processing electronic ECG signal data for the cardiac cycle to identify the end of the electrical systole based on characteristics of the ECG signal data.3. The method of claim 1 , wherein computing the cardiac-based metric includes computing a metric indicative of proarrhythmic risk.4. The method of claim 1 , wherein identifying the end of the mechanical systole includes identifying the end of a mechanical systole using a heart sound ...

METHODS AND SYSTEMS FOR ATRIAL FIBRILLATION DETECTION

Methods and systems for automatic detection of Atrial Fibrillation (AF) are disclosed. The methods and systems use time-varying coherence functions (TVCF) to detect AF. The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs). 1. A processor implemented method for detecting atrial fibrillation , the processor implemented method comprising:obtaining, using one or more processors, a time-varying coherence function by multiplying two time-varying transfer functions (TVFTs), the two time-varying transfer functions obtained using two adjacent data segments, each adjacent data segment being a data segment related to R-R intervals, with one data segment as input signal and another data segment as output to produce a first TVTF; a second TVTF is produced by reversing input and output signals, using said another data segment as input signal and said one data segment as output; anddetermining, using one or more processors, whether the time-varying coherence function is less than a predetermined quantity.2. The method of wherein determining whether the time-varying coherence function is less than the predetermined quantity comprises:obtaining one or more indicators of atrial fibrillation; anddetermining whether the one or more indicators of atrial fibrillation exceed predetermined thresholds.3. The method of wherein the one or more indicators of atrial fibrillation comprise a variance of the time coherence function.4. The method of wherein the one or more indicators of atrial fibrillation also comprise Shannon entropy.5. The method of wherein the predetermined thresholds are determined using receiver operator characteristic (ROC) analysis.6. A system for detecting atrial fibrillation claim 2 , the system comprising:an analysis component analyzing a signal related to R-R intervals; the analysis component obtaining a time-varying coherence function by multiplying two time-varying transfer functions (TVFTs), the two time-varying transfer ...

MEASUREMENTS OF FATIGUE LEVEL USING HEART RATE VARIABILITY DATA

Methods, apparatuses, and systems for quantifying fatigue of a subject are disclosed. The methods may include measuring an electrocardiogram (ECG) signal from the subject. The methods may further include calculating, with a processing device, a Heart Rate Variability (HRV) metric in response to the ECG signal. The methods may additionally include calculating, with a processing device, a fatigue level in response to the HRV metrics. 1. A method for quantifying fatigue of a subject , the method comprising:measuring an electrocardiogram (ECG) signal from the subject;calculating, with a processing device, a Heart Rate Variability (HRV) metric in response to the ECG signal; andcalculating, with a processing device, a fatigue level in response to the HRV metric.2. The method of claim 1 , further comprising transmitting the ECG signal to the processing device after measuring the ECG signal from the subject.3. The method of claim 1 , further comprising triggering an alarm in response to the fatigue level.4. The method of claim 3 , further comprising subjecting the subject to a stressor and assessing change in the HRV metric versus decline in cognitive performance.5. The method of claim 1 , wherein calculating the HRV metric comprises determining the average R-R interval over a period of time.6. The method of claim 5 , wherein the period of time is 30 seconds to 15 minutes.7. The method of claim 1 , wherein calculating the HRV metric comprises determining the R-R interval standard deviation over a period of time.8. The method of claim 7 , wherein the period of time is 30 seconds to 15 minutes.9. The method of claim 1 , wherein calculating the HRV metric comprises calculating the power spectral density of the ECG signal.10. The method of claim 9 , wherein calculating the power spectral density comprises:filtering the ECG signal with a low-pass impulse response filter to form a filtered ECG signal; andperforming a Fourier transform on the filtered ECG signal to form a ...

HEARTBEAT SIGNAL PROCESSOR AND HEARTBEAT SIGNAL PROCESSING METHOD

A heartbeat signal processor includes a first and second electrodes to obtain a first and second heartbeat signals, a DC voltage calculating unit and an AC amplitude calculating unit to calculate first and second average DC voltage values of direct-current components and first and second average AC amplitude values of alternate-current components in the first and second heartbeat signals, a correlation coefficient calculating unit to calculate a correlation coefficient between the alternate-current components in the first and second heartbeat signals, an amplification factor setting unit to set an amplification factor on the basis of the first and second average DC voltage values, the first and second average AC amplitude values, and the correlation coefficient, and a signal generating unit to generate a differential heartbeat signal by amplifying the first or second heartbeat signal on the basis of the amplification factor and calculating a difference between the first and second heartbeat signals. 1. A heartbeat signal processor comprising:a first electrode configured to be gripped with one hand to detect a first heartbeat signal, the first heartbeat signal being a potential difference signal with respect to a reference potential;a second electrode configured to be gripped with another hand to detect a second heartbeat signal, the second heartbeat signal being another potential difference signal with respect to the reference potential;a DC voltage calculating unit configured to calculate first and second average DC voltage values as voltage values of direct-current components in the first and second heartbeat signals;an AC amplitude calculating unit configured to calculate first and second average AC amplitude values as amplitude values of alternate-current components in the first and second heartbeat signals;a correlation coefficient calculating unit configured to calculate a correlation coefficient between the alternate-current component in the first heartbeat ...

R-PEAK DETECTION APPARATUS AND CONTROL METHOD THEREOF

A method of controlling of an R-peak detection apparatus, which detects an R-peak from an ElectroCardioGram (ECG) signal, includes receiving the ECG signal, reading out a pre-stored ECG template, comparing the EG signal with the pre-stored ECG template to determine a similarity between the ECG signal and the pre-stored ECG template and determining whether the similarity is equal to or greater than a threshold value, and determining a corresponding interval as the R-peak when the similarity is equal to or greater than the threshold value. 1. A method of controlling of an R-peak detection apparatus which detects an R-peak from an ElectroCardioGram (ECG) signal , the method comprising:receiving the ECG signal;reading out a pre-stored ECG template;comparing the received ECG signal with the pre-stored ECG template to determine a similarity between the ECG signal and the pre-stored ECG template; anddetermining whether the similarity is equal to or greater than a threshold value, and determining a corresponding interval as the R-peak when the similarity is equal to or greater than the threshold value.2. The method of claim 1 , further comprising:filtering the received ECG signal to remove noise from the ECG signal.3. The method of claim 1 , wherein the similarity between the ECG signal and the pre-stored ECG template isdetermined based on a resulting value of a correlation between the ECG signal and the pre-stored ECG template.5. The method of claim 1 , further comprising claim 1 , subsequent to determining the similarity and prior to determining the R-peak:determining a corresponding interval in which the similarity is equal to or greater than the threshold value as an R-peak candidate;processing the ECG signal based on the R-peak candidate to update the pre-stored ECG template;determining an updated similarity by comparing the updated ECG template with the ECG signal; andupdating the R-peak candidate based on the updated similarity.6. The method of claim 5 , wherein ...

SYSTEMS FOR DETECTING CARDIAC ARRHYTHMIAS

A system for calculating a variability value that is indicative of AF by obtaining a signal sequence of a plurality of RR intervals by monitoring electrical activity of a patient's heart. Each RR interval is converted into an instantaneous heart rate value and sorted into ascending order. The difference between each successive heart rate is calculated, discarding the two largest differences. The variability value is calculated by adding the retained differences. 1. A system for calculating a variability value that is indicative of AF using a sequence of RR intervals , wherein said system comprises a non-volatile computer readable medium storing a plurality of programmatic instructions and wherein said programmatic instructions , when executed:obtain a signal sequence comprising a plurality of RR intervals wherein said signal sequence is obtained by monitoring the time intervals between successive heart beats of a patient's heart by measuring at least one of electrical activity; acoustic activity; trans-thoracic impedance; blood pressure; blood velocity; blood oxygenation; heart movement and/or deformation;convert each RR interval in said sequence into an instantaneous heart rate value;sort said instantaneous heart rate values into ascending order;calculate the difference between each successive heart rate;discard the two largest differences generated in the previous step; andcalculate a variability value by adding the retained differences.2. The system of claim 1 , wherein said programmatic instructions claim 1 , when executed claim 1 , also segment said RR interval sequence into a plurality of segments and generate a variability value for each said segment.3. The system of claim 2 , wherein said programmatic instructions claim 2 , when executed claim 2 , also filter said generated variability value for at least one segment using previous or successive segment variability values.4. The system of wherein said filtering is implemented by a 7-sample median filter.5. ...

METHOD AND SYSTEM TO MEASURE ECG AND RESPIRATION

A method for monitoring the respiration rate of a patient includes attaching a plurality of electrocardiogram (ECG) electrodes and a pressure sensor to a patient, producing a first respiration signal based on variations detected in signals provided by the ECG electrodes attached to the patient, and producing a second respiration signal based on pressure variations detected in the pressure sensor secured to the patient. The method also includes selecting at least one of the first respiration signal and the second respiration signal based on respective signal qualities and producing a respiration rate from the selected signal. The method also includes providing indicia of the respiration rate. The method may also include displaying ECG signals with the indicia of the respiration rate. 1. A patient monitoring system comprising:a plurality of electrocardiogram (ECG) lead channels configured to communicate with a plurality of ECG electrodes configured to attach to a patient;an ECG respiration component to produce a first respiration signal based on variations detected in the ECG lead channels;a pressure measurement channel to communicate with a pressure sensor attached to the patient;a pressure respiration component configured to detect variations in the pressure measurement channel and to produce a second respiration signal based on pressure variations detected in the pressure measurement channel;respiration decision logic configured to compare signal qualities of the first and second respiration signals to produce a respiration rate from at least one of the first respiration signal and the second respiration signal based on the respective signal qualities; anda display device to provide indicia of the respiration rate.2. The system of claim 1 , wherein the variations detected in the ECG lead channels comprise variations in thoracic impedance during patient respiration.3. The system of claim 2 , wherein the ECG respiration component is configured to:produce an impedance ...

System for Monitoring and Diagnosis of Cardiac Electrogram Signals Using Multi-Dimensional Analysis

An analyzer automatically analyzes both, a common portion of multiple successive heart cycles of electrophysiological signal data synchronized with respect to a P wave and a common portion of multiple successive heart cycles of the signal data synchronized with respect to an R wave, to identify changes occurring in amplitude value and time duration of the common portion of the multiple successive heart cycles of the signal data. A display processor initiates generation of at least one display image showing the common portion of the multiple successive heart cycles synchronized in time, adjacent and mutually vertically displaced to facilitate visual comparison and highlighting an identified change by a visual attribute. 1. A system for analyzing cardiac electrophysiological signals , the system comprising:an acquisition processor for acquiring signal data representing heart electrical activity over a plurality of heart cycles, an individual heart cycle comprising a plurality of different signal portions between successive sequential R waves; a common portion of a plurality of successive heart cycles of the signal data synchronized with respect to a P wave and', 'a common portion of a plurality of successive heart cycles of the signal data synchronized with respect to an R wave, to identify changes occurring in amplitude value and time duration of the common portion of the plurality of successive heart cycles of the signal data; and, 'an analyzer for automatically analyzing both,'}a display processor for initiating generation of at least one display image showing the common portion of said plurality of successive heart cycles synchronized in time, adjacent and mutually vertically displaced to facilitate visual comparison and highlighting an identified change by a visual attribute.2. The system of claim 1 , includinga repository of information associating said identified change with an atrial or ventricular portion of the a heart and whereinsaid analyzer automatically ...

Motion and noise artifact detection for ecg data

Technologies are provided herein for real-time detection of motion and noise (MN) artifacts in electrocardiogram signals recorded by electrocardiography devices. Specifically, the present disclosure provides techniques for increasing the accuracy of identifying paroxysmal atrial fibrillation (AF) rhythms, which are often measured via such devices. According to aspects of the present disclosure, a method for detecting MN artifacts in an electrocardiogram (ECG) recording includes receiving an ECG segment and decomposing the received ECG segment into a sum of intrinsic mode functions. The intrinsic mode functions associated with MN artifacts present within the ECG segment are then isolated. The method further includes determining randomness and variability characteristic values associated with the isolated intrinsic mode functions and comparing the randomness and variability characteristic values to threshold randomness and variability characteristic values. If the randomness and variability characteristic values exceed the threshold characteristic values, the ECG signal is determined to include MN artifacts.

METHOD OF PREDICTING ACUTE CARDIOPULMONARY EVENTS AND SURVIVABILITY OF A PATIENT

A method of producing an artificial neural network capable of predicting the survivability of a patient, including: storing in an electronic database patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; and training the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data. 1. A method of producing an artificial neural network capable of predicting the survivability of a patient , the method comprising:storing in an electronic database patient health data, the patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability;providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; andtraining the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron of the plurality of artificial neurons is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data, such that the artificial neural network is trained to produce a ...

R-Wave Detection Method

A method for detecting an R-wave from an ECG signal (x(t)) derived from a living body, the method comprising the steps of (a) acquiring the ECG signal from the living body, (b) digitizing the ECG signal into a digital ECG signal (x(t)), (c) filtering the digital ECG signal with a bandpass filter () and applying an absolute value filter () thereto to create a filtered ECG signal (g(t)), (d) for each sequential value of the filtered ECG signal, comparing () the filtered ECG signal to an ECG tracking threshold (TT), (e) if the filtered ECG signal is no greater than TT, incrementing a counter (), but if greater than TT, setting the counter to zero; and (f) comparing () the counter to a predetermined refractory count RC and, if the count is equal to RC, outputting an R-wave trigger indicating that an R-wave has been detected. 1. A method for detecting an R-wave from an ECG signal derived from a living body , the method comprising the steps of:acquiring the ECG signal from the living body;digitizing the ECG signal into a digital ECG signal;filtering the digital ECG signal with a bandpass filter and applying an absolute value filter thereto to create a filtered ECG signal;for each sequential value of the filtered ECG signal, comparing the filtered ECG signal to an ECG tracking threshold (TT);if the filtered ECG signal is no greater than TT, incrementing a counter, but if greater than TT, setting the counter to zero; andcomparing the counter to a predetermined refractory count RC and, if the count is equal to RC, outputting an R-wave trigger indicating that an R-wave has been detected.3. The method of wherein claim 2 , if no R-wave trigger has occurred for a predetermined dropout period (t) claim 2 , TT is set to ST.4. The method of wherein cis about 0.5 claim 3 , cis about 0.25 claim 3 , tis about 2 seconds claim 3 , RC corresponds to a time period of about 90 milliseconds claim 3 , and tis about 5 seconds.5. The method of wherein tis within the range of about 2 to 10 ...

APPARATUS AND METHOD FOR REMOVING NOISE FROM BIOSIGNALS

Disclosed are an apparatus and a method for removing noise from biosignals. An embodiment of the invention provides an apparatus for removing noise from biosignals measured for a particular period of time that includes: a similarity calculating unit configured to calculate a similarity between any one biosignal from among the biosignals and other biosignals; and a noise removal unit configured to remove noise from the any one biosignal by using the similarity. Aspects of the invention provide the advantage of effectively removing noise from biosignals without distorting the waveforms of the biosignals. 1. An apparatus for removing noise from biosignals measured for a particular period of time , the apparatus comprising:a similarity calculating unit configured to calculate a similarity between any one biosignal from among the biosignals and other biosignals; anda noise removal unit configured to remove noise from the any one biosignal by using the similarity.2. The apparatus of claim 1 , wherein the noise removal unit calculates weights for the other biosignals respectively by using the similarity and removes noise from the any one biosignal based on a weighted average of the biosignals using the weights.3. The apparatus of claim 1 , wherein the biosignal is an ECG (electrocardiogram) signal claim 1 , and the ECG signal includes a P-wave claim 1 , a QRS-complex claim 1 , and a T-wave waveform.4. The apparatus of claim 3 , further comprising a selection unit configured to select a particular target signal for the noise removal from among signals included in the any one biosignal.5. The apparatus of claim 4 , wherein the similarity calculating unit comprises:an alignment unit configured to align the biosignals with respect to an R peak of the QRS complex waveform included in the biosignals;a search window setting unit configured to set a range of a search window to include the target signal and signals within a particular range centering around the target signal from ...

APPARATUS AND METHOD FOR IDENTIFYING ATRIAL ARRHYTHMIA BY FAR-FIELD SENSING

In a subcutaneous implantable cardioverter/defibrillator, cardiac arrhythmias are detected to determine necessary therapeutic action. Cardiac signal information is sensed from far field electrodes implanted in a patient. The sensed cardiac signal information is then amplified and filtered. Parameters such as rate, QRS pulse width, cardiac QRS slew rate, amplitude and stability measures of these parameters from the filtered cardiac signal information are measured, processed and integrated to determine if the cardioverter/defibrillator needs to initiate therapeutic action. 1. (canceled)2. A method of discriminating cardiac rhythms in an implantable defibrillator , the implantable defibrillator including a plurality of electrodes for use in sensing and/or therapy delivery , as well as operational circuitry coupled to the plurality of electrodes , the method comprising:the operational circuitry detecting a number of cardiac events in an electrical signal using at least two of the plurality of electrodes;the operational circuitry calculating a rate using the number of detected cardiac events;the operational circuitry determining a width for a plurality of the detected cardiac events and further determining a width stability therefrom;the operational circuitry applying a decision boundary to a combination of the rate and width stability observed from the detected events; andthe operational circuitry determining, from the application of the decision boundary, whether a supraventricular condition which should not receive therapy is occurring or a ventricular arrhythmia which should receive therapy is occurring.3. The method of wherein the implantable defibrillator is a subcutaneous-only device in which all of the electrodes are implanted subcutaneously in the patient claim 2 , such that the electrical signal is captured from electrodes implanted subcutaneously.4. The method of wherein the decision boundary is set such that claim 2 , at a given rate claim 2 , a width ...

ELECTROCARDIOGRAM DERIVED RESPIRATION SIGNAL FOR PARASYMPATHETIC AND SYMPATHETIC MONITORING DEVICES

The invention presents a method for deriving respiratory data from single lead ECG recordings for monitoring the autonomic nervous system, specifically the parasympathetic and sympathetic nervous systems independently and simultaneously. The ECG derived respiration for ANS monitoring devices generally includes a method for non-invasive monitoring of the respiratory activity for the assessment of the parasympathetic and sympathetic (P&S) branches of the autonomic nervous system. The EDR signal is used to analyze and assess the individual activities of, and interactions between the sympathetic and parasympathetic divisions of the ANS. The present invention applies a QRS peak detection algorithm to ECG signal. The peak amplitudes and respective time locations are then used to generate the respiration signal. The EDR provides an approximate but reliable estimate of the respiratory activity. The utility of the algorithm is tested for the P&S monitoring for the various tasks such as Normal Breathing (Baseline), Deep Breathing, Valsalva Maneuvers, and Standing, as well as for normal subjects, and ill and geriatric patients. 1. A method for non-invasive monitoring of the respiratory activity for the assessment of the parasympathetic and sympathetic branches of the autonomic nervous system comprising the concurrent steps of:a) deriving respiratory activity from the measured ECG signal; andb) using ECG derived respiration (EDR) with heart rate to analyze sympathetic and parasympathetic divisions of the ANS.2. A method set forth in step 1 , wherein step a) further comprising the steps of:a) detecting QRS complex from measured ECG;b) determining R-peak amplitude;c) interpolating peak amplitudes at the down-sampling rate of 4 Hz with respect to peak amplitude time locations; andd) obtaining EDR estimate after low pass filtering the interpolated signal.3. A method set forth in step 1 , wherein step b) further comprising the steps of:a) computing a first power spectrum from EDR ...

ECG ACQUISITION AND TREATMENT-RESPONSE SYSTEM FOR TREATING ABNORMAL CARDIAC FUNCTION

A method and system for detecting and treating abnormal cardiac function. The patient's cardiac activity is substantially continuously monitored via a portable wearable device having electrodes and a microcontroller. Features in the monitored cardiac activity indicative of abnormal cardiac function are automatically detected. In response to the detection of an abnormal detected cardiac function, at least one person is automatically alerted of the detected abnormal cardiac function of the patient, and medication may be automatically caused to be administered to the patient. The portable wearable device preferably includes a plurality of electrodes and a microcontroller in communication with the electrodes, adapted to receive sensed cardiac activity signals and create digital signals enabling identification of at least one cardiac parameter. A remote computer server is in communication with the portable wearable device and compares values of the identified cardiac parameter with a range of normal values for the cardiac parameter. 1. A method for detecting and treating abnormal cardiac function in a mammalian patient , comprising the steps of:substantially continuously monitoring a mammalian patient's cardiac activity via a portable wearable device having electrodes and a microcontroller in communication with the electrodes;automatically detecting features in the monitored cardiac activity indicative of abnormal cardiac function; andin response to an abnormal detected cardiac function in the detecting step, automatically alerting at least one person of the detected abnormal cardiac function of the patient.2. A method for detecting and treating abnormal cardiac function in a mammalian patient according to claim 1 , further comprising the step of claim 1 , upon detecting abnormal cardiac function claim 1 , requesting data from the patient concerning ordinary patient activity that corresponds to the detected abnormal cardiac function.3. A method for detecting and treating ...

BLOOD PRESSURE MEASURING DEVICE

In a blood pressure measuring device, a casing is held in both hands. A pair of electrocardiographic electrodes are respectively provided to allow contact with the hands holding the casing, and detect electrocardiographic signals through the hands. A pulse wave sensor is provided to allow contact with either of the hands holding the casing, and detects pulse wave signals through the hand. Based on these detected signals, a measuring section acquires measurement information including: a time difference between an electrocardiographic R wave and a pulse wave reference point; and a pulse wave amplitude. A calculating section calculates blood pressure using the measurement information. A display section displays the blood pressure. A measurement starting section enables the measuring section to start acquisition of the measurement information in a state in which contact is maintained between the hands holding the casing and the corresponding electrocardiographic electrodes and pulse wave sensor. 1. A blood pressure measuring device , comprising:a casing that is held in both hands of a user;a pair of electrocardiographic electrodes respectively provided such as to allow contact with the hands holding the casing and which detect electrocardiographic signals through the hands;a pulse wave sensor provided such as to allow contact with either of the hands holding the casing and which detects pulse wave signals through the hand;a measuring section that acquires measurement information including (i) a time difference between an electrocardiographic R wave based on the electrocardiographic signals and a pulse wave reference point based on the pulse wave signals, and (ii) a pulse wave amplitude based on the pulse wave signals;a calculating section that calculates blood pressure using the measurement information;a display section that displays the blood pressure; anda measurement starting section configured to enable the measuring section to start acquisition of the measurement ...

Apparatus and Method for Measuring Physiological Signal Quality

An apparatus and method for determining a signal quality of an input signal representing a repetitious phenomena derived from at least one sensor connected to a patient is provided. A detector receives the input signal and determines data representing the repetitious phenomena from the input signal for use in determining at least one patient parameter. A measurement processor is electrically coupled to the detector that determines a first signal quality value by identifying at least one feature of the repetitious phenomena data and compares the at least one feature of a first set of the determined repetitious phenomena data with a second set of the determined repetitious phenomena data to determine a feature variability value and using the feature variability value to determine a stability value representative of the quality of the input signal. 1. An apparatus for determining a signal quality of an input signal representing a repetitious phenomena derived from at least one sensor connected to a patient comprising:a detector that receives the input signal and determines data representing the repetitious phenomena from the input signal for use in determining at least one patient parameter;a measurement processor electrically coupled to the detector that determines a first signal quality value by identifying at least one feature of the repetitious phenomena data and compares the at least one feature of a first set of the determined repetitious phenomena data with the at least one feature of a second set of the determined repetitious phenomena data to determine a feature variability value and using the feature variability value to determine a stability value representative of the quality of the input signal.2. The apparatus as recited in claim 1 , whereinsaid measurement processor automatically compares the determined stability value with a threshold value to determine the quality of the input signal.3. The apparatus as recited in claim 2 , whereinsaid measurement ...

MOBILE CARDIAC HEALTH MONITORING

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

ANALYSIS OF ELECTROCARDIOGRAM SIGNALS

A method for graphical representation of a train of ECG complexes having an R wave and a T-P interval and having variable isoelectric baselines. The method involves aligning the complexes in terms of signal amplitude by obtaining a baseline, thereby to provide a graphical representation of said train of ECG complexes; and aligning said complexes temporally using corresponding predetermined points 1. A method for graphical representation of a train of ECG complexes , said ECG complexes comprising an R wave and a T-P interval and having variable isoelectric baselines , the method comprising:aligning said complexes in terms of signal amplitude by obtaining a baseline, thereby to provide a graphical representation of said train of ECG complexes; andaligning said complexes temporally using respective predetermined points.2. The method of claim 1 , wherein said obtaining a baseline comprises aligning respective T-P intervals.3. The method of claim 1 , wherein said respective predetermined points are R waves.4. The method of claim 1 , comprising obtaining said train from each one of a plurality of leads at different locations on a subject.5. The method of claim 4 , comprising selecting between said alignments.6. The method of claim 1 , comprising obtaining said train of ECG complexes using a sampling rate in excess of 1 KHz.7. The method of claim 1 , comprising obtaining said train of ECG complexes as at least a sixteen bit signal.8. The method of claim 1 , comprising carrying out said aligning of respective T-P intervals by use of polynomial cubic hermite splines.10. The method of claim 9 , wherein said superimposing comprises retaining shape information of said ECG representations such that said displaying said superimposed signals comprises displaying shape variation of said ECG signals. This application is a division of U.S. patent application Ser. No. 11/920,577 filed on Nov. 16, 2007, which is a National Phase of PCT Patent Application No. PCT/IL2006/000576 having ...

Multilead ecg template-derived residua for arrhythmia risk assessment

A method and system for predicting the onset of heart arrhythmias more accurately observes trends in abnormal or pathologic morphology of the electrocardiogram (ECG). A first set of ECG signals is monitored from a patient. A baseline measurement is generated from the monitored first set of ECG signals to contain nonpathologic ECG morphologies in each lead. A second set of ECG signals is monitored from the patient and the baseline measurement is subtracted from the second set of ECG signals on a beat-to-beat basis. Afterwards, a residuum signal is generated for each lead based on the subtraction. R-wave heterogeneity, T-wave heterogeneity, P-wave heterogeneity, or ST-segment heterogeneity or other indicators of arrhythmia risk or myocardial ischemia are quantified based on the generated residuum signals.

Method and system for determining qrs complexes in electrocardiogram signals

A system automatically detects peaks in signal by generating a zero-mean data sequence of the signal comprising a data sequence and filtering the zero-mean data sequence. The entropy of the filtered data sequence is determined and peaks are detected in the entropy data sequence.

HEART RATE DRIVEN UNSUPERVISED TECHNIQUES FOR CONTINUOUS MONITORING OF AROUSAL TREND OF USERS

Traditionally arousal classification has been broadly done in multiple classes but have been insufficient to provide information about how arousal level of user changes over time. Present disclosure propose a continuous and unsupervised approach of monitoring the arousal trend of individual from his/her heart rate by obtaining instantaneous HR for time windows from a resampled time series of RR intervals obtained from ECG signal. A measured average heart rate (a measured ) is computed from instantaneous HR specific to user for each time window thereby estimating apriori state based on a last instance of an aposteriori state initialized and observation of a state space model of Kalman Filter is determined for computing error and normalizing thereof which gets compared with a threshold for continuous monitoring of arousal trend of the user. The aposterior state is further updated using Kalman gain computed based on measurement noise determined for state space model. 1200. A processor implemented method () , comprising:{'o': {'@ostyle': 'single', 'HR'}, 'b': '202', 'obtaining instantaneous from a resampled time series of RR intervals of an ECG signal specific to user, wherein the instantaneous HR is obtained for a plurality of time windows from the resampled time series ();'}{'o': {'@ostyle': 'single', 'HR'}, 'b': '204', 'computing, for each time window of the plurality of time windows, a measured average heart rate (a measured ) from the instantaneous HR specific to the user ();'}{'o': [{'@ostyle': 'single', 'HR'}, {'@ostyle': 'single', 'HR'}, {'@ostyle': 'single', 'HR'}], 'b': '206', 'inputting, to a Kalman Filter, the measured average heart rate (the measured ) and an initial estimate of an ideal , wherein the Kalman Filter comprises a state space model that is designed based on baseline dynamics of an average heart rate () ();'} [{'o': {'@ostyle': 'single', 'HR'}, 'b': '208', 'estimating an apriori state based on a last instance of an aposteriori state being ...

IMPROVEMENTS IN HEART ACTIVITY MONITORING DURING PHYSICAL EXERCISE

A method, apparatus, and computer program monitor a user's heart activity during a physical exercise. A heart activity measurement signal representing the user's heart activity is acquired and a phase component of the heart activity measurement signal is monitored. On the basis of the monitoring of the phase component, one or more actions are carried out. 1. An apparatus comprising:at least one processor; andat least one memory including a computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to perform operations comprising:acquiring a heart activity measurement signal of a user during a physical exercise performed by the user, wherein the heart activity measurement signal characterizes electric activity of a heart measured by at least one electrode pair in contact with the user's skin;monitoring a phase of the heart activity measurement signal; anddetermining an action to perform on the basis of the phase of the heart activity measurement signal and performing said action.2. The apparatus of claim 1 , wherein the at least one memory and the computer program code are configured claim 1 , with the at least one processor claim 1 , to cause the apparatus to perform operations comprising determining a physiological parameter of the user from the phase of the heart activity measurement signal.3. The apparatus of claim 2 , wherein the at least one memory and the computer program code are configured claim 2 , with the at least one processor claim 2 , to cause the apparatus to performing operations comprising:determining a periodicity of the phase of the heart activity measurement signal; anddetermining a respiratory rate of the user from the periodicity of the phase of the heart activity measurement signal.4. The apparatus of claim 1 , wherein the at least one memory and the computer program code are configured claim 1 , with the at least one processor claim 1 , to cause ...

METHOD AND APPARATUS FOR VERIFYING DISCRIMINATING OF TACHYCARDIA EVENTS IN A MEDICAL DEVICE HAVING DUAL SENSING VECTORS

A method and medical device for detecting a cardiac event that includes sensing cardiac signals from a plurality of electrodes, sensing a plurality of beats in response to the sensed cardiac signals, identifying each beat of the plurality of beats as one of a normal beat and a not normal beat, determining at least one of whether a number of beats identified as a normal beat is greater than a normal beat threshold, whether an RR interval associated with the beats identified as being a normal beat is less than a threshold interval, and whether RR intervals associated with the beats identified as being normal beats are within an RR interval range, and identifying the cardiac event as being one of shockable and not shockable in response to the determining. 1. A method of detecting a cardiac event in a medical device , comprising:sensing cardiac signals from a plurality of electrodes;sensing a plurality of beats in response to the sensed cardiac signals;identifying each beat of the plurality of beats as one of a normal beat and a not normal beat;determining at least one of whether a number of beats identified as a normal beat is greater than a normal beat threshold, whether an RR interval associated with the beats identified as being a normal beat is less than a threshold interval, and whether RR intervals associated with the beats identified as being normal beats are within an RR interval range; andidentifying the cardiac event as being one of shockable and not shockable in response to the determining.2. The method of claim 1 , wherein the plurality of electrodes form a first sensing vector and a second sensing vector claim 1 , the method further comprising:performing a gross morphology analysis of a signal sensed along the first sensing vector during a predetermined sensing window and a signal sensed along the second sensing vector during the predetermined sensing window; andidentifying the cardiac event as being one of shockable and not shockable in response to the ...

METHOD AND APPARATUS FOR DYNAMIC ASSESSMENT AND PROGNOSIS OF THE RISKS OF DEVELOPING PATHOLOGICAL STATES

A method and apparatus for health risk assessment by means of measuring and evaluating the functional state of the mechanisms of physiological adaptation of human organism comprises recording analog signals of heartbeat intervals, filtering the analog signals of heartbeat intervals, converting the analog signals to digital signals of heartbeat intervals, transmitting the digital signals of heartbeat intervals to a central processing unit, detecting R-peaks from the digital signals of heartbeat intervals, measuring time intervals between two consecutive said R-peaks, calculating heartbeat variability parameters from said heartbeat intervals, calculating degree of tension (DT) of regulatory mechanisms and their functional reserve (FR) based on said heartbeat variability parameters, calculating plurality of functional states based on the DT and FR, and calculating posteriori probabilities based on plurality of functional states, wherein probabilities of health risk is determined based on values of DT, FR, at least one functional state and the posteriori probabilities. 2. The method of health risk assessment by means of measuring and evaluating the functional state of the mechanisms of physiological adaptation of human organism as in claim 1 , wherein said at least one heartbeat recording sensor is an electrocardiogram (ECG) sensor.3. The method of health risk assessment by means of measuring and evaluating the functional state of the mechanisms of physiological adaptation of human organism as in claim 1 , wherein said at least one heartbeat recording sensor is a photoplethysmograph (PPG) sensor.4. The method of health risk assessment by means of measuring and evaluating the functional state of the mechanisms of physiological adaptation of human organism as in claim 1 , wherein said recording of analog signals of heartbeat intervals with said heartbeat recording device is done for a period of 5 minutes.5. The method of health risk assessment by means of measuring and ...

Apparatus for the Assessment of the Level of Pain and Nociception During General Anesthesia Using Electroencephalogram, Plethysmographic Impedance Cardiography, Heart Rate Variability and the Concentration or Biophase of the Analgesics

Means and methods for measuring pain and adapted for calculating the level of nociception during general anesthesia or sedation from data including electroencephalogram (EEG), facial electromyogram (EMG), heart rate variability (HRV) by electrocardiogram (ECG) and plethysmography by impedance cardiography (ICG). In a preferred embodiment of this invention the parameters derived from the EEG, the HRV, the plethysmographic curve and the analgetics concentrations are either combined into one index on a scale from 0 to 100, where a high number is associated with high probability of response to noxious stimuli, while a decreasing index is associated with decreasing probability of response to noxious stimuli. Zero (0) indicates extremely low probability of response to noxious stimuli. In an alternative embodiment, only features from the EEG and ECG will be used or only features from EEG, ECG and ICG, to define the fmal index. 1. An apparatus equipped with means for estimating pain and nociception while awake , during general anesthesia or sedation from data including electroencephalogram (EEG) , facial electromyogram (EMG) , heart rate variability (HRV) by electrocardiogram (ECG) and plethysmography by impedance cardiography (ICG) , the apparatus comprising the following features:(a) means for obtaining a signal containing EEG and facial EMG, said mean adapted for recording from a subjects scalp with three electrodes positioned at middle forehead, left (right) forehead and the left (right) cheek;(b) means for obtaining a three leads ECG signal and adaptations for calculating the R-R interval and the HRV from said ECG signal;(c) means for obtaining an ICG signal with four electrodes positioned at the chest of the patient;(d) means for obtaining the plethysmographic from the ICG;(e) adaptation for calculating the Fast Fourier Transform (FFT) and the Choi-Williams distributions for about 1-60 seconds of the EEG signal;(f) adaptations for calculating the frequency spectrum in ...

IMPLANTABLE NEUROSTIMULATOR-IMPLEMENTED METHOD FOR MANAGING TECHYARRHYTHMIA THROUGH VAGUS NERVE STIMULATION

An implantable neurostimulator-implemented method for managing tachyarrhythmias through vagus nerve stimulation is provided. An implantable neurostimulator, including a pulse generator, is configured to deliver electrical therapeutic stimulation in a manner that results in creation and propagation (in both afferent and efferent directions) of action potentials within neuronal fibers of a patient's cervical vagus nerve. Operating modes of the pulse generator are stored. A maintenance dose of the electrical therapeutic stimulation is delivered to the vagus nerve via the pulse generator to restore cardiac autonomic balance through continuously-cycling, intermittent and periodic electrical pulses. A restorative dose of the electrical therapeutic stimulation is delivered to prevent initiation of or disrupt tachyarrhythmia through periodic electrical pulses delivered at higher intensity than the maintenance dose. The patient's normative physiology is monitored via a physiological sensor, and upon sensing a condition indicative of tachyarrhythmia, is switched to delivering the restorative dose to the vagus nerve. 1. An implantable neurostimulator for managing tachyarrhythmias through vagus nerve stimulation , comprising:a pulse generator configured to couple to an electrode assembly and to generate electrical stimulation;a processor configured to receive physiological data from a physiological sensor; and [ defining a maintenance dose of the electrical stimulation; and', 'defining a restorative dose of the electrical therapeutic stimulation comprising electrical pulses delivered at higher intensity than the maintenance dose;, 'store operating modes of the pulse generator in the memory, by, 'deliver the maintenance dose via the pulse generator to the electrode assembly, prior to delivering the restorative dose, prior to sensing a condition of tachyarrhythmia, and independent of cardiac cycle;', "monitor a patient's normative physiology to sense the condition of ...

VECTOR-CARDIO-GRAPHIC SIGNAL ANALYZER

The current subject matter relates to indicating extent and location of myocardial ischemia in a patient. Electrodes can be placed on a body of the patient. Signal amplifiers can receive orthogonal electrical signals from the electrodes via three bipolar leads. The signal amplifiers can amplify the signals and send the amplified signals to analog to digital converters. The analog to digital converters can convert the amplified signals to digital signals. A computing device can execute a data analysis application that can receive these digital signals, generate QRS complexes associated with these signals, generate depolarization vectors associated with these QRS complexes, and then determine changes in magnitudes and directions of these vectors. Based on the changes in magnitudes and directions, the data analysis application can determine and display extent and location of myocardial ischemia in the patient. Related apparatus, systems, methods, techniques and articles are also described. 1. A system comprising:an analog to digital converter to receive electrical signals recorded using a plurality of electrodes attached to a body of a patient, the analog to digital converter converting the electrical signals to digital signals; anda computing device to analyze the digital signals to generate an indication characterizing extent and location of myocardial ischemia in the body of the patient.2. The system of claim 1 , further comprising:one or more lead signal amplifiers to receive electrical signals recorded using the plurality of electrodes, the one or more lead signal amplifiers amplifying the electrical signals by filtering out high frequency components of the electrical signals by using one or more low pass filters, the one or more lead signal amplifiers sending the amplified digital signal to the analog to digital converter.3. The system of claim 2 , wherein:the one or more lead amplifiers obtain the electrical signals via a first bipolar lead, a second bipolar ...

Heart Beat Detection Based on Permissible Sequence Searching

A method for detecting heart beats within a cardiac signal is disclosed. A cardiac signal is acquired and segmented. Peak detection is performed within each segment. A search within the detected peaks is performed to locate physiologically permissible peak sequences. A particular peak sequence is selected based on feature space criteria or interpeak temporal regularity criteria or both. 1. A method for detecting heartbeats comprising the steps of:receiving a cardiac signal from a sensor;detecting a plurality of peaks within a segment of the cardiac signal;searching within the plurality of peaks for a set of physiologically permissible sequences that includes all physiologically permissible sequences within a subset of the plurality of peaks, wherein the subset of the plurality of peaks includes at least three peaks;assigning a score to each of a subset of the set of physiologically permissible sequences, wherein the score is based on a probability measure; andselecting a sequence with the highest score, thereby detecting a plurality of heart beats.2. The method of wherein the probability measure is based on the time between adjacent peaks in sequence.3. The method of wherein the probability measure is based on a priori RR interval statistics.4. The method of wherein the a priori RR interval statistics pertain to the change in RR intervals.5. The method of wherein the probability measure is based on a peak shape feature. This application claims priority to: U.S. Provisional Patent Application Ser. No. 61/840,692, filed on Jun. 28, 2013; U.S. Provisional Patent Application Ser. No. 61/884,018, filed on Sep. 28, 2013; U.S. Provisional Patent Application Ser. No. 61/897,347, filed on Oct. 30, 2013; and U.S. Provisional Patent Application Ser. No. 61/921,668, filed on Dec. 30, 2013.The invention pertains primarily to cardiac monitoring, and in particular heart rate estimation and atrial fibrillation detection.The continued evolution of wearable sensors and portable ...

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 ...

METHOD OF EKG SIGNAL PROCESSING AND APPARATUS FOR PERFORMING THE METHOD

A method of measuring and analyzing the ultra high frequency EKG is performed by measuring the EKG within the frequency range above 250 Hz with a dynamic range of at least 100 dB. In the UHF EKG signal positions of Rof R wave in QRS complex of EKG are detected on the time axis and the EKG signal is converted to amplitude or power envelopes, the amplitude or power envelopes frequency range is anywhere within the limits from 0.2 Hz to at least 500 Hz. From these envelopes the amplitude and time numerical parameters that describe the myocardium depolarization inhomogeneity and electric myocardium dyssynchrony are determined, and these parameters are used for selecting the patients for multi-chamber stimulators implementation and optimization of their setting. 1. A method of an EKG signal processing , whereina frequency range above the frequency of 250 Hz is selected on the EKG signal in measuring channels,from this component of the EKG signal in the selected frequency range amplitude or power envelopes of the EKG signal are calculated,{'sub': 'm', 'these amplitude or power envelopes of the EKG signal are averaged with respect to Rof R wave position to increase signal-to-noise ratio,'}after which the envelopes of the EKG signal from the individual channels obtained this way are compared on the time axis and the electric dyssynchrony of ventricles in units of time is defined as a difference between the time numerical parameters of envelopes of the selected EKG channels.2. The method of the EKG signal processing according to claim 1 , wherein{'sub': m', 'm, 'a median or mean value in the interval of minimum 100 ms after the Rposition up to 300 ms after the Rposition is subtracted from the averaged amplitude or power envelope of the EKG signal to remove a noise background,'}negative values of the envelopes are set to zero after subtracting the median or the mean value.3. The method of the EKG signal processing according to claim 1 , wherein the amplitude or power envelopes ...

SYSTEMS, APPARATUS 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 electrical activity data. 1. A computer-implemented method ,wherein the method determines the health of a fetus,wherein the method comprises: wherein the at least one pair of ECG sensors are positioned in on an abdomen of a woman carrying a fetus;', 'wherein the raw ECG signals data comprise data representative of a N number of raw ECG signals (raw N-ECG signals data) which are being acquired in real-time from the at least one pair of ECG sensors;, 'receiving, by at least one computer processor executing specific programmable instructions configured for the method, raw Electrocardiogram (ECG) signals data from at least one pair of ECG sensors;'}digital signal filtering, by the at least one computer processor, the raw N-ECG signals data to form filtered N-ECG signals data having filtered N-ECG signals;detecting, by the at least one computer processor, maternal heart peaks in each filtered ECG signal in the filtered N-ECG signals data; [ [ 1) wherein each ECG signal segment of the plurality of ECG signal segments corresponds to a beat interval of a full heartbeat, and', '2) wherein each beat interval is automatically determined based, at least in part on automatically detecting an onset value and an offset value of such beat interval;, 'i) automatically dividing each ECG signal of N-ECG signals of the filtered N-ECG signals data into a plurality of ECG signal segments,'}, iteratively performing:', '1) defining a global template based on a standard heartbeat profile of an adult human being,', '2) setting a set of tentative values for a local template for each filtered N-ECG signal segment,', '3) utilizing at least one optimization scheme to determine an adaptive template for each filtered N-ECG signal segment based on the local template being matched to the global template within a pre-determined similarity value; and, 'ii) ...

LOCATING J-POINTS IN ELECTROCARDIOGRAM SIGNALS

The current subject matter determines the location of the J-point in an ECG signal by examining ECG samples within a window of samples between the S-peak and the T-peak. The sample in this range with the smallest distance, Δd, to the R-peak is selected as the J-point. Thus, the J-point location can be determined based on an ECG sample's distance to the R-peak. The J-point location can then be used to determine whether there is elevation or depression of the ST segment. Related apparatus, systems, techniques, and articles are also described. 1. A method for implementation by one or more data processors forming part of at least one computing device , the method comprising:receiving electrocardiogram (ECG) data derived from an ECG electrode set affixed to a patient, the ECG data comprising a sequence of cardiac cycle waveforms that each correspond to a single cardiac cycle, each waveform comprising a series of samples;locating, for each cardiac cycle waveform, an R-peak, an S-peak, and a T-peak;identifying, for each cardiac cycle waveform, a sample within a window of samples between the S-peak and the T-peak that is closest in distance to the R-peak; andproviding, for each cardiac cycle waveform, data specifying a location of the identified sample as being a J-point for the corresponding cardiac cycle waveform.2. The method of claim 1 , further comprising:calculating, for each cardiac cycle waveform, a midpoint sample between the S-peak and the T-peak;wherein the window only includes samples between the S-peak and the midpoint sample.3. The method of claim 1 , further comprising:identifying, for each cardiac cycle waveform, beginning of a T wave corresponding to the T-peak; andmeasuring deviation of an ST segment starting at the J-point and terminating at the beginning of the T wave relative to a baseline, the ST segment corresponding to an interval between ventricular depolarization and repolarization of the patient.4. The method of claim 3 , wherein the baseline is a ...

METHOD, APPARATUS, AND ARTICLE FOR OPTIMIZED MYOCARDIAL T1 MAPPING

A method for mapping T1 in myocardium includes selecting a recovery delay from EKG signal data; imposing a saturation pulse on the myocardium; waiting the recovery delay; and acquiring bSSFP data after the recovery delay. 11. A method for mapping T in myocardium , comprising:selecting a recovery delay from EKG signal data;imposing a saturation pulse on the myocardium;waiting the recovery delay; andacquiring bSSFP data after the recovery delay.21. The method as claimed in claim 1 , further comprising fitting a T recovery curve to the bSSFP data.31. The method as claimed in claim 2 , comprising repetitions of the method sufficient to fit at least about 60% of the T recovery curve.4. The method as claimed in claim 1 , wherein the recovery delay is longer than an R-R interval obtained from the EKG signal data.5. The method as claimed in claim 1 , wherein the saturation pulse is imposed before an R-wave and the bSSFP data is acquired after the R-wave.6. The method as claimed in claim 1 , further comprising analyzing the EKG signal data to establish at least one of a heart rate or an expected R-wave timing.71. The method as claimed in claim 6 , further comprising analyzing the EKG signal data and other patient medical data to estimate an expected value for myocardial T.8. The method as claimed in claim 1 , wherein the recovery delay is chosen based on EKG signal data as well as at least one of desired cardiac phase for mapping claim 1 , field strength claim 1 , or pre-contrast/post-contrast scan protocol.9. The method as claimed in claim 8 , wherein the desired cardiac phase for mapping is the systolic phase.101. An MRI system configured for mapping of myocardial T in a patient claim 8 , comprising:a magnet assembly;a physiological acquisition controller configured for connection to the patient;an MRI controller coupled to the physiological acquisition controller for receiving data that includes EKG signal data, and coupled to the magnet assembly for implementing an MRI ...

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

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

METHOD AND APPARATUS FOR DETECTING ARRHYTHMIAS IN A SUBCUTANEOUS MEDICAL DEVICE

A method and system for use with an implantable medical device for subcutaneous implant within a patient to determine a likelihood of the patient experiencing a cardiac event that includes sensing a cardiac signal along a plurality of different sensing vectors, determining state information of each vector of the plurality of sensing vectors, determining a cross correlation of the determined state information of each vector of the plurality of sensing vectors, comparing the cross correlation of the determined state information of each vector of the plurality of sensing vectors to a threshold, and detecting the cardiac event in response to the comparing. 1. A method comprising:sensing, during each time period of a plurality of time periods, a first cardiac signal segment with a first sensing vector and a second cardiac signal segment with a second sensing vector;determining whether each of the first cardiac signal segments and the second cardiac signal segments is shockable or not shockable; anddetermining whether to deliver an anti-tachyarrhythmia shock to a patient based on a number of the first cardiac signal segments determined to be shockable and a number of the second cardiac signal segments determined to be shockable.2. The method of claim 1 , wherein determining whether each of the first cardiac signal segments and the second cardiac signal segments is shockable or not shockable comprises claim 1 , for each of the plurality of time periods claim 1 , one of:determining that both the first cardiac signal segment and the second cardiac signal segment are shockable;determining that both the first cardiac signal segment and the second cardiac signal segment are not shockable; ordetermining that only one of the first cardiac signal segment and the second cardiac signal segment is shockable, and the other of the first cardiac signal segment and the second cardiac signal segment sensing vector is not shockable.3. The method of claim 2 , further comprising determining ...

ELECTROCARDIOGRAM METHOD FOR LACTATE THRESHOLD DETECTION

Lactate threshold device (LTD) assists subjects in improving athletic performance and maximizing calorie burn. LTD digitizes the electrocardiogram (ECG) obtained from a chest belt with a first signal analyzer, and telemeters the ECG to a second signal analyzer. LTD uses a novel algorithm to convert the telemetered ECG from the time to frequency domain, utilizing a digital signal processing method called fast fourier transform based spectral analysis. LTD determines whether lactate threshold (LT) has been reached, and furthermore calculates heart rate, heart rate variability, and heart rate and power zones. LTD displays the determined variables on a local or remote display. Subject using LTD obtains feedback during a real-time exercise regimen in the field that has aerobic (below LT) and anaerobic (above LT) zones. By utilizing an exercise program with aerobic and anaerobic zones, both sprint and endurance fitness levels are improved, and weight loss potential is maximized. 1. A portable system for lactate threshold detection through an electrocardiogram chest belt comprising:at least two electrodes electrically coupled to the first signal analyzer, wherein this first signal analyzer gathers, conditions, and digitizes a raw electrocardiogram high fidelity signal from the electrodes;a telemetry unit electrically coupled to the first signal analyzer, wherein the telemetry unit wirelessly transmits signals obtained by this first signal analyzer from the electrodes and to the telemetry unit electrically coupled to the one or more processors of the second signal analyzer;the one or more processors electrically coupled to the second signal analyzer utilizes Fast Fourier Transform spectral analysis to transform the electrocardiogram signal from the time domain to the frequency domain;the second signal analyzer detects heart rate, heart rate variability, and furthermore utilizes a unique and novel algorithm to detect lactate threshold occurrence from the transformed ...

Methods and Systems for Mapping Cardiac Activity

Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram. 121-. (canceled)22. A method of mapping cardiac activity , comprising:receiving a plurality of electrogram signals S(t) at an electroanatomical mapping system; and compute a scalogram G(f, t);', 'compute an energy function L(t) of the scalogram G(f, t);', {'sup': 'Pulse', 'compute a pulse wave L(t) of the energy function L(t);'}, {'sup': 'Pulse', 'compute a metric of the electrogram signal S(t) using the pulse wave L(t); and'}], 'for each of the plurality of electrogram signals S(t), using the electroanatomical mapping system tooutputting a graphical representation of the metrics for the plurality of electrogram signals on a graphical representation of a cardiac model.23. The method according to claim 22 , wherein the pulse wave L(t) has a value of 1 if the energy function L(t) has a value greater than 0 claim 22 , and a value of 0 otherwise.24. The method according to claim 22 , wherein the metric comprises a QRS duration of the electrogram signal S(t) claim 22 , and wherein the electroanatomical mapping system defines the QRS duration of the electrogram signal S(t) to be equal to a pulse duration of the pulse wave L(t).25. The method according to claim 22 , wherein the metric comprises a near-field ...

METHOD TO ANALYZE CARDIAC RHYTHMS USING BEAT-TO-BEAT DISPLAY PLOTS

Provided are controllers, methods and systems for monitoring cardiac data for the presence of arrhythmia. A controller as provided comprises input means arranged to receive first cardiac data corresponding to a time period, processing means and output means. The processing means is arranged to identify, within the first cardiac data, a plurality of events corresponding to ventricular contraction, and a time associated with each event; determine a plurality of intervals between the times associated with chronologically successive events; and produce second cardiac data in dependence on the determined intervals. The output means is arranged to transmit an output signal to a display means based on the second cardiac data, for displaying a beat-to-beat display plot corresponding to at least a part of the time period on the display means. A system as provided may comprise such a controller and a display means for displaying the beat-to-beat display plot corresponding to at least a part of the time period. Also provided are methods of analysing and monitoring cardiac data for the presence of arrhythmia, and non-transitory, computer-readable storage media which store instructions thereon that when executed by one or more processors causes the one or more processors to carry out such a method. 2. (canceled)3. The controller according to claim 1 , wherein the input means is arranged to receive a request to alter the part of the time period to which the beat-to-beat display plot corresponds.4. (canceled)5. The controller according to claim 1 , wherein the first cardiac data comprises ECG data and wherein the processing means is arranged to identify a plurality of R-waves in the ECG data as events associated with ventricular contraction.6. The controller according to claim 1 , wherein the first cardiac data comprises ECG data and wherein the input means is arranged to receive a request to display the ECG data associated with a particular part of the time period.7. (canceled)8. ...

Electrocardiogram Device and Methods

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of multiple algorithms and intelligently combing the results of multiple algorithms to provide a single optimized diagnostic result. The algorithms are adaptive and may be customized for particular data sets or for particular patients. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

Electrocardiogram Device and Methods

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of multiple algorithms and intelligently combing the results of multiple algorithms to provide a single optimized diagnostic result. The algorithms are adaptive and may be customized for particular data sets or for particular patients. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

DROWSINESS DETECTING DEVICE, DROWSINESS DETECTING METHOD, AND PROGRAM RECORDING MEDIUM

A drowsiness detecting device includes a feature extractor, a detecting rule storage unit, a normalizer, and a drowsiness detector. The feature extractor extracts a feature value on heartbeats of a user based on intervals between the heartbeats. The detecting rule storage unit retains a detecting rule for drowsiness detecting. The normalizer updates a normalization coefficient. The drowsiness detector detects drowsiness of the user based on the feature value, the detecting rule, and the normalization coefficient. The normalizer updates the normalization coefficient based on the feature value when the drowsiness detector does not detect the drowsiness of the user. 1. A drowsiness detecting device comprising:a feature extractor configured to extract a feature on heartbeats of a user based on intervals between the heartbeats;a detecting rule storage unit configured to retain a detecting rule for drowsiness detecting;a normalizer configured to update a normalization coefficient; anda drowsiness detector configured to detect drowsiness of the user based on the feature, the detecting rule, and the normalization coefficient,wherein the normalizer updates the normalization coefficient based on the feature when the drowsiness detector does not detect the drowsiness of the user.2. The drowsiness detecting device according to claim 1 , whereinthe normalizer normalizes the feature with the normalization coefficient, andthe drowsiness detector detects the drowsiness of the user based on the detecting rule and the normalized feature.3. The drowsiness detecting device according to claim 1 , whereinthe normalizer normalizes a rule threshold of the detecting rule with the normalization coefficient, andthe drowsiness detector detects the drowsiness of the user based on the feature and the detecting rule including the normalized rule threshold.4. The drowsiness detecting device according to claim 1 , further comprising an R-R interval detector configured to receive an ...

HEART SOUNDS AND PLETHYSMOGRAPHY BLOOD PRESSURE MEASUREMENT

This document discusses, among other things, systems and methods to determine a blood pressure measurement of a subject, such as a systolic blood pressure of a subject, a diastolic blood pressure of the subject, or both, using received heart sound information and plethysmography information of the subject. The system can include a signal receiver circuit configured to receive the heart sound information and plethysmography information of the subject, and an assessment circuit configured to determine the systolic and diastolic blood pressure of the subject using the received heart sound information and the plethysmography information of the subject. 1. A system , comprising:a signal receiver circuit configured to receive heart sound information of a subject and plethysmography information of the subject; andan assessment circuit configured to determine a systolic blood pressure of the subject and to determine a diastolic blood pressure of the subject using the received heart sound information and the received plethysmography information.2. The system of claim 1 , wherein the signal receiver circuit is configured to receive second heart sound (S2) information of the subject claim 1 , and determine an indication of pulse pressure of the subject using the received plethysmography information;', 'determine an indication of blood pressure of the subject using the received S2 information; and', 'determine the systolic blood pressure of the subject and the diastolic blood pressure of the subject using the determined indication of pulse pressure of the subject and the determined indication of blood pressure of the subject., 'wherein the assessment circuit is configured to3. The system of claim 2 , wherein the assessment circuit is configured to:determine a mean blood pressure of the subject using the received S2 information; anddetermine the systolic blood pressure of the subject and the diastolic blood pressure of the subject using the determined indication of pulse ...

ATRIAL TRACKING CONFIRMATION IN AN INTRACARDIAC VENTRICULAR PACEMAKER

A pacemaker having a motion sensor delivers atrial-synchronized ventricular pacing by detecting events from a signal produced by the motion sensor and delivering ventricular pacing pulses at a rate that tracks the rate of the detected events. The pacemaker is configured to confirm atrial tracking of the ventricular pacing pulses by determining if detected events from the motion sensor signal are atrial events. The pacemaker is configured to adjust a control parameter used for detecting events from the motion sensor signal if atrial tracking is not confirmed. 1. An intracardiac pacemaker , comprising:a pulse generator configured to deliver pacing pulses to a ventricle of a patient's heart via electrodes coupled to the pacemaker;a motion sensor configured to generate a signal that indicates an atrial event attendant to atrial motion and at least one ventricular event attendant to ventricular motion during each cardiac cycle; and detect a first event from the motion sensor signal;', 'set an atrioventricular (AV) interval in response to detecting the first event;', 'controlling the pulse generator to deliver a first ventricular pacing pulse in response to the AV interval expiring;', 'withhold delivering a second ventricular pacing pulse for one cardiac cycle;', 'detect a second event from the motion sensor signal following the first event;', 'confirm that the first event is the atrial event in response to the second event occurring at least a threshold time interval since the first ventricular pacing pulse, and', 'deliver a therapy based on confirming that the first event is the atrial event., 'a control circuit coupled to the motion sensor and the pulse generator and configured to2. The intracardiac pacemaker of claim 1 , wherein the control circuit is configured to confirm the first event is an atrial event in response to the second event occurring at twice a ventricular rate interval from the first event.3. The intracardiac pacemaker of claim 1 , wherein the control ...

Systems and Methods for Generating and Applying Matrix Images to Monitor Cardiac Disease

Systems and methods are provided for monitoring progression of a cardiac disease in a patient by providing cardio-vibrational image matrixes and/or ECG image matrices generated using sensor data supplied by a medical device. In some examples, cardio-vibrational image matrices and/or ECG image matrices are output as image files. In some implementations, systems and methods are provided for using such cardio-vibrational image matrices and/or an ECG image matrices, and/or other clinical information, using machine learning classifiers, to assess cardiac risk in a patient. In some implementations, systems and methods are provided for using cardio-vibrational image matrixes and/or ECG image matrices, and/or other clinical information for real-time analysis of cardiac risk. 1. A method for monitoring a progression of a cardiac disease in a patient by providing cardio-vibrational image matrixes generated using sensor data supplied by a wearable cardiac monitoring device , the method comprising:accessing a plurality of cardio-vibrational signals obtained by at least one vibrational sensor monitoring a heart of the patient;generating, by processing circuitry from the plurality of cardio-vibrational signals, cardio-vibrational measurements of a predetermined duration, the cardio-vibrational measurements comprising at least a plurality of S1 peaks and a plurality of S2 peaks; and segmenting the cardio-vibrational measurements of the predetermined duration into a plurality of adjacent cardiac portions each having a duration smaller than the predetermined duration, and', on one axis, a time progression of the plurality of adjacent cardiac portions, and', 'on another axis, the pixel characteristic values of each portion of the plurality of adjacent cardiac portions, wherein the pixel characteristic values of each respective portion comprise values representing at least an S1 parameter value corresponding to a respective S1 peak of the plurality of S1 peaks, and an S2 parameter ...

FEATURE POINT IDENTIFICATION METHOD OF MECHANOCARDIOGRAPHY

A method to identify feature points associated with the heart valve movement, heart contraction or cardiac hemodynamics is revealed. The mechanocardiography (MCG) is a technology that makes use of vibrational waveforms acquired using at least one gravity sensor attached on one of the four heart valve auscultation sites on the body surface. The data of the electrocardiography (ECG) is recorded simultaneously with the MCG. The feature points are identified by comparing P, R and T points of synchronized ECG with the MCG spectrum. By the time sequences and amplitudes of the feature points, the method provides additional clinical information of cardiac cycle abnormalities for diagnosis. 1. A feature point identification method for mechanocardiography (MCG) applied to get a transmitral atrial contraction maximal flow feature point (MF) comprising the steps of:arranging a gravity sensor at an aortic area on a body surface corresponds to a heart valves to get a first MCG reading by the gravity sensor;placing an electrocardiography (ECG) sensing module on a limb lead attachment region on the body surface to get an ECG;retrieving a P-wave peak and an R-wave peak of the ECG corresponds the P-wave peak and the R-wave peak to the first MCG to get a first corresponding point and a second corresponding point; and{'sub': 'A', 'retrieving a peak with the maximum value between the first corresponding point and the second corresponding point; wherein the peak with the maximum value is the transmitral atrial contraction maximal flow feature point (MF).'}2. The method as claimed in claim 1 , wherein the aortic area is present from the left second intercostal space at the left sternal border claim 1 , over the sternum rightward claim 1 , to the right second to third intercostal space at the right sternal border.3. The method as claimed in claim 1 , wherein the limb lead attachment region includes one right arm (RA) claim 1 , one left arm (LA) claim 1 , and one left leg (LL).4. A feature ...

The New Method for Recognizing Point Quantification Standard Elevation or Depression Near the Equipotential Line of Each Heartbeat

An ECG system measures and annotates the P-point of an ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. A discontinuity point is identified as the P-point of the ECG waveform from the comparison. Similar measurements are made for the P′-point, I-point, J-point, and T′-point. Distances from these points to the equipotential line are calculated and used to detect blockages leading to myocardial infarction.

METHOD AND DEVICE FOR IDENTIFYING ARRHYTHMIA, AND COMPUTER READABLE MEDIUM

The present application discloses a method for identifying arrhythmia, a device for identifying arrhythmia, and a computer readable medium. The method includes: acquiring a type of arrhythmia to be identified; acquiring an ECG signal collected by an ECG acquisition device; detecting feature wave information in the ECG signal according to the type of arrhythmia to be identified; extracting a feature parameter from the denoised ECG signal and the feature wave information according to the type of arrhythmia to be identified; and identifying, by a classifier, an occurrence of the type of arrhythmia to be identified according to the feature parameter. 1. A method for identifying arrhythmia , comprising:acquiring a type of arrhythmia to be identified;acquiring an electrocardiogram (ECG) signal collected by an ECG acquisition device;detecting feature wave information in the ECG signal according to the type of arrhythmia to be identified;extracting a feature parameter from the ECG signal and the feature wave information according to the type of arrhythmia to be identified; andidentifying, by a classifier, an occurrence of the type of arrhythmia to be identified according to the feature parameter.2. The method for identifying arrhythmia according to claim 1 , wherein the classifier comprises one of: a neural network claim 1 , a random forest claim 1 , and a support vector machine.3. The method for identifying arrhythmia according to claim 1 , further comprising:after extracting the feature parameter from the ECG signal and the feature wave information according to the type of arrhythmia to be identified and before identifying, by the classifier, the occurrence of the type of arrhythmia to be identified according to the feature parameter, normalizing the feature parameter as extracted.4. The method for identifying arrhythmia according to claim 3 , wherein normalizing the feature parameter as extracted comprises performing: a linear proportional transformation method claim 3 , ...

METHOD AND SYSTEM TO DETECT R-WAVES IN CARDIAC ACTIVITY SIGNALS

A computer implemented method and system for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains far field cardiac activity (CA) signals and applies a direction related responsiveness (DRR) filter to the CA signals to produce DRR filtered signals. The method compares a current sample from the CA signals to a prior sample from the DRR filtered signals to identify a direction characteristic of the CA signals and defines the DRR filter based on a timing constant that is set based on the direction characteristic identified. The method analyzes the CA signals in connection with the DRR filtered signals to identify a peak characteristic of the CA signals and determines peak to peak intervals between successive peak characteristic. The method detects at least one of noise or an arrhythmia based on the peak to peak intervals and records results of the detecting. 1. A computer implemented method for detecting arrhythmias in cardiac activity , comprising:under control of one or more processors configured with specific executable instructions,obtaining far field cardiac activity (CA) signals;applying a direction related responsiveness (DRR) filter to the CA signals to produce DRR filtered signals;comparing a current sample from the CA signals to a prior sample from the DRR filtered signals to identify a first characteristic of the CA signals;defining the DRR filter based on the direction first characteristic identified;analyzing the CA signals in connection with the DRR filtered signals to identify a second characteristic of the CA signals;detecting at least one of noise or an arrhythmia based on the second characteristic; andrecording results of the detecting.2. The method of claim 1 , further comprising setting a parameter of the DRR filter to a first value when the first characteristic indicates an increasing trend in the CA signals and setting the ...

MEANS AND METHOD FOR THE DETECTION OF CARDIAC EVENTS

Disclosed is a system for the detection of cardiac events that includes an implanted device called a cardiosaver, a physician's programmer and an external alarm system. The system is designed to provide early detection of cardiac events such as acute myocardial infarction or exercise induced myocardial ischemia caused by an increased heart rate or exertion. The system can also alert the patient with a less urgent alarm if a heart arrhythmia is detected. Using different algorithms, the cardiosaver can detect a change in the patient's electrogram that is indicative of a cardiac event within five minutes after it occurs and then automatically warn the patient that the event is occurring. To provide this warning, the system includes an internal alarm sub-system (internal alarm means) within the cardiosaver and/or an external alarm system (external alarm means) which are activated after the ST segment of the electrogram exceeds a preset threshold. 1. A system for detecting cardiac events in a human patient , the system including:at least two electrodes for obtaining an electrical signal from the patient's heart;a processor configured to detect at least a first type of cardiac event and a second type of cardiac event by processing the electrical signal from the patient's heart; responsive to said first activation signal, emitting a first alarm signal having a first number of pulses within a first period of time defining an initial alarm on-period;', 'responsive to said second activation signal, emitting a second alarm signal having a second number of pulses within a second period of time defining said initial alarm on-period, said first number of pulses being different than said second number of pulses;', 'the initial alarm-on period being followed by a respective alarm off-period of time devoid of pulses, the patient alerting mechanism being further configured to only emit a reminder alarm signal responsive to the first type of cardiac event following the initial alarm ...

METHOD AND SYSTEM FOR COMPREHENSIVE EVALUATION OF ORGANIC COMPOUND AND HEAVY METAL POLLUTION IN WATER BASED ON FISH ELECTROCARDIO

Disclosed are a method and a system for comprehensive evaluation of organic compound and heavy metal pollution in water based on fish electro-cardio, and fish electro-cardio signals are acquired by a real-time and miniaturized fish electro-cardio acquisition system which includes a real-time and miniaturized fish electro-cardio acquisition device, then a change of the electro-cardio index in a QT interval is obtained for assessing the corresponding organic compound in water to be tested, and a change of the electro-cardio index in a QRS interval is obtained for assessing the corresponding heavy metal in water to be tested. Based on fish electro-cardio acquired continuously on-line in real-time while keeping fish swims in a normal state and the water quality parameters acquired by various water quality sensors, water quality is online analyzed and water sudden pollution is online monitored and assessed. 1. A real-time and miniaturized fish electro-cardio acquisition device , comprising a waterproof housing comprising a body and a waterproof cover sealedly connected to the body;wherein a miniature electro-cardio signal processing device, a storage device connected to the miniature electro-cardio signal processing device and a battery are fixedly arranged in the body; the miniature electro-cardio signal processing device is connected to an electrode through wires; a bottom of the waterproof housing is provided with an outlet for leading the electrode, wherein the electrode is inserted into a pericardial cavity of a fish to acquire original electro-cardio signals which are then transmitted to the miniature electro-cardio signal processing device for processing;a side of the waterproof housing is provided with a through hole for placing an infrared signal transmitting device; a transmitting end of the infrared signal transmitting device passes through the through hole from an inside of the body of the waterproof housing and is sealedly connected to the through hole; the ...

System and method of determining a risk score for triage

The present disclosure provides a system and method of determining a risk score for triage. In particular, a system is provided for providing an assessment of risk of a cardiac event for a patient, for example an incoming patient to a hospital emergency department complaining of chest pain. In the disclosure, the system includes an input device for measuring physiological data based vital signs parameter of the patient, a twelve-lead electrocardiogram (ECG) device for establishing an ECG obtained from results of the electrocardiography procedure, and determining an ECG parameter and a heart rate variability (HRV) parameter therefrom. An ensemble-based scoring system is further provided, establishing weighted classifier based on past patient data and where the vital signs parameter, the ECG parameter and the HRV parameter are compared to corresponding weighted classifiers to determine a risk score. A corresponding method to determine a risk score for triage is also provided.

MEASURING PSYCHOLOGICAL STRESS FROM CARDIOVASCULAR AND ACTIVITY SIGNALS

A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method. 1. A method for measuring psychological stress , the method comprising:determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN);determining a stress feature (SF) using the SDNN;in response to reaching a threshold, performing adaptation to update a probability mass function (PMF); anddetermining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress.2. The method of claim 1 , further comprising:determining a posture state, wherein the psychological stress is not measured if the posture state is active; anddisplaying the determined SL to a user or another device.3. The method of claim 2 , wherein the posture state includes any of active claim 2 , sitting claim 2 , and standing.4. The method of claim 1 , wherein determining R-R intervals from the ECG to calculate the SDNN further comprises:detecting R peaks from a measured ECG within a predetermined time period; andcalculating R-R intervals using the detected R peaks.5. The method of claim 4 , wherein determining a stress feature ...

IDENTIFYING AMBIGUOUS CARDIAC SIGNALS FOR ELECTROPHYSIOLOGIC MAPPING

A system and associated method for determining whether a signal is ambiguous, wherein the system includes a plurality of electrodes configured to be located proximate tissue of a patient. A display apparatus thereof includes a graphical user interface configured to present information to a user. A computing apparatus thereof is configured to determine maximums for beats of signals from the electrodes. 123-. (canceled)24. A system for use in monitoring cardiac signals comprising:an electrode apparatus comprising a plurality of electrodes configured to be located proximate tissue of a patient and provide a plurality of signals corresponding to a plurality of channels;a display apparatus comprising a graphical user interface, wherein the graphical user interface is configured to present information corresponding to one or more of the plurality of channels; calculate a square of a first derivative of the signal comprising a plurality of time indexed samples;', {'sub': '2', 'analyze the signal and select at least indexed samples where the square of the first derivative is greater than a ratio value (R) times the maximum of the square of the first derivative (M);'}, 'in response to all data of time indexed samples associated with the signal being analyzed, calculate a second derivative thereof;', 'determine local maximums of the signal using the second derivative;', 'determine an index difference between an index of a first local maximum of the local maximums and an index of a second local maximum of the local maximums and determine if the index difference is greater than a first preselected number or less than a second preselected number;', 'in response to the index difference being less than the first preselected number and greater than the second preselected number, determine a maximum for each of the beats; and', 'in response to the index difference being greater than the first preselected number or less than the second preselected number, modify the R resulting in a ...

IMPLANTABLE CARDIAC SYSTEM HAVING AN R-SPIKE AMPLIFIER

An implantable cardiac system that includes an implantable cardiac pacemaker or leadless pacemaker (iLP) and a second device such as a subcutaneous implantable cardioverter-defibrillator (S-ICD). The pacemaker includes an R-spike amplifier that amplifies stimulated ventricle excitations or R-waves to increase R-wave to T-wave signal to noise ratio and to improve indirect detection of ventricular rhythm classification by the S-ICD. The S-ICD includes an electrode line for defibrillation, a sensing unit and a stimulation detection unit. The S-ICD records a subcutaneous electrocardiogram between shock electrode poles and provides potentially life-saving therapy based thereon. The system significantly increases the specificity and sensitivity of an S-ICD in combination with an implanted cardiac pacemaker or iLP having an R-spike amplifier. 1. An implantable cardiac system having an R-spike amplifier comprising:an implantable cardiac pacemaker comprising:an electrode;an electrical signal processor coupled with the electrode, wherein the electrical signal processor is configured to detect a ventricle excitation that is either a sensed ventricular excitation or a stimulated ventricular excitation of a heart; andan R-spike amplifier coupled with the electrical signal processor, wherein the R-spike amplifier is configured to amplify the ventricle excitation to create an amplified R-wave or R-spike and output the amplified R-wave and increase an R-wave to T-wave signal to noise ratio associated with the heart.2. The system according to claim 1 , wherein the amplified R-wave is shorter in time duration than the ventricle excitation or longer in the time duration than the ventricle excitation.3. The system according to claim 1 , wherein the amplified R-wave that is output ends before an initial increase in a subsequent T-wave.4. The system according to claim 1 , wherein the implantable cardiac pacemaker is further configured to record a subcutaneous electrocardiogram (ECG) as a ...

INTERNET-BASED SYSTEM FOR EVALUATING ECG WAVEFORMS TO DETERMINE THE PRESENCE OF P-MITRALE AND P-PULMONALE

The present invention provides an improved, Internet-based system that seamlessly collects cardiovascular data from a patient before, during, and after a procedure for EP or an ID. During an EP procedure, the system collects information describing the patient's response to PES and the ablation process, ECG waveforms and their various features, HR and other vital signs, HR variability, cardiac arrhythmias, patient demographics, and patient outcomes. Once these data are collected, the system stores them on an Internet-accessible computer system that can deploy a collection of user-selected and custom-developed algorithms. Before and after the procedure, the system also integrates with body-worn and/or programmers that interrogate implanted devices to collect similar data while the patient is either ambulatory, or in a clinic associated with the hospital. A data-collection/storage module, featuring database interface, stores physiological and procedural information measured from the patient. 1. A system for determining the presence of p-mitrale and p-pulmonale in a patient's heart , comprising:a database comprising a set of data fields collected from a plurality of patients, with each data field in the set corresponding to an individual patient and including an ECG waveform and a parameter indicating the presence of p-mitrale and p-pulmonale in a patient's heart;an ECG-analysis algorithm configured to process the ECG waveform in each data field to extract a set of parameters, and correlate the set of parameters to the parameter indicating the presence of p-mitrale and p-pulmonale in a patient's heart;an averaging algorithm configured to processes multiple data fields, with each data field corresponding to an individual patient, the averaging algorithm further configured to determine an average correlation factor mapping the set parameters to the parameter indicating the presence of p-mitrale and p-pulmonale in a patient's heart;an ECG-measuring system configured to ...

BREATHING ANALYSIS METHOD, SYSTEM, AND APPARATUS

In a breathing analysis method using an electrocardiogram of a user, a breathing curve is generated according to R waves in the electrocardiogram, and whether the user is currently taking a breathing out action or a breathing in action is detected according to the breathing curve. A duration of the breathing in action or the breathing out action of the user is computed according to the breathing curve, and a ratio of the duration and a standard time of the breathing in action or the breathing out action is computed. A breathing in or out progress is displayed in a progress demonstration bar on the display device according to the ratio. 1. A breathing analysis method being executed by at least one processor of an electronic device , the method comprising:Receiving, at the electronic device, a current measured electrocardiogram of a user from an electrocardiograph, and generating a breathing curve according to R waves in the electrocardiogram;Detecting, at the electronic device, whether the user is currently taking a breathing out or a breathing in accordance with the breathing curve;Acquiring, at the electronic device, a duration of the breathing in action or the breathing out action in accordance with the breathing curve, and computing a ratio of the duration and a standard time of the breathing in action or the breathing out action; anddisplaying a breathing in or breathing out progress in a progress demonstration bar according to the ratio on a display device of the electronic device.2. The method according to claim 1 , wherein the breathing curve is generated according to values of the R waves.3. The method according to claim 1 , wherein the electronic device determines whether the user is breathing in or breathing out in accordance to slopes of the breathing curve.4. The method according to claim 3 , wherein the electronic device determines the user is breathing in when a slope in the breathing curve is a negative value claim 3 , the electronic device determines ...

MOOD ANALYSIS METHOD, SYSTEM, AND APPARATUS

In a mood analysis method using an electrocardiogram of a user, RR intervals in the electrocardiogram are computed, and low-frequency (LF) values and high-frequency (HF) values are also computed according to the RR intervals. Standard values of sympathetic nervous system (SNS) activity and parasympathetic nervous system (PSNS) activity are acquired corresponding to age and sex data of the user, to establish a mood display coordinate system. Coordinates of the LF values and the HF values in the mood display coordinate system are computed to determine a mood of the user. 1. A mood analysis method being executed by at least one processor of an electronic device , the method comprising:receiving a current measured electrocardiogram of a user from an electrocardiograph, and computing RR intervals in the electrocardiogram;computing low-frequency (LF) values and high-frequency (HF) values according to the RR intervals;receiving age and sex data of the user from a database, and determining standard values of sympathetic nervous system (SNS) activity and parasympathetic nervous system (PSNS) activity corresponding to the age and sex data of the user;establishing a mood display coordinate system using the standard values of the SNS activity and the PSNS activity;computing coordinates of the LF values and the HF values in the mood display coordinate system; anddetermining a current mood of the user according to the computed coordinates, and displaying the mood of the user on a display device of the electronic device.2. The method according to claim 1 , further comprising:storing standard values of the SNS activity and the PSNS activity of users corresponding to different age and sex data into the database which is installed in the electronic device or externally connected with the electronic device.3. The method according to claim 1 , wherein an origin of the mood display coordinate system is the standard values of the SNS activity and the PSNS activity corresponding to 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 ...

WIRELESS BIOLOGICAL SIGNAL COMMUNICATION TERMINAL, WIRELESS BIOLOGICAL SIGNAL COMMUNICATION SYSTEM, AND WIRELESS BIOLOGICAL SIGNAL MONITORING SYSTEM

A wireless biological signal communication terminal is provided with: a sensor unit which detects a biological signal; an A/D converting unit which performs A/D conversion of the biological signal in accordance with a set sampling frequency to obtain biological signal data; a recording unit which records a plurality of items of A/D converted biological signal data; a control unit which processes the plurality of items of biological signal data recorded by the recording unit in a prescribed period of time; a wireless module unit and an antenna which wirelessly transmit the result of the processing performed by the control unit to an external device; and a power supply unit which supplies power to drive the devices. 1. A wireless biological signal communication terminal comprising:biological signal detection means for detecting a biological signal;A/D conversion means for converting the biological signal from analog to digital according to a set sampling frequency to generate biological signal data;storage means for storing a plurality of pieces of the biological signal data converted from analog to digital according to the sampling frequency;processing means for processing, within a predetermined period, the plurality of pieces of biological signal data that are stored in the storage means;wireless transmission means for wirelessly transmitting results of processing by the processing means to an external device; andpower supply means for supplying power for driving the biological signal detection means, the A/D conversion means, the storage means, the processing means, and the wireless transmission means,the wireless transmission means being driven to wirelessly transmit results of the processing by the processing means to the external device when the biological signal data is processed by the processing means, andthe wireless transmission means not being driven and not wirelessly transmitting data to the external device when the plurality of pieces of biological ...

USER INTERFACE FOR ANALYSIS OF ELECTROCARDIOGRAMS

The present invention relates to a computer-implemented method for electrocardiogram analysis, the method comprising the steps of receiving at least one ECG signal; analyzing the ECG signal to provide features and/or identify at least one episode and/or event, wherein an episode is a segment of the ECG signal defined by a starting time, a duration and a label obtained during the analysis of the ECG signal and an event is a strip of the ECG signal of predefined duration defined by a starting time and a label obtained during the analysis of the ECG signal; and displaying a multiple field display () which includes at least a main plot (), being a global view of a graphic representation of the ECG signal in a first time window; a local view of a graphic representation of the ECG signal in a second time window (), where the first time window comprises the second time window; an intermediate view of a graphic representation of the ECG signal in a third time window (), wherein the third time window comprises the second time window and has a duration comprised between the duration of the first time window and the duration of the second time window 1. A computer-implemented method for electrocardiogram (ECG) analysis , the method comprising:receiving at least one ECG signal;analyzing the ECG signal to provide features and/or identify at least one episode and/or event, wherein an episode is a segment of the ECG signal defined by a starting time, a duration and a label obtained during the analysis of the ECG signal and an event is a strip of the ECG signal of predefined duration defined by a starting time and a label obtained during the analysis of the ECG signal; and (a) a main plot being a global view of a graphic representation of the ECG signal in a first time window;', '(b) a local view of the graphic representation of the ECG signal in a second time window, where the first time window comprises the second time window;', '(c) an intermediate view of the graphic ...

SYSTEM AND METHOD FOR GENERATING ECG REFERENCE DATA FOR MR IMAGING TRIGGERING

A method of generating ECG reference data for MR image data acquisition includes obtaining an initial ECG dataset from a patient prior to moving the patient into a bore of the MRI device, wherein the initial ECG dataset comprises at least two channels of ECG data. An initial set of R-peaks is identified and an initial R-peak polarity and initial R-R interval are determined. A reference ECG dataset is then obtained from the patient once the patient is in the bore of the MRI device. A reference set of R-peaks is identified in the reference ECG dataset based on the initial R-peak polarity and the initial R-R interval, and R-peak reference data is generated based on the reference set of R-peaks. Acquisition of MR image data from the subject is then triggered using the R-peak reference data. 1. A method of generating ECG reference data for magnetic resonance (MR) image data acquisition with a magnetic resonance imaging (MRI) device , the method comprising:obtaining an initial ECG dataset from a patient on a table of the MRI device prior to moving the patient into a bore of the MRI device, wherein the initial ECG dataset comprises at least two channels of ECG data;identifying an initial set of R-peaks in the initial ECG dataset and determining initial R-peak characteristics for at least one of the at least two channels of the initial ECG dataset;obtaining a reference ECG dataset from the patient once the patient is positioned in the bore, wherein the reference ECG dataset comprises the at least two channels of ECG data;identifying a reference set of R-peaks in the reference ECG dataset based on the initial R-peak characteristics;generating R-peak reference data based on the reference set of R-peaks; andtriggering acquisition of MR image data from the patient using the R-peak reference data.2. The method of claim 1 , further comprising:identifying a set of candidate peaks in each of the at least two channels of the initial ECG dataset;identifying the initial set of R-peaks ...

SYSTEMS AND METHODS FOR PREDICTING AND DETECTING A CARDIAC EVENT

Systems and methods for predicting and/or detecting cardiac events based on real-time biomedical signals are discussed herein. In various embodiments, a machine learning algorithm may be utilized to predict and/or detect one or more medical conditions based on obtained biomedical signals. For example, the systems and methods described herein may utilize ECG signals to predict and detect cardiac events. In various embodiments, patterns identified within a signal may be assigned letters (i.e., encoded as distributions of letters). Based on the known morphology of a signal, states within the signal may be identified based on the distribution of letters in the signal. When applied in the in-vehicle environment, drivers or passengers within the vehicle may be alerted when an individual within the vehicle is, or is about to, experience a cardiac event. 1. A system for predicting a cardiac event , the system comprising:one or more sensors configured to monitor a biomedical signal of an individual in real-time; receive a trained machine learning (ML) model that relates a first plurality of biomedical training signals to a cardiac event and a second plurality of biomedical training signals when the cardiac event does not occur;', 'receive the biomedical signal of the individual, wherein the biomedical signal is received by the one or more sensors, and wherein the individual is a driver or a passenger of a vehicle; and', 'determine a conditional probability of the cardiac event by applying the biomedical signal of the individual to the trained ML model., 'one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, configure the system to2. The system of claim 1 , further comprising:when the conditional probability associated with the cardiac event is the greatest among conditional probabilities of the trained ML model, perform an action identifying the individual will likely experience the cardiac ...

SYSTEMS AND METHODS FOR CARDIAC TRIGGERING OF AN IMAGING SYSTEM

Methods and systems are provided for cardiac triggering of an imaging system. a method for an imaging system comprises acquiring, during a scan of a subject, an electrical signal indicating a periodic physiological motion of an organ of the subject, inputting a sample of the electrical signal into a trained neural network to detect whether a peak is present in the sample, triggering acquisition of image data responsive to detecting the peak in the sample, and not triggering the acquisition of image data responsive to not detecting the peak in the sample. In this way, the timing of data acquisition may be optimally and robustly synchronized with a cardiac cycle. 1. A method for an imaging system , comprising:acquiring, during a scan of a subject, an electrical signal indicating a periodic physiological motion of an organ of the subject;inputting a sample of the electrical signal into a trained neural network to detect whether a peak is present in the sample;triggering acquisition of image data responsive to detecting the peak in the sample; andnot triggering the acquisition of image data responsive to not detecting the peak in the sample.2. The method of claim 1 , further comprising pre-processing the electrical signal to generate the sample of the electrical signal claim 1 , wherein pre-processing the electrical signal comprises acquiring a plurality of discrete measurements of the electrical signal over time for a given duration to generate the sample.3. The method of claim 2 , wherein pre-processing the electrical signal further comprises converting the electrical signal from digital values to millivolts.4. The method of claim 2 , wherein the plurality of discrete measurements of the electrical signal over time for the given duration comprises a raw sample claim 2 , and wherein pre-processing the electrical signal further comprises applying one or more passband filters to the raw sample to generate one or more filtered samples claim 2 , wherein the sample ...

SYSTEM AND METHOD FOR FACILITATING A CARDIAC RHYTHM DISORDER DIAGNOSIS WITH THE AID OF A DIGITAL COMPUTER

A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A download station retrieves cutaneous action potentials of a patient by an ECG monitoring and recording device as ECG data. An R-R interval plot of the ECG data includes R-R intervals plotted along an x-axis of the plot and heart rates associated with the R-R intervals plotted along a y-axis of the plot. The R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks and each heart rate is associated with each time difference. Runs of the R-R intervals in the plot are identified and each run represents a cardiac event. Cardiac rhythm measurements are automatically calculated and occurrences of different types of the cardiac events are tracked. One or more of the cardiac events and the cardiac rhythm measurements are reported. 1. A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer , comprising:an electrocardiogram (ECG) monitoring and recording device;a download station adapted to retrieve cutaneous action potentials of a patient recorded over a set period of time by the ECG monitoring and recording device as ECG data; and accesses an R-R interval plot of the ECG data comprising R-R intervals plotted along an x-axis of the plot and heart rates associated with the R-R intervals plotted along a y-axis of the plot, wherein the R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks and each heart rate is associated with each time difference;', 'identifies a plurality of runs of the R-R intervals in the plot, each run comprising start and end markers and a pattern of the R-R intervals representing a cardiac event;', 'automatically calculates cardiac rhythm measurements based on predetermined time windows defined within each run;', 'tracks occurrences of different types of cardiac events by increasing a count of occurrences ...

VITAL SIGNS INFORMATION MEASURING APPARATUS AND VITAL SIGNS INFORMATION MEASURING METHOD

A vital signs information measuring apparatus includes a calculating section which calculates a baroreflex index, a sympathetic nerve index, a heart rate, an estimated cardiac output, and an alternative index of blood pressure by using at least one of an electrocardiographic signal of a living body, and a pulse wave of the living body and a displaying section that displays changes of the baroreflex index, sympathetic nerve index, heart rate, estimated cardiac output, and alternative index of blood pressure that are calculated by the calculating section. 1. A vital signs information measuring apparatus comprising:a calculating section which calculates a baroreflex index, a sympathetic nerve index, a heart rate, an estimated cardiac output, and an alternative index of blood pressure by using at least one of an electrocardiographic signal of a living body, and a pulse wave of the living body; anda displaying section that displays changes of the baroreflex index, sympathetic nerve index, heart rate, estimated cardiac output, and the alternative index that are calculated by the calculating section.2. The vital signs information measuring apparatus according to claim I , wherein the calculating section includes:a baroreflex index calculating section that calculates a baroreflex index by using the electrocardiographic signal and the pulse wave;a sympathetic nerve index calculating section that calculates a sympathetic nerve index by using the electrocardiographic signal;a heart rate calculating section that calculates a heart rate by using the electrocardiographic signal;an estimated-cardiac output calculating section that calculates an estimated cardiac output by using the electrocardiographic signal and the pulse wave; anda blood pressure alternative index calculating section that calculates an alternative index of blood pressure by using the electrocardiographic signal and the pulse wave.3. The vital signs information measuring apparatus according to further comprising ...

LIVING BODY STATE ESTIMATION APPARATUS, LIVING BODY STATE ESTIMATING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

A living body state estimation apparatus acquires information indicating a state of a living body. The living body state estimation apparatus is configured to include an electrocardiogram signal acquisition unit which acquires an electrocardiogram signal of the living body and an information acquisition unit which acquires a parameter as the information, the parameter specifying a predetermined function indicating a probability distribution for a reference wave interval which is a time interval between peaks of consecutive predetermined reference waves in the acquired electrocardiogram signal. 1. A living body state estimation apparatus which acquires information indicating a state of a living body , the living body state estimation apparatus comprising:an electrocardiogram signal acquisition unit which acquires an electrocardiogram signal of the living body; andan information acquisition unit which acquires a parameter as the information, the parameter specifying a predetermined function indicating a probability distribution for a reference wave interval which is a time interval between peaks of consecutive predetermined reference waves in the acquired electrocardiogram signal.2. The living body estimation apparatus according to claim 1 ,wherein the function is a function representing a generalized extreme value distribution, andwherein the parameter is a shape parameter of the generalized extreme value distribution.3. The living body state estimation apparatus according to claim 2 , further comprising a living body state determination unit which determines that the state of the living body is abnormal in the case where the acquired shape parameter has a positive value.4. The living body state estimation apparatus according to claim 1 ,wherein the living body is a fetus in a maternal body, andwherein the electrocardiogram signal acquisition unit comprises:a rotation angle estimation unit which estimates a rotation angle of the fetus with respect to the maternal ...

METHOD AND APPARATUS FOR ATRIAL ARRHYTHMIA EPISODE DETECTION

Techniques and devices for implementing the techniques for adjusting atrial arrhythmia detection based on analysis of one or more P-wave sensing windows associated with one or more R-waves. An implantable medical device may determine signal characteristics of the cardiac signal within the P-wave sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold. 1. An implantable medical device for determining an atrial arrhythmia event within a cardiac signal , comprising:a plurality of electrodes configured to sense the cardiac signal; anda processor configured to identify one or more R-waves within the sensed cardiac signal, determine an atrial arrhythmia score for identifying the arrhythmia event based at least on the one or more R-waves, determine a sensing window associated with the one or more R-waves and having a first portion and a second portion, determine signal characteristics of the cardiac signal within the sensing window, determine whether the cardiac signal within the sensing window corresponds to a P-wave based on the determined signal characteristics, determine a signal to noise ratio of the cardiac signal within the sensing window, update the arrhythmia score when the P-wave is identified in the sensing window and the determined signal to noise ratio satisfies a signal to noise threshold.2. The medical device of claim 1 , wherein the processor is further configured to determine whether to delivery an arrhythmia therapy based on the updated arrhythmia score.3. The medical device of claim 1 , wherein the processor is further configured to determine a second derivative signal of the cardiac signal within the sensing window claim 1 ...

HEALTH MONITORING SYSTEMS AND METHODS

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring. 1. A device for monitoring a physiological parameter , the device being configured to be adhered to the skin of a subject for the physiological parameter monitoring; the device comprising:a substrate;a conductive sensor connected to the substrate, and at least one conductive adhesive portion, and', 'at least one non-conductive adhesive portion;, 'a double-sided composite adhesive havingthe double-sided composite adhesive being attached to the substrate and the conductive sensor;the at least one conductive adhesive portion being disposed in conductive communicative contact with the conductive sensor, andbeing configured to be conductively adhered to the skin of the subject for conductive signal communication from the subject to the conductive sensor.2. A device according to wherein the conductive adhesive portion of the composite adhesive is connected to a respective sensor and configured to be substantially securely connected to the skin to maintain the respective sensor substantially fixed relative to the skin and thereby one or both reduces or eliminates possible sensor movement relative to the skin.3. A device according to wherein the connection of the conductive adhesive portion to the respective sensor and to the skin is configured to substantially remove movement of the sensor relative to the skin to one or both reduce noise or provide a clean signal.4. A device according to wherein the physiological parameter includes one or more signals for one or more or all of electrocardiography claim 1 , photoplethysmography claim 1 , pulse oximetry claim 1 , temperature claim 1 , or subject acceleration.5. A device according to wherein the conductive sensor is an electrode for electrocardiography.6. A device according to wherein the electrode is a proxy ...

SYSTEMS AND METHODS FOR IMPROVING HEART-RATE VARIABILITY

The present invention discloses neuro-stimulation systems and methods for affecting cardiovascular function, particularly for improving heart rate variability and treating arrhythmia. 2. (canceled)3. (canceled)4. (canceled)5. (canceled)6. The system of claim 1 , wherein the heart activity signal is an ECG signal.7. (canceled)8. (canceled)9. The system of wherein said pulses have a pulse width smaller than 1 millisecond and a maximum voltage intensity smaller than 60 volts.10. The system of wherein said pulses are biphasic pulses.11. The system of wherein each pulse is delayed relative to a preceding R peak by a time delay between about 100 milliseconds and about 500 milliseconds.12. (canceled)13. (canceled)14. (canceled)15. (canceled)16. (canceled)17. (canceled)18. (canceled)19. The system of claim 1 , wherein said at least two electrodes are embedded on patches claim 1 , the patches being configured to be removably attachable onto the skin claim 1 , andwherein said patches further accommodate a sensor functionally associated with said control module and configured to measure at least one physiological parameter of the subject, andwherein said sensor is selected from the group consisting of an IR sensor for measuring heart-rate, an accelerometer for measuring heart-rate, an impedance meter for measuring skin electrical resistance, a surface EMG sensor for measuring muscle activity and degree of contraction, a blood-pressure sensor, and a thermometer for measuring skin temperature.20. (canceled)21. The system of wherein said control module is configured to vary a maximum intensity of stimulation signals according to a physiological parameter measured by said sensor.22. (canceled)23. (canceled)24. (canceled)25. (canceled)26. (canceled)27. (canceled)28. (canceled)29. A method for at least one of (a) affecting a heart-rate variability (HRV) of a subject and (b) treating arrhythmia of a subject claim 19 , the method comprising: delivering electrical neuro-stimulation to ...

CARDIAC ELECTRICAL SIGNAL MORPHOLOGY AND PATTERN-BASED T-WAVE OVERSENSING REJECTION

A medical device, such as an extra-cardiovascular implantable cardioverter defibrillator (ICD), senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal acquired by a second sensing channel in response to each sensed R-wave. The ICD determines morphology match scores from the stored time segments of the second cardiac electrical signal and, based on the morphology match scores, withholds detection of a tachyarrhythmia episode. In some examples, the ICD detects T-wave oversensing based on the morphology match scores and withholds detection of a tachyarrhythmia episode in response to detecting the T-wave oversensing. 1. A system including a medical device comprising: a first sensing channel configured to receive a first cardiac electrical signal via a first sensing electrode vector coupled to the medical device and to sense a plurality of R-waves in response to crossings of a first amplitude threshold by the first cardiac electrical signal, and', 'a second sensing channel configured to receive a second cardiac electrical signal via a second sensing electrode vector coupled to the medical device and different than the first sensing electrode vector;, 'a sensing circuit comprisinga memory; and store a time segment of the second cardiac electrical signal in the memory in response to each one of the plurality of R-waves sensed by the first sensing channel;', 'determine a morphology match score for each of a plurality of the time segments of the second cardiac electrical signal; and', 'withhold detection of a tachyarrhythmia episode based at least on the morphology match scores., 'a control circuit coupled to the sensing circuit and the memory and configured to2. The system of claim 1 , wherein the control circuit is further configured to:detect T-wave oversensing in the plurality of R-waves based on the morphology match scores; andwithhold detection of the tachyarrhythmia episode in ...

HEALTH MONITORING SYSTEMS AND METHODS

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring. 1. A method of measuring oxygen saturation in an individual , the method comprising the steps of:measuring an electrocardiogram signal over multiple heart beats;measuring one or more pulse oximetry signals over multiple heart beats such that the electrocardiogram signal and the one or more pulse oximetry signals are in time concordance over one or more heart beats;comparing a portion of the electrocardiogram signal and the one or more pulse oximetry signals in time concordance over one or more heart beats to determine a constant component and a primary periodic component of each of the one or more pulse oximetry signals; anddetermining oxygen saturation from the constant components and primary periodic components of the one or more pulse oximetry signals.2. The method of wherein said pulse oximetry signals include a reflective infrared signal and a reflective red light signal.3. The method of wherein said step of comparing includes defining intervals of said pulse oximetry signal based on characteristics of said electrocardiogram signal and averaging values of said pulse oximetry signal over a plurality of such intervals.4. The method of wherein said constant components and said primary periodic components of said pulse oximetry signals are determined from said average values.5. The method of wherein said electrocardiogram signal includes an R wave signal each with a peak value in each of said heart beats and said intervals are determined with respect to the peak values of the R wave signals.6. The method of wherein said electrocardiogram signal and said pulse oximetry signal are measured from a chest location on said individual.7. A device for monitoring a physiological parameter claim 1 , the device being adapted to be adhered to the skin of a ...

CARDIAC CYCLE SELECTION

Systems and methods are described herein for selection of a cardiac cycle, or heartbeat, from a plurality of cardiac cycles monitored over time. The cardiac cycle may be selected using various metrics including a single-cycle metric and a cycle-series metric. Further, the selected cardiac cycle may be used for further cardiac analysis (for example, to generate electrical activation times). 1. A system for use in cardiac evaluation comprising:electrode apparatus comprising a plurality of external electrodes to be located proximate tissue of a patient; and monitoring electrical activity using the plurality of electrodes to provide a plurality of electrical signals over a plurality of cardiac cycles,', 'generate at least one metric for each cardiac cycle based on a single-cycle submetric and a cycle-series submetric, wherein the single-cycle submetric is based on at least two of the plurality of electrical signals during the cardiac cycle and the cycle-series submetric is based on at least two of the plurality of electrical signals during at least two cardiac cycles, and', 'select a cardiac cycle of the plurality of cardiac cycles based on the at least one metric., 'computing apparatus comprising one or more processors, the computing apparatus coupled to the electrode apparatus and configured to2. The system of claim 1 , wherein the single-cycle submetric is a value generated from at least two of the plurality of electrical signals at a peak time during the cardiac cycle and the cycle-series submetric is a value generated from at least two electrical signals of the plurality of electrical signals at peak times during the at least two cardiac cycles.3. The system of claim 1 , wherein the at least one metric for each cardiac cycle comprises a maximum amplitude metric claim 1 , wherein the single-cycle submetric is a maximum value across at least two of the plurality electrical signals at a peak time during cardiac cycle claim 1 , wherein the cycle-series submetric is a ...

WEARABLE CARDIOVERTER DEFIBRILLATOR (WCD) SYSTEM REACTING TO HIGH-FREQUENCY ECG NOISE

In embodiments a wearable cardioverter defibrillator (WCD) system is worn by an ambulatory patient. The WCD system analyzes an ECG signal of the patient, to determine whether or not the patient should be given an electric shock to restart their heart. If the WCD system determines that such a shock should be given, then it also determines whether or not a High Frequency (H-F) noise criterion is met by the ECG signal. If that H-F noise criterion is not met, the patient can be shocked. If, however, that H-F noise criterion is met, then the WCD system can confirm before shocking, by sensing another portion of the ECG signal, analyzing again, and so on. Thanks to the confirmation before shocking, the possibility is diminished that the ECG signal will indicate that a shock is needed falsely, due to H-F noise. This can further reduce false patient alarms, and so on. 1. A wearable cardioverter defibrillator (WCD) system , comprising:a support structure configured to be worn by an ambulatory patient;an energy storage module configured to store an electrical charge;a discharge circuit coupled to the energy storage module;electrodes configured to sense an Electrocardiogram (ECG) signal of the patient; and determine, from a first portion of the sensed ECG signal, whether or not a first shock criterion is met,', 'determine whether or not the first portion of the sensed ECG signal meets a High-Frequency (H-F) noise criterion, and', 'responsive to the first shock criterion being met and the H-F noise criterion not being met, control the discharge circuit to discharge the stored electrical charge through the patient while the support structure is worn by the patient so as to deliver a shock to the patient, else', 'responsive to the first shock criterion being met and the H-F noise criterion being met, determine, from a second portion of the sensed ECG signal, whether or not a second shock criterion is met, the second portion sensed subsequently to the first portion and, responsive ...

SYSTEM AND METHOD FOR COMPOSITE DISPLAY OF SUBCUTANEOUS CARDIAC MONITORING DATA

A system and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data with the aid of a digital computer are provided. Cutaneous action potentials of a patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks and the associated heart rates in the R-R interval plot. 1. A system for composite display of subcutaneous cardiac monitoring data , comprising: an implantable housing for implantation within a living body;', 'at least one pair of electrocardiographic (ECG) sensing electrodes provided on opposite ends of the implantable housing operatively placed to facilitate sensing in closest proximity to low amplitude, low frequency content cardiac action potentials that are generated during atrial activation; and', 'electronic circuitry provided within the housing assembly comprising a low power microcontroller operable to execute under modular micro program control as specified in firmware, an ECG front end circuit interfaced to the microcontroller and configured to capture the cardiac action potentials sensed by the pair of ECG sensing electrodes which are output as ECG signals, and a non-volatile memory electrically interfaced with the microcontroller and operable to continuously store samples of the ECG signals as ECG data; and, 'a subcutaneous insertable cardiac monitor, comprising receive the ECG data recorded by the subcutaneous insertable cardiac monitor; identify a plurality of R-wave peaks in ...

Methods, Systems and Computer Program Products for Calculating MetaKG Signals for Regions Having Multiple Sets of Optical Characteristics

Methods for calculating a MetaKG signal are provided. The method including illuminating a region of interest in a sample with a near-infrared (NIR) light source and/or a visible light source. The region of interest includes a sample portion and background portion, each having a different set of optical characteristics. Images of the region of interest are acquired and processed to obtain metadata associated with the acquired images. MetaKG signals are calculated for the region of interest and for the background. The MetaKG signal for the background is used to adjust the MetaKG signal for the region of interest to provide a final adjusted MetaKG signal for the region of interest. 2. The method of claim 1 , wherein the first wavelength is a wavelength in a near-infrared range and the second wavelength is a wavelength in a visible range.3. The method of : calculating a background MetaKG signal for both near-infrared (NIR) and visible wavelengths to provide a background MetaKG signal NIR and a background MetaKG signal visible;', 'adjusting the background MetaKG signal NIR using the background MetaKG signal visible if necessary;, 'wherein calculating the background MetaKG signal further comprises calculating a MetaKG signal for the region of interest for visible wavelengths to provide a MetaKG signal visible for the region of interest;', 'observing the calculated the MetaKG signal visible for the region of interest for any motion artifact present therein;', 'selecting a window of frames for NIR analysis for the region of interest;', 'calculating a MetaKG signal for the region of interest for NIR wavelengths to provide a MetaKG signal NIR for the region of interest using the selected window; and', 'normalizing the MetaKG signal visible for the region of interest using the background MetaKG signal visible to provide the final adjusted MetaKG signal for the region of interest., 'wherein calculating the MetaKG signal for the region of interest comprises4. The method of claim ...

Anaerobic Threshold Estimation Method and Device

A method includes a first acquisition step of acquiring exercise intensity of exercise done by a target person, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating an AT of the target person based on a relationship between the predetermined feature amount and the acquired exercise intensity. The estimation step includes a step of estimating the AT of the target person based on exercise intensity corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired exercise intensity. 19.-. (canceled)10. An anaerobic threshold estimation method comprising:acquiring exercise intensity of exercise done by a target person;acquiring an electrocardiographic waveform of the target person;acquiring a predetermined feature amount from the electrocardiographic waveform; andestimating an anaerobic threshold of the target person based on a relationship between the predetermined feature amount and the exercise intensity, wherein estimating the anaerobic threshold comprises estimating the anaerobic threshold of the target person based on exercise intensity corresponding to an inflection point in a change of the predetermined feature amount with respect to the exercise intensity.11. The anaerobic threshold estimation method according to claim 10 , wherein the predetermined feature amount is a height of a T wave included in the electrocardiographic waveform multiplied by a heart rate.12. The anaerobic threshold estimation method according to claim 10 , wherein the predetermined feature amount is a height of a T wave included in the electrocardiographic waveform.13. The anaerobic threshold estimation method according to claim 12 , wherein acquiring the predetermined feature amount comprises:acquiring an RS height from a peak ...

FLUID STATUS DETECTION FROM A CARDIAC ELECTRICAL SIGNAL AND IMPEDANCE SIGNAL

A medical device is configured to generate fluid status signal data of a patient by determining impedance metrics from an impedance signal, determining cardiac electrical signal amplitudes from a cardiac electrical signal and determining a calibration relationship between the impedance metrics and cardiac electrical signal amplitudes. The medical device generates a fluid status signal data by adjusting cardiac electrical signal amplitudes according to the determined calibration relationship. The fluid status signal data may be displayed or monitored for detecting a change in the patient's fluid status. 1. A medical device , comprising:a sensing circuit configured to receive a cardiac electrical signal via electrodes coupled to the medical device;an impedance sensing circuit configured to apply a drive signal to electrodes coupled to the medical device and sense a resultant impedance signal;a telemetry circuit configured to transmit fluid status data to another medical device; and determine a plurality of impedance metrics from the impedance signal;', 'determine a first plurality of amplitudes from the cardiac electrical signal;', 'determine a first calibration relationship between the plurality of impedance metrics and the first plurality of amplitudes;', 'determine a second plurality of amplitudes from the cardiac electrical signal; and', 'generate fluid status signal data by adjusting the second plurality of amplitudes according to the determined first calibration relationship., 'a control circuit coupled to the sensing circuit, the impedance sensing circuit and the telemetry circuit, the control circuit configured to2. The device of claim 1 , further comprising a power source coupled to the control circuit and the impedance sensing circuit for generating the drive signal claim 1 , wherein the power source life is conserved by using the first calibration relationship compared to implantable medical devices that solely use the impedance signal to acquire fluid ...

Exercise Intensity Estimation Method, Exercise Intensity Estimation Device, and Program

An exercise intensity estimation apparatus includes an RS wave calculation unit configured to calculate an RS amplitude from a peak value of an R wave to a peak value of an S wave in an ECG waveform of a target person, a T wave calculation unit configured to calculate an amplitude of a T wave of the ECG waveform, a heart rate calculation unit configured to calculate a heart rate from the ECG waveform, an index calculation unit configured to calculate, as a first index indicating exercise intensity of the target person, the amplitude of the T wave normalized by the RS amplitude, and an index calculation unit configured to calculate, as a second index indicating the exercise intensity of the target person, a value obtained by multiplying the first index by the heart rate. 18.-. (canceled)9. An exercise intensity estimation method comprising:calculating an RS amplitude from a peak value of an R wave to a peak value of an S wave in an electrocardiographic waveform of a target person, a height of the R wave, or a depth of the S wave;calculating an amplitude or a height of a T wave of the electrocardiographic waveform; andcalculating, as a first index indicating exercise intensity of the target person, a value obtained by normalizing the amplitude or the height of the T wave according to the RS amplitude, the height of the R wave, or the depth of the S wave.10. The exercise intensity estimation method according to claim 9 , further comprising estimating the exercise intensity of the target person based on the first index.11. The exercise intensity estimation method according to claim 9 , further comprising:calculating a heart rate from the electrocardiographic waveform; andcalculating, as a second index indicating the exercise intensity of the target person, a value obtained by multiplying the first index by the heart rate.12. The exercise intensity estimation method according to claim 11 , further comprising estimating the exercise intensity of the target person based on ...

SYSTEM AND METHOD FOR TREATING AND IDENTIFYING AN ARRHYTHMIA

An implantable medical device (IMD) for treating an arrhythmia and a method of treating an arrhythmia with an IMD are provided. The IMD includes electrodes that are configured to be located proximate to heart tissue of interest. At least a portion of the electrodes are configured to deliver therapy. At least a portion of the electrodes are configured to sense cardiac activity (CA) signals. The one more processors, when executing program instructions, are configured to deliver antitachycardia pacing (ATP) therapy through the electrodes to the heart tissue of interest in connection with an arrhythmia and obtain ATP derived CA signals responsive to delivery of the ATP therapy. The IMD determines a characteristic of interest (COI) from the ATP derived CA signals, calculates a probability of an arrhythmia type based on the COI and records the probability of the arrhythmia type. 1. An Implantable medical device (IMD) for treating an arrhythmia comprising:electrodes configured to be located proximate to heart tissue of interest, at least a portion of the electrodes configured to deliver therapy, at least a portion of the electrodes configured to sense cardiac activity (CA) signals; deliver antitachycardia pacing (ATP) therapy through the electrodes to the heart tissue of interest in connection with an arrhythmia;', 'obtain ATP derived CA signals responsive to delivery of the ATP therapy;', 'determine a characteristic of interest (COI) from the ATP derived CA signals;', 'calculate a probability of an arrhythmia type based on the COI; and', 'record the probability of the arrhythmia type., 'one more processors that, when executing program instructions, are configured to2. The IMD of claim 1 , wherein the ATP derived CA signals are indicative of a response of the heart tissue of interest to the ATP therapy.3. The IMD of claim 1 , wherein the COI includes at least one of atrial cycle length claim 1 , ventricular cycle length claim 1 , or ventricular-atrial (VA) interval.4. The ...

ECG SIGNAL PROCESSING APPARATUS, MRI APPARATUS, AND ECG SIGNAL PROCESSING METHOD

In one embodiment, an ECG signal processing apparatus is configured to be connected with an electrocardiograph and an MRI apparatus and includes memory circuitry and processing circuitry configured to (a) store a parameter of an ECG signal as a first parameter in the memory circuitry, the ECG signal being acquired from the electrocardiograph operating in combination with the MRI apparatus in a period during which a gradient pulse is not applied by the MRI apparatus, (b) implement an adaptive filter for estimating noise mixed into the ECG signal due to the gradient pulse, by using the first parameter stored in the memory circuitry and a gradient magnetic field signal acquired from the MRI apparatus in a period during which the gradient pulse is applied, and (c) remove the noise mixed into the ECG signal in the period during which the gradient pulse is applied, by using estimated noise. 1. An ECG signal processing apparatus configured to be connected with an electrocardiograph and an MRI apparatus , the ECG signal apparatus comprising:memory circuitry; and store a parameter of an ECG signal as a first parameter in the memory circuitry, the ECG signal being acquired from the electrocardiograph operating in combination with the MRI apparatus in a period during which a gradient pulse is not applied by the MRI apparatus,', 'implement an adaptive filter for estimating noise mixed into the ECG signal due to the gradient pulse, by using the first parameter stored in the memory circuitry and a gradient magnetic field signal acquired from the MRI apparatus in a period during which the gradient pulse is applied, and', 'remove the noise mixed into the ECG signal in the period during which the gradient pulse is applied, by using noise estimated by the adaptive filter., 'processing circuitry configured to'}2. The ECG signal processing apparatus according to claim 1 , implement the adaptive filter as an FIR (Finite Impulse Response) filter having variable coefficients, and', ' ...

Apparatus and method for endovascular device guiding and positioning using physiological parameters

An endovascular navigation system and method are disclosed. The endovascular navigation system includes an elongate flexible member configured to access the venous vasculature of a patient, a processor, and a display. The elongate flexible member includes an endovascular electrogram lead disposed at a distal end of the elongate flexible member and configured to sense an endovascular electrogram signal of the venous vasculature of the patient, and a first wireless interface configured to wirelessly transmit the endovascular electrogram signal to the processor. The processor includes a second wireless interface configured to wirelessly receive the endovascular electrogram signal from the elongate flexible member. The processor is configured to determine that the position of the distal end of the elongate flexible member is within a predetermined structure within the venous vasculature of the patient. The display is configured to display a visual indication that the distal end of the elongate flexible member is within the predetermined structure within the venous vasculature of the patient.

INFANT PATIENT TRANSFER DEVICE WITH HEART RATE SENSOR

A patient transfer device is utilized to transport infant patients between locations within a hospital environment. The patient transfer device includes a center, support section and a pair of side sections that can be moved into contact with each other to surround the infant patient. The first and second side sections each include a handle that can be brought into close proximity to each other and can be grasped by a single hand of a clinician. The patient transfer device includes a heart rate sensor positioned to provide a heart rate measurement of the patient when the patient is received on the patient transfer device. The patient heart rate can be displayed on either an integrated display or wirelessly transmitted to an external display device. In this manner, the heart rate of the infant can be continuously monitored during transport. 120-. (canceled)21. A transfer device configured to support an infant patient during transfer of the infant patient , comprising:a heart rate sensor configured to continuously monitor the infant patient's heart rate during transfer;a center support section configured to be positioned beneath the infant patient;a first side section connected to the center support section;a second side section connected to the center support section, wherein the first and second side sections are sized to surround the infant patient when the first and second side sections are folded toward each other when the infant patient is on the center support section;a display in communication with the heart rate sensor to display the infant patient's heart rate during transfer of the infant patient.22. The transfer device of wherein the heart rate sensor is in communication with a control unit contained in the transfer device claim 21 , wherein the control unit calculates the infant patient's heart rate based upon a sensed signal from the heart rate sensor.23. The transfer device of wherein the display is configured to communicate a visual alert when the ...

ACCELEROMETER SIGNAL CHANGE AS A MEASURE OF PATIENT FUNCTIONAL STATUS

A medical device system that includes accelerometer circuitry configured to generate signals including a sagittal axis signal, a vertical axis signal and a transverse axis signal, and processing circuitry configured to calculate a patient-specific functional status parameter associated with a Sit-To-Stand test from at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal. 1. An implantable medical device comprising:communication circuity configured to establish a communication link and transfer data between the IMB intra-corpus and a computing device extra-corpus;accelerometer circuitry configured to generate a plurality of signals including a sagittal axis signal, a vertical axis signal and a transverse axis signal; and calculate a patient-specific functional status parameter associated with a Sit-To-Stand test from at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal; and', 'activate the communication circuity to transmit the patient-specific functional status parameter from the IMB to the computing device., 'processing circuitry configured to2. The device of claim 1 , wherein the processing circuitry is configured to:calculate rate of change of a segment of at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal; andcalculate the patient-specific functional status parameter based on the calculated rate of change.3. The device of claim 1 , wherein the processing circuitry is configured to:calculate a definite integral over a segment of at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal; andcalculate the patient-specific functional status parameter based on the calculated definite integral.4. The device of claim 1 , wherein the processing circuitry is configured to:calculate a length of time of a segment of at least one of the sagittal axis signal, the vertical axis signal and the transverse ...

Evaluating arterial pressure, vasomotor activity and their response to diagnostic tests

Method and system for evaluating arterial pressure waves, vascular properties, as well as for diagnostic, physiological and pharmacological testing using various combinations of the following data acquisition and processing steps (some of the steps are optional): 1. Perturbing arterial pressure from its steady state. 2. Measuring the dynamics of at least one parameter related to the passage of arterial pressure waves along blood vessels. 3. Characterizing the magnitude and functional relation of changes in parameters described above in relation to changes in blood pressure during its displacement from and/or return to the steady state. 4. Classifying (comparing) the individual functional relation described above with a databank of parameters/functional relations for different states of vasomotor activity. 1. A system for dynamical evaluation of at least one feature of cardiovascular activity , said system comprising:at least one accelerometer-containing sensor which is adapted for placement on the surface of an individual's torso for registering signals related to the torso surface movement respecting cardiovascular mechanical activity;at least one acquisition module which is adapted for acquiring information from said at least one sensor; andat least one processing module which is adapted for processing said information from said at least one sensor to evaluate at least one feature selected from arterial blood pressure in the central arteries, arterial blood-pressure wave, and pulse-transit time.2. A system as set forth in which includes at least one communication module for transmitting said information from said acquisition module to said processing module.3. A system as set forth in in which said communication module is adapted for communicating with at least one of the following devices: external computer claim 2 , computer tablet claim 2 , smart phone claim 2 , and Internet cloud.4. A system as set forth in in which said communication module is wireless.5. A ...

ANALYSIS OF CARDIAC RHYTHM USING RR INTERVAL CHARACTERIZATION

A method for analysis of cardiac rhythms, based on calculations of entropy and moments of interbeat intervals. An optimal determination of segments of data is provided that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each segment with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated and provided as a continuous variable, providing dynamical information of fundamental importance in diagnosis and analysis. Through the present invention, standard histograms, thresholds, and categories can be avoided. 1. A method for analyzing at least one cardiac rhythm , wherein the method employs multivariate statistical models that employ entropy measures , wherein the at least one cardiac rhythm comprises an RR-interval series , and wherein the method comprises characterizing RR intervals by at least one dynamic parameter;combining the at least one dynamic parameter with at least one density parameter;classifying the at least one cardiac rhythm based on the combination of the at least one dynamic parameter and the at least one density parameter; andgenerating a diagnostic output based on the classification.2. The method of claim 2 , wherein the at least one dynamic parameter is selected from the group consisting of differential quadratic Renyi entropy rate measured using the SampEn algorithm claim 2 , normalized sample entropy (SE) claim 2 , non-normalized sample entropy (Q) claim 2 , and the coefficient of sample entropy (COSEn).3. The method of claim 2 , wherein the at least one density parameter is selected from the group consisting of standard deviation and coefficient of variation (CV) measured using histogram summary statistics.4. The method of claim 2 , wherein the characterization of RR-intervals by the at least one dynamic parameter takes into account the order of data points in the RR-interval series.5. The ...

BIOLOGICAL SIGNAL PROCESSING METHOD AND BIOLOGICAL SIGNAL PROCESSING APPARATUS

There is provided a biological signal processing apparatus. The biological signal processing apparatus includes a biological signal extraction unit () configured to extract a biological signal from an electrocardiographic waveform measured by an electrocardiograph (), an averaging processing unit () configured to calculate averaged data using time-series data of the biological signals extracted by the biological signal extraction unit (), an abnormal value determination unit () configured to determine, for each data, whether the data of the biological signal extracted by the biological signal extraction unit () is appropriate, based on the averaged data calculated using the data of the biological signals that have occurred before the data, and an abnormal value processing unit () configured to perform one of deletion and interpolation of the data of the biological signal determined to be inappropriate by the abnormal value determination unit (). 1. (canceled)2. A biological signal processing method:a first step of extracting a biological signal from an electrocardiographic waveform of a living body;a second step of calculating averaged data using time-series data of the biological signals extracted in the first step;a third step of determining, for each data, whether the data of the biological signal extracted in the first step is appropriate, based on the averaged data calculated using the data of the biological signals that have occurred before the data; anda fourth step of performing one of deletion and interpolation of the data of the biological signal determined as inappropriate in the third step, a fifth step of performing averaging processing for values based on reciprocals of values of the time-series data of the biological signals extracted in the first step, and', 'a sixth step of calculating the averaged data from a reciprocal of a value obtained by the averaging processing in the fifth step., 'the second step including'}3. The biological signal ...

Methods and Systems for Mapping Cardiac Activity

Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram. 1. A method of mapping cardiac activity , comprising:receiving an electrogram signal S(t) at a signal processor; and transforming the electrogram signal S(t) into the wavelet domain, thereby computing a scalogram G(f,t);', 'computing at least one energy function L(t) of the scalogram G(f,t); and', 'computing at least one metric of the electrogram signal S(t) using the at least one energy function L(t)., 'using the signal processor2. The method according to claim 1 , wherein transforming the electrogram signal S(t) into the wavelet domain comprises applying a continuous wavelet transformation to the electrogram signal S(t) to compute the scalogram G(f claim 1 ,t).3. The method according to claim 1 , further comprising setting values of G(f claim 1 ,t) less than a preset noise threshold to zero.4. The method according to claim 1 , wherein computing at least one energy function L(t) of the scalogram G(f claim 1 ,t) comprises computing at least one energy function L(t) of form L(t)=ΣG(f claim 1 ,t).5. The method according to claim 4 , wherein computing at least one metric of the electrogram signal S(t) using the at least one energy function L(t) comprises computing a QRS activity duration for the ...

SYSTEMS AND METHODS FOR MATERNAL UTERINE ACTIVITY DETECTION

A method includes receiving bio-potential inputs; generating signal channels from the bio-potential inputs; pre-processing data in the signal channels; extracting R-wave peaks from the pre-processed data; removing artifacts and outliers from the R-wave peaks; generating R-wave signal channels based on the R-wave peaks in the pre-processed signal channels; selecting two or more of the R-wave signal channels; and combining the selected two or more R-wave signal channels to produce an electrical uterine monitoring signal. 1. A computer-implemented method , comprising: wherein each of the raw bio-potential inputs being received from a corresponding one of a plurality of electrodes,', 'wherein each of the plurality of electrodes is positioned so as to measure a respective one of the raw bio-potential inputs of a pregnant human subject;, 'receiving, by at least one computer processor, a plurality of raw bio-potential inputs,'} 'wherein the plurality of signal channels comprises at least three signal channels;', 'generating, by the at least one computer processor, a plurality of signal channels from the plurality of raw-bio-potential inputs,'} 'wherein each of the pre-processed signal channels comprises respective pre-processed signal channel data;', 'pre-processing, by the at least one computer processor, respective signal channel data of each of the signal channels to produce a plurality of pre-processed signal channels,'} 'wherein each of the R-wave peak data sets comprises a respective plurality of R-wave peaks;', 'extracting, by the at least one computer processor, a respective plurality of R-wave peaks from the pre-processed signal channel data of each of the pre-processed signal channels to produce a plurality of R-wave peak data sets,'} 'wherein the at least one signal artifact is one of an electromyography artifact or a baseline artifact;', 'removing, by the at least one computer processor, from the plurality of R-wave peak data sets, at least one of: (a) at least ...

CARDIAC RATE TRACKING IN AN IMPLANTABLE MEDICAL DEVICE

Self-correlation enhancements and implementations are described. In particular, certain examples demonstrate the use of a tracking mechanism to identify and/or confirm cardiac rate using data from iterative self-correlation performed at intervals over time. This may enable the interpolation of cardiac rate in an implantable medical device when data is insufficient, and may provide confidence in cardiac rate analyses. 1. A method of operation in an implantable cardiac device comprising:analyzing cardiac data using a rate estimation method iteratively over time to yield a series of cardiac rate estimates;determining that the series of cardiac rate estimates establishing a first cardiac rate track; and determining that the cardiac data of the particular iteration fails to provide a cardiac rate; and', 'interpolating a cardiac rate estimate using the first track., 'following establishment of the first cardiac rate track, attempting a particular iteration of the rate estimation method and2. The method of wherein the rate estimation method comprises:establishing a buffer of cardiac data including a quantity of data samples;iteratively comparing at least a portion of the buffer of cardiac data to itself by shifting the quantity of data samples across the buffer to yield a function having peaks;analyzing the peaks to determine whether any of the peaks alone represent a match of sufficient similarity to yield a reliable RR Estimate;analyzing the peaks to determine whether any combination of peaks represent a match of sufficient regularity to yield a reliable RR Estimate; andif either analysis of the peaks yields a reliable RR Estimate, determining an RR Estimate;wherein, for the particular iteration, neither analysis of the peaks yields a reliable RR estimate.3. The method of wherein the step of interpolating a cardiac rate further requires that the rate estimation method identify a possible cardiac rate matching the first track.4. The method of wherein the implantable ...

PEAK SELECTION FOR SELF CORRELATION ANALYSIS OF CARDIAC RATE IN AN IMPLANTABLE MEDICAL DEVICES

Self-correlation enhancements and implementations are described. In particular, certain examples demonstrate the use of a peak selector to identify peaks of a self-correlation function which serve as candidate cardiac rates for an implantable medical device. The approach may enable an alternative calculation of cardiac rate in an implantable medical device as a stand-alone rate detector or as a double-check of other rate calculations. 1. A method of analyzing cardiac signals in an implantable medical device having a plurality of electrodes for sensing cardiac signals coupled to operational circuitry for at least performing analysis of sensed cardiac signals , the method comprising:generating a self-correlation function from the sensed cardiac signals, the self-correlation function having amplitudes as a function of lag depth; andidentifying amplitude peaks in the self-correlation function and finding a first estimate of cardiac rate:identifying one or more candidate amplitude peaks each having lag depths; a candidate peak having the least lag depth of the identified candidate peaks, or', 'a candidate peak having an amplitude that is larger than that of the candidate peak with the least lag depth by at least a first margin and which corresponds to a cardiac rate exceeding a rate threshold;, 'selecting a first candidate peak having a first lag depth by choosing eitherapplying a picket test to the first candidate peak by determining whether at least one additional peak appears at a second lag depth that is a multiple of the lag depth of the first candidate peak and, if so, finding that the picket test is passed for the first candidate peak.2. The method of wherein the first estimate of cardiac rate is generated by converting the first lag depth to a time interval and converting the time interval into a rate in response to finding that the picket test was passed by the first candidate peak.3. The method of further comprising:finding that the picket test was not passed ...

CALCULATION OF SELF-CORRELATION IN AN IMPLANTABLE CARDIAC DEVICE

Self-correlation enhancements and implementations are described. In particular, certain examples demonstrate the analytical tools to reduce the computational burden of generating a self-correlation function within an implantable medical device. Peak selector and tracking analysis are also included as secondary elements for identifying and generating confidence in rate estimates based on the self-correlation function. The approach may enable an alternative calculation of cardiac rate in an implantable medical device as a stand-alone rate detector or as a double-check of other rate calculations. 1. A method of iterative analysis of cardiac signals comprising:sensing cardiac signals from a plurality of electrodes;generating a self-correlation function from the sensed cardiac signals, the self-correlation function having amplitudes as a function of lag depth; anddetermining a first estimate of cardiac rate using the self-correlation function;wherein the step of generating the self-correlation function includes:selecting a first data set from the cardiac signal having a first length, N, and a second data set from the cardiac signal having a second length approximately twice the length of the first length, wherein the second data set includes the first data set;repeatedly subtracting the first data set from the second data set at a series of lag depths from approximately zero to approximately N, to generate the self-correlation function.2. A method as in further comprising identifying amplitude peaks in the self-correlation function and finding a first estimate of cardiac rate.3. A method as in wherein the step of generating the self-correlation function includes normalizing results of the repeated subtracting step.4. A method as in wherein the step of determining a first estimate of cardiac rate includes identifying a peak in the self-correlation having a first lag depth claim 3 , wherein the peak is analytically determined to be likely to indicate reliably high ...

ELECTROCARDIOGRAPHY SIGNAL EXTRACTION METHOD

An electrocardiography signal extraction method includes receiving an electrocardiography signal, detecting a peak of a wave of the electrocardiography signal, separating the wave into left and right waves, normalizing the left wave and a plurality of scales of Gaussian, comparing the normalized left wave with a left part of the normalized scales of Gaussian, acquiring a left part error function, indicating a left minimum comparative error, selecting a left scale of Gaussian with the left minimum comparative error, obtaining a left duration of the wave, normalizing the right wave, comparing the normalized right wave with a right part of the normalized scales of Gaussian, acquiring a right part error function, indicating a right minimum comparative error, selecting a right scale of Gaussian with the right minimum comparative error, obtaining a right duration of the wave, and obtaining an extracted wave. 1. An electrocardiography signal extraction method , as executed by a processor of a computer system , comprising:receiving an electrocardiography signal;detecting a peak of a wave of the electrocardiography signal;separating the wave into a left wave and a right wave;normalizing the left wave and a plurality of scales of Gaussian;comparing the normalized left wave with a left part of the normalized scales of Gaussian;acquiring a left part error function;indicating a left minimum comparative error;selecting a left scale of Gaussian with the left minimum comparative error;obtaining a left duration of the wave according to the selected left scale of Gaussian and the peak;normalizing the right wave;comparing the normalized right wave with a right part of the normalized scales of Gaussian;acquiring a right part error function;indicating a right minimum comparative error;selecting a right scale of Gaussian with the right minimum comparative error; andobtaining a right duration of the wave according to the selected right scale of Gaussian and the peak; andobtaining an ...

Method and Device for Non-Invasive Blood Pressure Measurement

A system for measuring blood pressure of a user that comprises an ElectroCardioGram (ECG) circuit with at least two ECG electrodes configured to obtain an electrical activity of a heart of the user by measuring the electrical signals detected at the at least two ECG electrodes as an electrocardiogram waveform, and a pulse oximeter circuit configured to obtain a pulse waveform corresponding to a blood flow on user's vessels. The system further comprises a processor that is in electrical contact with the electrocardiogram circuit and the pulse oximeter circuit. The processor is configured to simultaneously analyze the electrocardiogram waveform and the pulse waveform. The processor is further configured to identify a “Zero Voltage Crossing” point on the electrocardiogram waveform and to determine time delays from this point to respective different determined points of the pulse waveform; and to use the time delays to compute the blood pressure values 125-. (canceled)26. A wrist-worn device for measuring blood pressure of a user , comprising:at least one of a back dial and a back side of a strap of the wrist-worn device configured to be in contact with an arm of the user on which the wrist-worn device is intended to be worn;an electrocardiogram (ECG) circuit with at least two electrodes, the ECG circuit configured to obtain an electrical activity of a heart of the user by measuring an ECG waveform detected by the at least two ECG electrodes;a pulse oximeter configured to obtain a pulse waveform corresponding to a blood flow in a blood vessel of the user; anda computing device configured to use the ECG waveform and the pulse waveform to compute blood pressure,wherein one or more of the at least two ECG electrodes is placed on at least one of the back dial and on the back side of the strap, and one or more of the at least two ECG electrodes is placed on a front side of the wrist-worn device or on a front side of the strap and is configured to be touched by the user, ...