Способ прогнозирования риска развития хронической сердечной недостаточности у пациентов, перенесших новую коронавирусную инфекцию COVID-19

Изобретение относится к медицине, а именно к кардиологии. У больных при госпитализации определяют возраст, наличие или отсутствие хронической болезни почек, соотношение нейтрофилов к лимфоцитам, международное нормализованное отношение, длительности QT-интервала на электрокардиограмме, количество тромбоцитов, уровней прокальцитонина, С-реактивного белка, креатинина, билирубина, лактатдегидрогеназы в сыворотке крови. Для расчета риска развития хронической сердечной недостаточности осуществляют математическую обработку числовых значений по оригинальной формуле. При значении Р более 0,5 прогнозируют высокий риск развития хронической сердечной недостаточности. Способ позволяет прогнозировать риск развития хронической сердечной недостаточности у больных, перенесших новую коронавирусную инфекцию, что повышает точность диагностики, и влияет на тактику лечения; дает возможность получить индивидуальный профиль риска конкретного пациента; прост в применении за счет использования лабораторных показателей ...

Systems and methids of QT interval analysis

Disclosed systems and method receive electrocardiogram (EKG) data of a subject. The EKG data comprises a record of at least a full beat of the subject. The EKG data is input into a machine learning model to generate an output. The output can include a segmentation of the full beat or a measurement of a QT interval of the subject.

AN APPARATUS AND A METHOD FOR QT CORRECTION

A method for QT correction is provided, the method comprising receiving an ECG signal; extracting a plurality of beat-to-beat (RR) intervals; extracting a plurality of QT intervals; computing a first probability distribution for a range of QT values based on the plurality of QT intervals; computing a second probability distribution for a range of QT values based on the plurality of QT intervals and the plurality of RR intervals; solving one or more points, wherein the first probability distribution and the second probability distribution intersect or wherein a difference between the first probability distribution and the second probability distribution is below a pre-defined difference threshold; designating one of one or more QT values corresponding to the one or more points as a corrected QT interval for a given QT interval of the plurality of QT intervals.

AUTOMATIC CARDIOVASCULAR DISEASE DIAGNOSTIC SYSTEM AND METHOD

A method for automatically and independently associating a cardiovascular disease with an electrocardiogram, ECG, signal includes receiving (1800) the ECG signal; denoising (1802) the ECG signal using a wavelet transform; determining (1804) peaks of the denoised ECG signal by applying a combination of (1) two event-related moving averages and (2) fractional-Fourier-transform (FrFT) to the denoised ECG signal; and passing (1806) the peaks through a classifier for identifying the cardiovascular disease that corresponds to the ECG signal.

METHOD AND SYSTEM FOR DETERMINING MYOCARDIAL ISCHEMIA SEVERITY BASED ON HEMODYNAMIC PARAMETERS ESTIMATION

This disclosure relates generally to method and system for determining myocardial ischemia severity based on hemodynamic parameters estimation. Many patients suffer from myocardial ischemia due to narrowing of coronary artery resulting poor oxygen supply in cardiac muscles. The method includes receiving Electrophysiology (EP) signal from a simulated heart surface model to generate a single lead ECG template. The method further estimates hemodynamic parameters using a hemodynamic module based on the single lead ECG template and then estimates cardiac pressure-volume loop variables. The myocardial ischemia severity of the heart surface model is determined which includes one of moderate ischemia, severe ischemia and silent ischemia. Here, the cardiac source module is coupled with the hemodynamic module to determine cardiac transmembrane potential (TMP) of the heart surface model through contractility function. This method serves as a guidance platform for patient care such as synthetic data ...

Способ выявления электрической нестабильности миокарда с использованием ЭКГ высокого разрешения с оценкой поздних потенциалов предсердий и желудочков у пациентов с минимальными клиническими проявлениями после электротравмы

Изобретение относится к медицине, а именно кардиологии. Выполняют суточное мониторирование ЭКГ через 7 дней после электротравмы и при регистрации у пациента поздних потенциалов предсердий и желудочков выявляют электрическую нестабильность миокарда. При этом наличие поздних потенциалов предсердий (ППП) определяют при показателях PTotal – длительность фильтрованного зубца Р больше либо равна 120 мс и RMS20 – среднеквадратичная амплитуда за последние 20 мс зубца Р менее 3,5 мкВ. Наличие поздних потенциалов желудочков (ППЖ) определяют при выявлении не менее двух из показателей: QRS-RMS40 – средняя квадратичная амплитуда последних 40 мс в комплексе менее 25 мкВ, QRS-ТоtQRSF – продолжительность фильтрованного комплекса более 120 мс и QRS-LAS40 – продолжительность низкоамплитудных менее 40 мкВ сигналов в конце комплекса более 39 мс. Способ позволяет своевременно провести оценку риска внезапной сердечной смерти у пациентов с минимальными клиническими проявлениями после электротравмы, за счет раннего ...

Systems and methods for detecting atrial tachyarrhythmia using heart sounds

Systems and methods for detecting atrial tachyarrhythmias (AT) such as atrial fibrillation (AF) are disclosed. A medical system can include a cardiac signal sensor circuit to sense a cardiac electrical signal and a heart sound (HS) sensor to sense heart a HS signal A cardiac electrical signal metric, including a cycle length variability or a detection of atrial electrical activity, can be generated from the cardiac electrical signal A HS metric can be generated from the HS signal, including a status of detection of S4 heart sound or a S4 heart sound intensity indicator. The system can include an AT detector circuit that can detect an AT event, such as an AF event, using the cardiac electrical signal metric and the HS metric. The system can additionally classify the detected AT event as an AF or an atrial flutter event.

SYSTEM AND METHOD FOR INFORMING OF ATTACHMENT POSITIONS OF ECG ELECTRODES

Provided are a system and method for informing of attachment positions of electrocardiogram (ECG) electrodes to improve the quality of ECG data. The system includes a judgment indicator extractor configured to extract a plurality of judgment indicator values from ECG data obtained through ECG electrodes, a reference value setter configured to, in a user-specific reference value setting mode, collect the judgment indicator values for a plurality of pieces of ECG data extracted by the judgment indicator extractor and set user-specific reference values for each judgment indicator, a similarity determiner configured to, in an ECG measurement mode, determine similarity by comparing a plurality of judgment indicator values extracted by the judgment indicator extractor with the user-specific reference values, and an electrode attachment position guide configured to inform a user of attachment positions of the ECG electrodes according to a similarity determination result of each of the judgment ...

Способ коррекции аритмии у детей старшего возраста, больных туберкулезом органов дыхания с множественной и широкой лекарственной устойчивостью МБТ, получающих бедаквилин в режимах химиотерапии

Изобретение относится к медицине, а именно к педиатрии, кардиологии и фтизиатрии, и может быть использовано при лечении аритмии у детей старшего возраста, больных туберкулезом органов дыхания с множественной и широкой лекарственной устойчивостью МБТ, получающих бедаквилин в режимах химиотерапии. При увеличении интервала QTc больше 460 мс на ЭКГ покоя, QTc больше 470 мс на минимальной и максимальной ЧСС по данным Холтеровского мониторирования на фоне синусовой тахикардии, при превышении средних ЧСС больше 20% от возрастной нормы, нормальном уровне гемоглобина и калия проводят терапию бета-адреноблокатором атенолол в дозе 0,5 мг/кг/сут. Отмену препарата проводят не ранее чем через 3 месяца при условии нормализации ЧСС и интервала QTc по данным ЭКГ, при этом уменьшают дозу атенолола на половину до 1/4 исходной с приемом в течение 1 месяца с последующей отменой препарата. Способ позволяет провести коррекцию аритмии у ребенка с распространенным, деструктивным, осложненным эмпиемой туберкулезом ...

IMAGING PROBE WITH FLUID PRESSURIZATION ELEMENT

An imaging system for a patient comprises an imaging probe. The imaging probe comprises: an elongate shaft for insertion into the patient and comprising a proximal end, a distal portion, and a lumen extending between the proximal end and the distal portion; a rotatable optical core comprising a proximal end and a distal end, and at least a portion of the rotatable optical core is positioned within the lumen of the elongate shaft; an optical assembly positioned proximate the distal end of the rotatable optical core, the optical assembly configured to direct light to tissue and collect reflected light from the tissue; a damping fluid positioned between the elongate shaft and the rotatable optical core and configured to reduce non-uniform rotation of the optical assembly; and a fluid pressurization element configured to increase the pressure of the damping fluid to reduce the presence of bubbles proximate the optical assembly.

Method and device for the technical support of the analysis of signals acquired by measurement, the signals having a time- and space-dependent signal characteristic

A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M×N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple Ūt=(U1, . . . , UN)tin a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k−1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

Способ определения корригированного интервала QT при полной блокаде левой ножки пучка Гиса

Maximum heart rate estimation method and device

This maximum heart rate estimation method includes: a first acquisition step of acquiring a heart rate of a subject performing an exercise; a second acquisition step of acquiring electrocardiographic waveforms of the subject performing the exercise; a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveforms; and an estimation step of estimating the maximum heart rate of the subject on the basis of the relationship between the predetermined feature amount and the acquired heart rate. The estimation step estimates the maximum heart rate of the subject on the basis of the heart rate that corresponds to an inflection point of the change in the predetermined feature amount relative to the acquired heart rate.

Cardiac signal QT interval detection

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

Electronic device for providing guide information

An electronic device and method are disclosed herein. The electronic device includes a housing, a first, second, third and fourth electrode coupled to the housing, a communication module, and a processor. The processor implements the method, including: detect a first signal using the first electrode and the fourth electrode, detect a second signal using the second electrode and the fourth electrode, detect a third signal using the third electrode and the fourth electrode, transmit the first signal, the second signal, and the third signal to an external electronic device via the communication module, and receive, from the external electronic device, via the communication module, data for generating guidance information to correct an attachment position of the electronic device, wherein the guidance information is generated based on: a first biological signal generated based on the first signal and the second signal, a second biological signal generated based on the second signal and the ...

ECG BELT SYSTEMS TO INTEROPERATE WITH IMDS

An electrode apparatus includes a portable amplifier and a plurality of external electrodes to be disposed proximate a patient's skin. A portable computing apparatus is operably coupled to the electrode apparatus. The portable computing apparatus is configured to monitor electrical activity from tissue of a patient using the plurality of external electrodes to generate a plurality of electrical signals over time. The portable computing apparatus is configured to perform at least one of optimizing at least one parameter of the of the implantable pacing device based on the plurality of electrical signals and determining cardiac synchrony based on the plurality of electrical signals.

MOBILE QT ANALYSIS INTEGRATION

Embodiments of the present disclosure relate to providing GUIs for visualizing ECG data and integrated QT analysis results. A system may comprise an electrocardiogram (ECG) monitoring device to measure an ECG of a user to generate ECG data and transmit the ECG data. The system may further comprise a cloud analysis platform to receive the ECG data, perform a QT analysis based on the ECG data to generate QT analysis results, and transmit the QT analysis results. The system may further comprise a computing device to receive the QT analysis results and provide a graphical user interface (GUI) to visualize the ECG data with the QT analysis results integrated therein.

METHODS AND SYSTEMS FOR DETECTING ECG ANOMALIES

Methods, apparatus and systems for robust and accurate detection of anomalies in medical images and electrocardiograms are disclosed. One example system for training a neural network engine includes a processor that is configured to receive a set of training electrocardiogram signals. At least one electrocardiogram signal in the set of training electrocardiogram signals is associated with metadata identifying a region of interest that includes a heart anomaly. The processor is configured to input the set of training electrocardiogram signals into the neural network engine. The neural network engine is trained using an objective function having a first regularization parameter and a second regularization parameter. The processor is also configured to operate the neural network engine to identify the heart anomaly by classifying the set of training electrocardiogram signals and adjust the neural network engine based on the identified heart anomaly and the metadata.

MODEL-BASED SENSOR TECHNOLOGY FOR DETECTION OF CARDIOVASCULAR STATUS

The invention disclosed here is sensor technology incorporating a closed-loop mathematical model of a cardiovascular system, for detection and/or monitoring of a cardiovascular status of a test subject. The closed-loop cardiovascular model equates common circuit components with real-world cardiovascular parameters, and is capable of tracking and/or predicting cardiovascular behavior. 1. A system for sensing cardiovascular mechanisms for determination of a cardiovascular status , the system comprising:a sensor configured to (1) sense cardiovascular forces of a subject and (2) generate a sensor signal representative of the sensed cardiovascular forces; anda circuit configured to (1) extract cardiovascular function data from the sensor signal, (2) simulate cardiovascular function data based on a closed-loop cardiovascular model, (3) compare the extracted cardiovascular function data with the simulated cardiovascular function data, and (4) determine a cardiovascular status for the subject based on the comparison.2. The system of wherein the closed-loop cardiovascular model models cardiovascular function as a network of circuit components claim 1 , and includes circuit components that model a heart claim 1 , systemic circulation claim 1 , pulmonary circulation and cerebral circulation.3. The system of wherein the circuit components include a plurality of resistors claim 2 , capacitors claim 2 , and inductors.4. The system of wherein the circuit components further include a plurality of voltage sources.5. The system of wherein the closed-loop cardiovascular model comprises a plurality of parameters claim 1 , and wherein the circuit is programmable in response to user input to define the closed-loop cardiovascular model parameters.6. The system of wherein the circuit programmed in response to the user input defines the closed-loop cardiovascular model parameters with respect to physiological parameters of the subject.7. The system of wherein the circuit is configured to ...

CARDIAC SIGNAL QT INTERVAL DETECTION

System and method for QRS complex detection in compressively sensed electrocardiogram data

Electrocardiogram (ECG) data is compressible at high compression ratios using suitable compressive sensing techniques. Methods of detecting QRS complexes in an ECG signal may comprise receiving compressively-sensed measurements of an ECG signal; constructing an estimate of the ECG signal from the received compressively-sensed measurements, and detecting QRS complexes in the estimate of the ECG signal. QRS complexes may be detected by computing the first-order difference of the estimate of the ECG signal and processing the first-order difference of the estimate of the ECG signal to locate one or more significant natural blocks, each indicating a QRS complex in the ECG signal. QRS complexes may also be detected by using a conventional QRS detection algorithm on the estimate of the ECG signal. Also disclosed are related systems for detecting QRS complexes and for compressively sensing ECG signals.

SYSTEMS AND METHODS FOR DIAGNOSING A HEALTH CONDITION BASED ON PATIENT TIME SERIES DATA

METHODS AND SYSTEMS FOR DISTINGUISHING OVER-SENSED R-R INTERVALS FROM TRUE R-R INTERVALS

AUTOMATICALLY PERFORMING IRREVERSIBLE ELECTROPORATION ABLATION DURING HEART REFRACTORY PERIOD

A method includes inserting an ablation catheter into an ablation site in a patient heart. Multiple electrocardiogram (ECG) signals are acquired. A refractory period of the patient heart is detected based on the acquired ECG signals. The ablation site is ablated using the ablation catheter during the detected refractory period.

METHOD AND APPARATUS FOR DISCRIMINATING TACHYCARDIA EVENTS IN A MEDICAL DEVICE

ECG BELT SYSTEMS TO INTEROPERATE WITH IMDS

Blood pressure prediction method and device, storage medium and computer equipment

The invention provides a blood pressure prediction method and device, a storage medium and computer device.The method comprises the steps that an electrocardiosignal sample, a pulse wave signal sample and a blood pressure data sample are obtained; respectively acquiring a first electrocardiosignal sample feature set and a first pulse wave signal sample feature set associated with the blood pressure data sample from the electrocardiosignal sample and the pulse wave signal sample; performing feature screening on the first electrocardiosignal sample feature set and the first pulse wave signal sample feature set to obtain a second electrocardiosignal sample feature set and a second pulse wave signal sample feature set; training the initial neural network model according to the second electrocardiosignal sample feature set, the second pulse wave signal sample feature set and the blood pressure data sample to obtain a blood pressure prediction model; and inputting the real-time electrocardiosignal ...

APPARATUS AND A METHOD FOR QT CORRECTION

A method for QT correction is provided, the method comprising receiving an ECG signal; extracting a plurality of beat-to-beat (RR) intervals; extracting a plurality of QT intervals; computing a first probability distribution for a range of QT values based on the plurality of QT intervals; computing a second probability distribution for a range of QT values based on the plurality of QT intervals and the plurality of RR intervals; solving one or more points, wherein the first probability distribution and the second probability distribution intersect or wherein a difference between the first probability distribution and the second probability distribution is below a pre-defined difference threshold; designating one of one or more QT values corresponding to the one or more points as a corrected QT interval for a given QT interval of the plurality of QT intervals.

METHOD FOR DETERMINING ELECTRICAL ACTIVITY OF CARDIAC MUSCLE

The object of the invention is a method for determining electrical activity of cardiac muscle, characterised in that the resultant electric potential (Vwyp) forming the QRS complex in the electrocardiogram obtained during the ECG test is decomposed into partial potentials corresponding to the depolarization of specific areas (i) of the left ventricular muscle (MS).

Methods, systems, and devices for detecting sleep and apnea events

Described herein are methods, devices, and systems that use electrogram (EGM) or electrocardiogram (ECG) data for sleep apnea detection. An apparatus and method detect potential apnea events (an apnea or hypopnea event) using a signal indicative of cardiac electrical activity of a patient's heart, such as an EGM or ECG. Variations in one or more morphological or temporal features of the signal over several cardiac cycles are determined and used to detect a potential apnea event in a measurement period. Checks can then be made for a number of factors which could result in a false detection of an apnea event and if such factors are not present, an apnea event is recorded. Described herein are also methods, devices, and systems for classifying a patient as being asleep or awake, which can be used to selectively enable and disable sleep apnea detection monitoring, as well as in other manners.

METHOD AND DEVICE TO CONTINUOUSLY MONITOR AND DETERMINE CARDIAC HEALTH OF A PERSON

Electrocardiogram (ECG) system has been adopted for almost a century to diagnose cardiovascular disease (CVD). Monitoring the cardiac signal provides an insight of CVD and function as an aiding tool for physician towards early detection of cardiac events. A method and wearable device to continuously monitor and determine the cardiac health of the person have been provided. The device is configured to monitor the cardiac system continuously in a partially or fully non-contact manner. The non-contact sensing is achieved by using a hybrid sensing technique. The device consists of a pair of electrodes, one electrode could be a contact sensor that will be touching the skin and the second sensor could be a non-contact sensor. The device facilitates to alert cardiac health monitoring locally or remote location. The device monitors cardiac health in the work environment rather than inducing stress among the participants by making them undergo a stress test.

PHYSIOLOGICAL INFORMATION ACQUISITION DEVICE, PROCESSING DEVICE, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

A reception interface (121) is configured to receive waveform data (W) corresponding to a measured waveform of a physiological parameter of a subject from a sensor (20). A notifier (11) is configured to output an alarm (A) indicating that the physiological parameter is not normally acquired. A processor (122) is configured to cause the notifier (11) to output the alarm (A) based on the waveform data (W). A predictor (124) is configured to predict, based on the waveform data (W), a probability (P) that the physiological parameter is erroneously calculated. The processor (122) is configured to cause the notifier (11) to perform a notification of at least one of a quality of the waveform data (W), a state of the sensor (20), and an action shall be taken by a user, based on the probability (P).

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

ELECTRONIC DEVICE FOR PROVIDING GUIDE INFORMATION

An electronic device and method are disclosed herein. The electronic device includes a housing, a first, second, third and fourth electrode coupled to the housing, a communication module, and a processor. The processor implements the method, including: detect a first signal using the first electrode and the fourth electrode, detect a second signal using the second electrode and the fourth electrode, detect a third signal using the third electrode and the fourth electrode, transmit the first signal, the second signal, and the third signal to an external electronic device via the communication module, and receive, from the external electronic device, via the communication module, data for generating guidance information to correct an attachment position of the electronic device, wherein the guidance information is generated based on: a first biological signal generated based on the first signal and the second signal, a second biological signal generated based on the second signal and the ...

ATRIAL FIBRILLATION DETECTION DEVICE, METHOD, SYSTEM AND STORAGE MEDIUM

The present invention discloses an atrial fibrillation detection device, method, system and storage medium. The device includes an ECG signal processing module, configured to identify positions of Q, R, S and T points of all heartbeats in an ECG signal acquired in a preset time, and determine a RR interval, a P point amplitude, an R point amplitude and a TQ segment waveform of each heartbeat according to the positions of the P, Q, R, S and T positions; and a detection module, configured to acquire an integrated score and perform conditional judgment on the integrated score, wherein the fifth score is a quotient of a total number of f waves in all the TQ segment waveforms in the ECG signal to a total number of the TQ segment waveforms involved in the ECG signal.

Method, device and equipment for detecting T-wave position in electrocardiosignal and storage medium

The invention discloses a method, a device and equipment for detecting a T-wave position in an electrocardiosignal and a storage medium. The method comprises the following steps: carrying out interference removal processing on an input original electrocardiosignal; r-wave detection and target R-wave selection are carried out on the obtained interference-removed electrocardiosignal, and the heart rate is obtained according to the RR interval of the target R-wave; detecting and determining a Q wave starting point position and a J point position of a Q wave between the target R waves; carrying out P wave detection, and if P waves exist between the target R waves, obtaining a P wave starting point position of the P waves; if the P wave exists, a detection interval of a T wave located between the target R waves is determined according to the heart rate, the starting point position of the P wave and the position of the J point, and if the P wave does not exist, the detection interval of the T ...

ST segment identification method and device, equipment and storage medium

The embodiment of the invention discloses an ST segment identification method and device, equipment and a storage medium, and the method mainly comprises the steps: obtaining a to-be-detected target electrocardiosignal, dividing the cardiac cycle of the target electrocardiosignal based on the R-wave position of the target electrocardiosignal, and obtaining a target cardiac cycle; the method comprises the following steps: searching S waves and T waves on a target cardiac cycle to obtain an ST segment, obtaining an amplitude of the ST segment based on the ST segment, obtaining a reference point meeting a preset condition between P waves and Q waves on the target cardiac cycle, and judging whether the state of the ST segment is normal or not according to a difference value between the amplitude of the ST segment and the amplitude of the reference point. According to the method, the state of the ST segment can be judged on the basis of the actual electrocardio characteristics of the human body ...

ECG, HEART AND LUNGS SOUND MONITORING SYSTEM WITH WIRELESS EARPHONES

A heart activity measurement system with heart and lungs sound monitoring is coupled with an earpiece such as a wireless earphone or earbud with electrodes connected to a skin for the purpose of measuring heart activity using electrocardiogram, ECG or EKG method. The apparatus consists of a heart and lungs sensor, at least two electrodes, where the first electrode is in contact with a skin within the ear of the user and the second electrode is in contact with a skin on a chest or a back of the user. The heart and lungs activity sensor can measure electrical signals generated by heart muscles between at least two electrodes, sense the sound generated by heart and lungs and transmit heart and lungs activity information wirelessly to a host device such as a smartphone or a smartwatch.

Electrocardiosignal processing method and device based on intelligent algorithm

The invention discloses an electrocardiosignal processing method based on an intelligent algorithm, which comprises the following steps of: processing a high-frequency electrocardiosignal in combination with a blind source separation technology based on an improved bee colony algorithm, further performing feature recognition on the processed high-frequency electrocardiosignal, and performing classification prediction by adopting a random forest algorithm based on features. Intelligent classification prediction of the high-frequency electrocardiosignals is achieved, the use efficiency of the high-frequency electrocardiosignals is improved, and the efficiency and accuracy of disease judgment of doctors are improved; the invention further provides an electrocardiosignal processing device based on the intelligent algorithm. According to the method, part of hidden heart diseases can be accurately judged from the high-frequency electrocardiosignals, the burden of manual judgment is relieved, ...

Advanced cardiovascular monitoring system with personalized st-segment thresholds

A device for detecting acute coronary syndrome (ACS) events, arrythmias, heart rate abnormalities, medication problems such as non-compliance or ineffective amount or type of medication, and demand/supply related cardiac ischemia is disclosed. The device may have both implanted and external components and can communicate with other user devices such as smartphones and smartwatches for monitoring and alerting in response to detected medically relevant events or states of a patient. The processor is configured to provide event detection based upon various criteria including what is found to be statistically abnormal for a patient or what has been defined by a doctor to be abnormal. A patient's cardiovascular condition can be tracked over time using histogram, trend, and summary information related to heart rate and/or cardiac features such as those measured from the S-T segment of heartbeats. Heartbeats that are elevated but which are below what is defined as high, are used to provide medically ...

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

Method and device for detecting atrial fibrillation in the presence of ventricular pacing

Methods and systems are provided for detecting arrhythmias in cardiac activity is provided. The method and systems are under control of one or more processors configured with specific executable instructions. The method and systems obtain a far field cardiac activity (CA) signal that includes a series of beats, the CA signal including paced events. The method and systems identify the paced events in the CA signals. The method and systems determine a score based on an amount of paced events and adjust at least one parameter of an atrial fibrillation (AF) detection process based on the score.

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

PACING ARTIFACT MITIGATION

A system for accounting for adverse pacing artifacts may include an electrode apparatus and a computing apparatus. The electrode apparatus may include one or more external electrodes to monitor electrical activity from tissue of a patient. The computing apparatus may include one or more processors and may be operatively coupled to the electrode apparatus. The computing apparatus may be configured to monitor electrical activity from the tissue of the patient using the one or more external electrodes. Such electrical activity may be used to generate one or more cardiac signals of the patient over time. The computing apparatus may detect a pacing artifact in the one or more cardiac signals and determine whether to account for, and account for, the pacing artifact based on a pacing artifact characteristic of the pacing artifact when producing electrical heterogeneity information.

METHODS AND SYSTEMS FOR DISTINGUISHING OVER-SENSED R-R INTERVALS FROM TRUE R-R INTERVALS

Described herein are devices, systems and method that monitor heart rate and/or for arrhythmic episodes based on sensed intervals that can include true R-R intervals as well as over-sensed R-R intervals. True R-R intervals are initially identified by comparing individual sensed intervals to a sum of an immediately preceding two intervals, and/or an immediately following two intervals, as well as by comparing sensed intervals to a mean or median of durations of intervals already identified as true R-R intervals. Individual intervals in a remaining ordered list of sensed intervals (from which true R-R intervals were removed) are classified as either a short or long interval, and over-sensed R-R intervals are identified based on the results thereof. Embodiments can be used to reduce reporting of and/or inappropriate responses to false positive tachycardia detections.

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

SELF-CALIBRATING GLUCOSE MONITOR

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

IDENTIFICATION OF STABLE ELECTROPHYSIOLOGICAL REGIONS

An example method includes storing reconstructed electrophysiological data sets for at least two baseline time intervals and at least one modulation time interval. The electrophysiological data sets are representative of electrophysiological signals reconstructed at locations across a respective surface of interest within a patient's body based on non-invasively measured electrophysiological signals for respective time intervals. The modulation time interval can overlap with modulating an arrhythmia or arrhythmogenic activity. The method can also include computing dominant frequency maps from the electrophysiological signals reconstructed for at least two baseline data sets and the at least one modulation data set. The method can also include analyzing the dominant frequency maps to determine an indication of dominant frequency stability across at least a portion of the surface of interest.

Atrial fibrillation detection method and device, electronic equipment and storage medium

The invention provides an atrial fibrillation detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an electrocardiosignal; determining the change condition of the ratio of adjacent RR intervals in the electrocardiosignal; dividing a plurality of RR intervals in the electrocardiosignal into a plurality of groups at equal intervals, determining the distribution probability of the RR intervals in each group, and determining an RR entropy based on the distribution probability; based on the change condition of the ratio of the adjacent RR intervals and the RR entropy, an R wave distribution rule in the electrocardiosignal is determined; removing QRST waves in the electrocardiosignal to obtain an atrial signal, clustering atrial fragments in the atrial signal, and obtaining a P-wave detection condition in the electrocardiosignal based on the clustering category of the atrial fragments; and determining whether an atrial fibrillation ...

PHYSIOLOGICAL INFORMATION ACQUISITION DEVICE, PROCESSING DEVICE, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.

METHOD AND DEVICE FOR THE TECHNICAL SUPPORT OF THE ANALYSIS OF SIGNALS ACQUIRED BY MEASUREMENT, THE SIGNALS HAVING A TIME- AND SPACE-DEPENDENT SIGNAL CHARACTERISTIC

A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M×N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple Ūt=(U1, . . . , UN)tin a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k−1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

TWO-LEAD QT INTERVAL PREDICTION

Embodiments of the present disclosure provide a mobile electrocardiogram (ECG) sensor comprising an electrode assembly comprising electrodes, wherein the electrode assembly senses heart-related signals when in contact with a body of a user, and produces electrical signals representing the sensed heart-related signals. The ECG sensor further comprises a processing device, operatively coupled to the electrode assembly, the processing device to provide the sensed heart-related signals to a machine learning module trained to predict a twelve-lead QT interval (QTc) value from the mobile ECG sensor comprising less than twelve leads. The ECG sensor also comprises a housing containing the electrode assembly and the processing device.

ADVANCED CARDIAC WAVEFORM ANALYTICS

This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

SYSTEMS AND METHODS OF QT INTERVAL ANALYSIS

Disclosed systems and method receive electrocardiogram (EKG) data of a subject. The EKG data comprises a record of at least a full beat of the subject. The EKG data is input into a machine learning model to generate an output. The output can include a segmentation of the full beat or a measurement of a QT interval of the subject.

ADVANCED CARDIAC WAVEFORM ANALYTICS

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.

Advanced cardiac waveform analytics

Systems and methods for electrocardiographic waveform analysis, data presentation and actionable alert generation are described. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis of at least a portion of the electrocardiographic waveform data can be performed to provide cardiac analytics. In instances where (1) a pathologically prolonged QT interval and (2) an R on T premature ventricular contraction and/or a ventricular tachycardia are detected from the cardiac analytics of the at least a portion of the electrocardiographic waveform data, an actionable alert can be generated and displayed with a visualization of the cardiac analytics.

Apparatus and Method for Electrocardiogram (ECG) Signal Analysis and Heart Block Detection

Systems and methods for identifying one or more P-waves in real-time are disclosed. Exemplary implementations may: receive a plurality of signals from an ECG lead configured to be connected with a patient; determine a noise level of the plurality of signals during a pre-determined time interval; identify a plurality of QRS-complex candidates from the received plurality of signals; extract one or more features from each QRS-complex candidate based on the determined noise level of the plurality of signals; cluster, based on the extracted one or more features from each QRS-complex candidate, the plurality of QRS-complex candidates; and identify one or more P-waves from the clustered plurality of QRS-complex candidates. Based on the identified one or more P-waves, a heart block event can be detected.

PHYSIOLOGICAL INFORMATION ACQUISITION DEVICE, PROCESSING DEVICE, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Long QT syndrome diagnosis and classification

A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.

Self-calibrating glucose monitor

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Cardiac signal QT interval detection

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

Methods and systems for automatically detecting events based on ECG signals determined from compressed sensed measurements

Techniques are provided for generating and processing compressed sensor data. Sensor signals can be collected using one or more sensors. The sensor signals can be compressed using a compression data structure. In some instances, the compressed signal corresponds to a sampling rate at or below the Nyquist sampling rate. The compressed signal can be compared to one or more templates. Events within the compressed signal can be detected and characterized based on the comparison.

Apparatus and a method for qt correction

A method for QT correction is provided, the method comprising receiving an ECG signal; extracting a plurality of beat-to-beat (RR) intervals; extracting a plurality of QT intervals; computing a first probability distribution for a range of QT values based on the plurality of QT intervals; computing a second probability distribution for a range of QT values based on the plurality of QT intervals and the plurality of RR intervals; solving one or more points, wherein the first probability distribution and the second probability distribution intersect or wherein a difference between the first probability distribution and the second probability distribution is below a pre-defined difference threshold; designating one of one or more QT values corresponding to the one or more points as a corrected QT interval for a given QT interval of the plurality of QT intervals.

SELF-CALIBRATING GLUCOSE MONITOR

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

AMBULATORY DETECTION OF QT PROLONGATION

Systems and methods for ambulatory detection of Q wave-to-T wave (QT) interval prolongation are discussed. A medical-device system comprises a controller circuit and a user interface device. The controller circuit includes a long QT syndrome (LQTS) detector that measures a QT interval from a subcutaneous cardiac signal sensed from a patient using implantable electrodes, and detects an indication of QT prolongation using the measured QT time interval and a programmable threshold received as a user input from the user interface. The control circuit can adjust device operation based on the detected indication of QT prolongation. An output unit can generate a programmable alert of the QT prolongation corresponding to the user input of the programmable threshold.

METHODS AND APPARATUSES FOR DETERMINING A QT INTERVAL OF AN ECG SIGNAL

HEART RATE VARIABILITY ANALYSIS IN MAMMALIANS

A system comprising at least one hardware processor; and a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to: receive, as input, a signal representing temporal beat activity in a mammalian, receive indication of user selection of an integration level of said beat rate activity, receive indication of user selection of a species of said mammalian, and determine heart rate variation (HRV) in said signal, based, at least in part, on said type of said beat rate activity and said species of said mammalian.

CARDIAC SIGNAL QT INTERVAL DETECTION

Decision rule determination method and device, equipment and storage medium

The embodiment of the invention discloses a decision rule determination method and device, equipment and a storage medium, and the method comprises the steps: obtaining sample data comprising a sub-feature combination label of a plurality of sample electrocardiosignals, the sub-feature combination label at least comprising a sub-feature threshold value of each sub-feature of a confirmed QT interval in the sample electrocardiosignals; evolutionary processing is carried out on the sub-feature threshold values by using the sample data and a preset evolutionary algorithm, and target sub-feature threshold values of all sub-features of the optimal sub-feature combination tag are determined; and performing rule construction processing according to the target sub-feature threshold, and determining a target decision rule for performing feature recognition on the QT interval in the electrocardiosignal to be recognized. Through the mode, evolutionary iteration can be performed on the sub-feature threshold ...

Cardiac signal QT interval detection

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

CARDIAC SIGNAL QT INTERVAL DETECTION

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

ESTIMATING BLOOD PRESSURE OF A SUBJECT USING AN ECG DRIVEN CARDIOVASCULAR MODEL

This disclosure relates generally to in-silico modeling of hemodynamic patterns of physiologic blood flow. Conventional cardiovascular hemodynamic models depend on neuromodulation schemes (baroreflex autoregulation) and threshold parameters of neuromodulation correlate with physical activities. Thus these models may not work practically for a large set of people due to dependency on prior knowledge of these parameters. The present disclosure enables estimating blood pressure of a subject by estimating cardiac parameters based on the morphology of ECG signal associated with the subject and hence activation delays in cardiac chambers of the in-silico model is reproduced purposefully. In accordance with the present disclosure, the blood pressure of the subject can be estimated using only the ECG signal even if the signal is missed for some time instance(s) or is noisy.

DEEP NEURAL NETWORK PRE-TRAINING METHOD FOR CLASSIFYING ELECTROCARDIOGRAM (ECG) DATA

A deep neural network pre-training method for classifying electrocardiogram (ECG) data and a device for the same are disclosed. A method for training an ECG feature extraction model may include receiving a ECG signal, extracting one or more first features related to the ECG signal by inputting the ECG signal to a rule-based feature extractor or a neural network model, extracting at least one second feature corresponding to the at least one first feature by inputting the ECG signal to an encoder, and pre-training the ECG feature extraction model by inputting the at least one second feature into at least one of a regression function and a classification function to calculate at least one output value. The pre-training of the ECG feature extraction model may include training the encoder to minimize a loss function that is determined based on the at least one output value and the at least one first feature.

Advanced cardiac waveform analytics

This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

Configuring a cardiac monitoring device

A system for configuring an ambulatory medical device includes an ambulatory medical device configured to monitor at least one electrocardiogram signal received from a patient for an occurrence of one or more cardiac events. The system also includes a remote computing device configured to receive a set of threshold values related to operation of the ambulatory medical device. The threshold values identify one or more conditions indicative of an occurrence of one or more cardiac events. The remote computing device is configured to query a master lookup table to determine a lookup code associated with the received set of threshold values, establish a communication link with the ambulatory medical device, receive an activation notification indicating that the ambulatory medical device has been activated, and encode a key. The encoded key includes the lookup code. The remote computing device is configured to transmit the encoded key to the ambulatory medical device.

ELECTRONIC DEVICE AND METHOD FOR SELECTING FEATURE OF ELECTROCARDIOGRAM

An electronic device and a method for selecting a feature of an electrocardiogram (ECG) are provided. The method includes: obtaining the ECG; performing a first pre-processing on the ECG to generate a first ECG; marking multiple extreme points corresponding to at least one type of wave on the first ECG; calculating a first feature value corresponding to a first feature according to the multiple extreme points of the at least one type of wave, generating a first performance index corresponding to a machine learning model according to the first feature value, and determining whether to select the first feature according to the first performance index; and outputting the first feature in response to selecting the first feature.

HEART GRAPHIC DISPLAY SYSTEM

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

System and method for cardiac mapping

When generating anatomical maps (e.g., anatomical geometries and/or electrophysiology maps), it can be desirable to analyze whether or not a collected data point was collected from a region of interest. During an electrophysiology study, for example, an electroanatomical mapping system collects electrophysiology data points, each including an electrogram signal. By defining both a window of interest and a window of exclusion within the electrogram signal, the electroanatomical mapping system can analyze collected data points to determine whether or not they should be included in a map. In particular, the electroanatomical mapping system can compare the electrophysiology signal within the window of interest and the window of exclusion with respect to at least one signal parameter and add the data point to the map if the comparison satisfies at least one corresponding inclusion criterion. Applicable signal parameters include maximum peak-to-peak voltage, conduction velocity, and electrogram ...

QTd-based electrocardiosignal processing method and device and storage medium

The invention relates to the technical field of medical information processing, and particularly discloses a QTd-based electrocardiosignal processing method and device and a storage medium. A plurality of groups of electrocardiosignals of a target object in different time periods and corresponding state correction coefficients are obtained, QT interval calculation and QT interval dispersion calculation are carried out on each group of electrocardiosignals, the QT interval dispersion of each group of electrocardiosignals is obtained, and the QT interval dispersion of each group of electrocardiosignals is calculated according to the QT interval dispersion of each group of electrocardiosignals and the corresponding state correction coefficients. The target QT interval dispersion is obtained through calculation, and the corresponding dispersion level is determined, so that medical staff can conveniently diagnose the heart rate of the target object according to the target QT interval dispersion ...

System for verifying a pathologic episode using an accelerometer

A system for verifying a candidate pathologic episode of a patient is provided. The system includes an accelerometer configured to be implanted in the patient, the accelerometer configured to obtain accelerometer data along at least one axis. The system also includes a memory configured to store program instructions and one or more processors. When executing the program instructions, the one or more processors are configured to obtain a biological signal and identify a candidate pathologic episode based on the biological signal, analyze the accelerometer data to identify a physical action experienced by the patient, and verify the candidate pathologic episode based on the physical action.

Self-calibrating glucose monitor

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

Heart graphic display system

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

Atrial arrhythmia episode detection in a cardiac medical device

A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Physical state monitoring method, monitoring device, monitoring equipment and medium

The invention discloses a body state monitoring method, a body state monitoring device, body state monitoring equipment and a medium. The body state monitoring method comprises the following steps: acquiring electrocardiogram information, an analog voltage value and action posture information corresponding to a user; performing noise reduction processing on the electrocardio information to obtain electrocardio waveform data; calculating R-wave peaks of the electrocardiogram waveform data according to a preset mean value algorithm to obtain a plurality of instantaneous heart rate values; performing analog-to-digital conversion on the analog voltage value to obtain a voltage value; calculating the voltage value according to a transfer function to obtain a real-time body temperature value; analyzing according to a posture change process of the action posture information to obtain current motion information of the user; and sending the monitoring information to the user terminal. The system ...

Methods and Apparatuses for Determining a QT Interval of an ECG Signal

The disclosure relates to a method for determining a QT interval of an electrocardiogram (ECG) signal comprising the steps of: determining a QT interval of an electrocardiogram (ECG) signal comprising the steps of: determining a maximum slope of the ECG signal after a T wave maximum of the ECG signal, and fixing an end of the QT interval by performing, for example, extrapolating the maximum slope to a zero line of the ECG signal.

System and a method for using a novel electrocardiographic screening algorithm for reduced left ventricular ejection fraction

A system and a method for identifying a patient with a threshold number of distinct ECG abnormalities. The system and the method include an ECG monitoring device; a server; a database; a network; a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for identifying patients with a threshold number of distinct ECG abnormalities; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: receive an ECG data output from the ECG monitoring device; process the ECG data output to identify abnormalities in the ECG data; and analyze the abnormalities in the ECG data in order to output an indication of whether the patient has depressed LVEF, wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to the network via communication links.

STORAGE MEDIUM, OUTPUT APPARATUS, AND DATA PROCESSING METHOD

A data processing method including the computer-implemented steps of: acquiring one or more pieces of fibrillation wave electrocardiogram data including fibrillation waves included in whole electrocardiogram data obtained by measuring change over time of an action potential due to electric activity of a heart muscle; inputting the one or more pieces of fibrillation wave electrocardiogram data into a first machine learning model that classifies a plurality of pieces of electrocardiogram data including the fibrillation waves into electrocardiogram data in which the fibrillation waves are clear and electrocardiogram data in which the fibrillation waves are unclear, and acquiring clear electrocardiogram data output from the first machine learning model as the electrocardiogram data in which the fibrillation waves are clear; and outputting the clear electrocardiogram data.

Electrocardiographic identification of non-ST elevation ischemic events

Disclosed herein are methods, systems, and devices for identifying increased likelihood of non-ST elevation myocardial infarction (NSTEMI) in a patient based on ECG data. The methods can include determining based on the ECG data that the patient lacks ST elevation (STE) and that the patient exhibits a ventricular repolarization dispersion (VRD) score that exceeds a predetermined threshold value. The VRD score can be based in part on a T wave complexity ratio that serves as a temporal marker of VRD for the patient. Other markers of spatial and time qualities of repolarization can also be included in the VRD score. An elevated VRD score in the absence of STE can indicate a likelihood of NSTEMI in the patient and a potential major adverse cardiac event.

ASSIGNMENT OF MR IMAGES TO CARDIAC PHASES

A method includes determining a heart beat signal during acquisition of MR images obtained at a plurality of cardiac cycles; determining at least one physiological parameter of a heart obtained at the plurality of cardiac cycles; determining a model including, determining, in each of the cardiac cycles, a variable time interval of variable duration and at least one additional time interval based on the heart beat signal and the at least one physiological parameter, the at least one additional time interval having a lower variability in duration than the variable time interval; determining a duration of the variable time interval and a duration of the cardiac cycle for each of the cardiac cycles based on the heart beat signal and the at least one physiological parameter; and assigning the MR images to the different cardiac phases based on the variable time interval and each of the cardiac cycles.

Pulse pressure variability

This document discusses, among other things, systems and methods to receive physiologic information of a patient, to receive pulse pressure information from the patient different than the received physiologic information, and to determine an indication of atrial fibrillation (AF) using the received physiologic information and the received pulse pressure information.

Premature ventricular beat detection method based on in-beat characteristic wavelet complex network

The invention discloses an intra-beat characteristic wavelet complex network-based ventricular premature beat detection method, which comprises the following steps of: firstly, carrying out denoising and QRS wave detection on an acquired electrocardiosignal through electrocardiosignal preprocessing, and carrying out cardiac beat segmentation on the preprocessed electrocardiosignal to obtain a cardiac beat signal; segmenting internal wavelets of a single cardiac beat and calculating features of each part; for the obtained feature sequence, a detrending method is adopted to eliminate regional differences of long-time-history electrocardiosignal features in different states, and tiny fluctuations are removed, so that the influence of the tiny fluctuations on subsequent sequence coding is eliminated; according to the method, coding is carried out by utilizing symbolic dynamics, an intra-beat characteristic wavelet complex network is constructed, network characteristic parameters of the complex ...

A SYSTEM AND A METHOD FOR USING A NOVEL ELECTROCARDIOGRAPHIC SCREENING ALGORITHM FOR REDUCED LEFT VENTRICULAR EJECTION FRACTION

A system and a method for identifying a patient with a threshold number of distinct ECG abnormalities. The system and the method include an ECG monitoring device; a server; a database; a network; a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for identifying patients with a threshold number of distinct ECG abnormalities; and a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: receive an ECG data output from the ECG monitoring device; process the ECG data output to identify abnormalities in the ECG data; and analyze the abnormalities in the ECG data in order to output an indication of whether the patient has depressed LVEF, wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to the network via communication links.

System and method for informing of attachment positions of ECG electrodes

Provided are a system and method for informing of attachment positions of electrocardiogram (ECG) electrodes to improve the quality of ECG data. The system includes a judgment indicator extractor configured to extract a plurality of judgment indicator values from ECG data obtained through ECG electrodes, a reference value setter configured to, in a user-specific reference value setting mode, collect the judgment indicator values for a plurality of pieces of ECG data extracted by the judgment indicator extractor and set user-specific reference values for each judgment indicator, a similarity determiner configured to, in an ECG measurement mode, determine similarity by comparing a plurality of judgment indicator values extracted by the judgment indicator extractor with the user-specific reference values, and an electrode attachment position guide configured to inform a user of attachment positions of the ECG electrodes according to a similarity determination result of each of the judgment ...

Apparatus for Early Detection of Cardiac Amyloidosis

An improved wearable device for detecting progression of Cardiac Amyloidosis based on changes in relative values of characteristics of P-wave and R-wave is disclosed. In an embodiment of the invention, two electrodes the device are connected to user's skin surface to obtain traces of ECG signals. Thereafter, correction factors are determined for the obtained traces of ECG signals. A microprocessor included in the device applies correction factors on the traces of ECG signals to obtain characteristics of P-wave and R-wave. Finally, the microprocessor determines the ratio of the characteristics (such as amplitude) of the P-wave to the characteristics (such as amplitude) of the R-wave and records said ratio. Still further, the microprocessor compares all such recorded ratios or features, to determine and display if there is disease progression.

AUTOMATIC PATTERN ACQUISITION

In one embodiment, a medical system includes respective electrodes for application to a body of a subject and to output a set of respective activation signals in response to electrical activity of a heart of the subject captured over a sequence of heartbeat intervals, and a processor to classify a first heartbeat interval of the set of activation signals as a first morphological template, compute a measure of similarity between a second heartbeat interval of the set of activation signals and the first morphological template, group the second heartbeat interval of the set of activation signals in a first morphological group with the first morphological template responsively to the measure exceeding a predefined threshold, and classify the second heartbeat interval of the set of activation signals as a second morphological template responsively to the measure not exceeding the predefined threshold, and repeat the above, mutatis mutandis, for subsequent heartbeat intervals.

System and method for establishing episode profiles of detected tachycardia episodes

A medical device and associated method sense a cardiac signal and initiate an arrhythmia episode detection process in response to the cardiac signal by enabling an arrhythmia detection counter to be adjusted during the detection process. Data is accumulated relating to cardiac events during the detection process. An arrhythmia episode profile is established using the accumulated data. The accumulated data includes a pattern of the adjustment of the detection counter during the detection process

Высокоточный многоканальный кардиоайгеноскоп

Полезная модель «Высокоточный многоканальный кардиоайгеноскоп» (ВМК) предназначена для анализа некоррелированных компонент электрокардиограмм (ЭКГ), относится к медицинским приборам, применяемым в кардиологии.Конструкция ВМК включает в свой состав блок хранения и выборки 1; высокоточный одноканальный кардиоайгеноскоп с внутренней синхронизацией 2; высокоточный одноканальный кардиоайгеноскоп с внешней синхронизацией 3, а также блок визуализации и управления 4.Объединение в предложенной конструкции двух высокоточных кардиоайгеноскопов - с внутренней синхронизацией (в качестве ведущего) и внешней синхронизацией (в качестве ведомого) - позволяет использовать сигнал синхронизации ведущего кардиоайгеноскопа для управления ведомым кардиоайгеноскопом, что обеспечивает не только повышение точности, но и уменьшает трудоемкость анализа.Высокоточный многоканальный кардиоайгеноскоп может быть реализован в виде программно-аппаратного комплекса или в виде виртуального прибора, дополняющего обычный кардиограф и имеющего с ним связь через его стандартные интерфейсы. 4 з.п. ф-лы, 11 ил. РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 185 708 U1 (51) МПК A61B 5/0452 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ПОЛЕЗНОЙ МОДЕЛИ К ПАТЕНТУ (52) СПК A61B 5/0452 (2018.08); A61B 5/02 (2018.08) (21)(22) Заявка: 2018120085, 31.05.2018 (24) Дата начала отсчета срока действия патента: 14.12.2018 Приоритет(ы): (22) Дата подачи заявки: 31.05.2018 (45) Опубликовано: 14.12.2018 Бюл. № 35 1 8 5 7 0 8 R U (56) Список документов, цитированных в отчете о поиске: RU 128470 U1, 27.05.2013. RU 178010 U1, 19.03.2018. RU 177224 U1, 13.02.2018. RU 177963 U1, 16.03.2018. US 2016022164 A1, 28.01.2016. WO 2010053661 A1, 14.05.2010. US 5092341 A1, 03.03.1992. (54) Высокоточный многоканальный кардиоайгеноскоп (57) Реферат: Полезная модель «Высокоточный внутренней синхронизацией (в качестве ведущего) многоканальный кардиоайгеноскоп» (ВМК) и внешней синхронизацией (в качестве ведомого) ...

Cpr time indicator for ventilations for a defibrillator data management system

A system is disclosed wherein patient data, such as an electrocardiogram (“ECG”) signal or a chest impedance measurement signal, collected by a defibrillator device during a resuscitation event is analyzed and processed by a computing device to provide an assessment of CPR administered during the event. The CPR assessment results in one or more CPR figures of merit that relate to temporal characteristics of the CPR relative to the duration of the event. In one embodiment, the CPR figure of merit represents a percentage of the event period during which chest compressions were administered to the patient.

Implantable systems and methods for monitoring myocardial electrical stability by detecting pvc induced t-wave alternans reversals

Embodiments of the present invention relate to implantable systems, and methods for use therewith, for assessing a patients' myocardial electrical stability. Implanted electrodes are used to obtain an electrogram (EGM) signal, which is used to identify periods when the patient experiences T-wave alternans. Additionally, the EGM signal is used to determine whether premature ventricular contractions (PVCs) cause phase reversals of the T-wave alternans. The patient's myocardial electrical stability is assessed based on whether, and in a specific embodiment the extent to which, PVCs cause phase reversals of the T-wave alternans. This abstract is not intended to be a complete description of, or limit the scope of, the invention.

Megnetic electrical connector for patient monitors

The present disclosure relates to an electrical connector for providing signal isolation between various components of a physiological monitoring system. In an embodiment, the electrical connector is placed between a sensor and associated monitoring system and includes a physical barrier and inductive components.

Method and system for identifying cardiac arrhythmia driver sites

A method of identifying potential driver sites for cardiac arrhythmias includes acquiring a plurality of electrograms from a plurality of locations on at least a portion of a patient's heart. Using the acquired electrograms, at least one electrical activity map is generated. Desirable electrical activity maps include complex fractionated electrogram standard deviation and mean maps, dominant frequency maps, peak-to-peak voltage maps, and activation sequence maps. Using one or more of these maps (e.g., by analyzing one or more electrogram morphological characteristics represented by these maps), at least one potential driver site can be detected.

In-plane dual loop fixed diameter electrophysiology catheters and methods of manufacturing therefor

An EP catheter includes a tubular body having a proximal region, a neck region, and a distal portion predisposed into an in-plane dual loop (at least, approximately, more or less) configuration and including a plurality of diagnostic electrodes. In deflectable catheter forms, at least one activation wire extends through at least a portion of the proximal region of the catheter body and is adapted to deflect the distal portion up to approximately 180 degrees relative to the proximal region. The catheter can be operated manually by a clinician or via a clinician-surrogate such as a computer processor-controlled surgical system. In addition, a variety of localization, visualization, and/or orientation-specific elements can be incorporated into the devices described, depicted, and claimed herein (e.g., metallic coil members, active impedance emitting or receiving electrodes, fluoroscopically opaque materials, and the like).

Fixed loop deflectable electrophysiology catheters having an extended braid primary shaft coupled to the periphery of the fixed loop and methods of manufacturing therefor

An EP catheter includes a tubular body having a proximal region, a neck region, and a distal portion predisposed into a single shallow helical fixed-diameter loop configuration and including a plurality of diagnostic electrodes. In deflectable catheter forms, at least one activation wire extends through at least a portion of the proximal region of the catheter body and is adapted to deflect the up to approximately 180 degrees relative to the proximal region. The catheter can be operated manually by a clinician or via a clinician-surrogate such as a computer processor-controlled surgical system. In addition, a variety of localization, visualization, and/or orientation-specific elements can be incorporated into the devices described, depicted, and claimed herein (e.g., metallic coil members, active impedance emitting or receiving electrodes, fluoroscopically opaque materials, and the like).

Method and apparatus for performing transesophageal cardiovascular procedures

An apparatus for performing a transesophageal cardiovascular procedure includes an elongated tubular main access device having a first lumen with an open proximal end and a distal side opening, and a second lumen with a rigid outer wall and a collapsible inner wall. The second lumen is adapted to receive an elongated probe or surgical device. The apparatus further includes an inflatable sealing means on the outside of the main access device above and below the side opening, and a first fluid conduit extending along the main access device for inflating the sealing means so that when the main access device is inserted into a patient's esophagus and the sealing means are inflated. The portion of the esophagus opposite the side opening is isolated from the remainder of the esophagus above and below the side opening.

Method for assessing the susceptibility of a human individual suffering from a psychiatric or neurological disorder to neuromodulation treatment

Method for assessing the susceptibility of a human individual suffering from a psychiatric or neurological disorder, in particular with depressed mood as a predominant feature, to neuromodulation treatment, in particular repetitive Transcranial Magnetic Stimulation (rTMS), the method comprising: a) Providing a dataset comprising electroencephalographic (EEG) activity and Event Related Potentials (ERP) data of said human individual; b) Assessing the susceptibility of said human individual to neuromodulation treatment based on said dataset.

Implanted device data to guide ablation therapy

A medical device system and associated method for guiding ablation therapy sense cardiac signals using implantable electrodes and detect spontaneous cardiac events from the sensed cardiac signals. Pacing pulses are delivered and a return cycle length is measured in response to the plurality of pacing pulses. The spontaneous cardiac event is clustered with a previously detected cardiac event in response to the measured return cycle length, and a targeted ablation site is estimated in response to the measured return cycle length. A transit time interval, corresponding to a distance traversed by a depolarization associated with a last one of the plurality of pacing pulses when a reset condition occurs, is computed using the return cycle length, and the ablation site is estimated in response to the computed transit time interval.

Method and device for early detection of heart attack

A device and method for heart performance characterization and abnormality detection is disclosed herein. The device and method analyze and characterize cardiac electrophysiological signals which help in the diagnosis of myocardial ischemia in advance of a heart attack.

Methods for reducing test-retest variability in tests of visual fields

The invention relates to test-retest variability in tests of visual fields, and methods and systems useful in reducing this variability. The various methods and systems of the invention use gaze-direction data to improve the estimate of scotoma edges and to otherwise adjust for test-retest variability in perimetry. This may be useful in assessing progression of a patient's condition, such as glaucoma

Magnetically guided catheters

A magnetically-guided catheter 100 includes a tip positioning magnet in the distal electrode assembly configured to interact with externally applied magnetic fields for magnetically-guided movement. A magnetically-guided mapping catheter 100 includes an electrically-conductive capsule in the form of a casing 146 that includes a distal ablation surface and isolates the positioning magnet from bio-fluids to prevent corrosion. An open irrigation ablation catheter includes an isolated manifold that isolates the positioning magnet from contact with irrigation fluid to prevent corrosion.

Systems and methods for remote monitoring of signals sensed by an implantable medical device during an mri

Systems and methods are provided for allowing an implantable medical device, such as pacemaker, to properly sense electrophysiological signals and hemodynamic signals within a patient during a magnetic resonance imaging (MRI) procedure. Systems and methods are also provided for allowing the implantable medical device to transmit the sensed data to an external monitoring system during the MRI procedure so that attending medical personnel can closely monitor the health of the patient and the operation of the implantable device during the MRI. These improvements provide the attending personnel with information needed to determine whether the MRI should be suspended in response to induced tachyarrhythmias or other adverse conditions within the patient.

Automated Caregiving Device with Prompting Based on Caregiver Progress

A device for assisting a caregiver in delivering therapy to a patient, the device comprising a user interface configured to deliver prompts to a caregiver to assist the caregiver in delivering therapy to a patient; at least one sensor configured to detect the caregiver's progress in delivering the therapy, wherein the sensor is other than an electrode in an electrical contact with the body; a memory in which a plurality of different prompts are stored; a processor configured to determine which of the different prompts should be selected for delivery based on the progress detected by the sensor.

Methods for ectopy rejection for atrial fibrillation detection based on ventricular cycle lengths

A medical device performs a method to classify a cardiac rhythm. Differences between cycle lengths in a first heart chamber are determined during an established time interval. Evidence of ectopy associated with irregular coupling intervals is detected from the signal during the established time interval. A rhythm classification output corresponding to a second heart chamber at the expiration of the established time interval is provided in response to the consecutive cycle length differences and the evidence of ectopy associated with irregular coupling intervals.

System and Method for Registration of Multiple Navigation Systems to a Common Coordinate Frame

A method of registering two or more localization systems utilizing unique coordinate frames A and B to a common coordinate frames includes measuring position information for one or more reference locations r in each coordinate frame (e.g., A r and B r ). For each reference location, a fiducial grouping is created from the respective position measurements (e.g., (A r , B r )). The fiducial groupings are used to generate a mapping functionfthat transforms position measurements expressed relative to the second coordinate frame B to the first coordinate frame A. The mapping function f is defined such that a distance between f(B r ) and A r is about zero for each reference location r. Each localization system may also measure position information for a respective fixed reference localization element. Divergence between these fixed reference localization elements in the common coordinate system may be used to monitor, signal, and correct for anomalies such as dislodgement and drift.

Methods for detection of cardiac rhythm disorders using basket style cardiac mapping catheter

A method for sensing multiple local electric voltages from endocardial surface of a heart, includes: providing a system for sensing multiple local electric voltages from endocardial surface of a heart, including: a first elongate tubular member having a lumen, a proximal end and a distal end; a basket assembly including: a plurality of flexible splines for guiding a plurality of exposed electrodes, the splines having proximal portions, distal portions and medial portions therein between, wherein the electrodes are substantially flat electrodes and are substantially unidirectionally oriented towards a direction outside of the basket.

System and method for reconstructing cardiac activation information

An example system and method of reconstructing biological activation information are disclosed. A first biological signal and a second biological signal associated with an organ are processed via a computing device to determine whether there is a point of change in a derivative of the first biological signal with respect to a derivative of the second biological signal above a threshold. An activation onset time is assigned in the first biological signal at the point of change to define biological activation associated with the organ in the first cardiac signal if it is determined that the point of change is above the threshold.

Array of Joined Microtransponders for Implantation

A wireless microtransponder array constructed as a single structure of joined microtransponders. The microtransponders can be configured as a linear array strip with connective material in between. The microtransponders can also be entirely embedded within a strip of material, or joined by a single, common substrate structure.

Devices, systems and methods to analyze evoked responses to pre-pacing pulses to predict imminent vt/vf, estimate ischemic burden and/or characterize electrical substrates

Described herein are implantable systems, and methods for use therewith, to predict whether ventricular tachycardia (VT) or ventricular fibrillation (VF) is imminent, estimate ischemic burden and/or characterize an electrical substrate of the LV chamber. For each of a plurality of cardiac cycles, a pacing vector comprising a first set of electrodes is used to deliver a pre-pacing pulse at a site within the LV chamber (wherein the pre-pacing pulse is delivered prior to an intrinsic activation of the LV chamber), and a sensing vector comprising a second set of electrodes is used to detect an evoked response to the pre-pacing pulse. The detected evoked responses to the pre-pacing pulses are analyzed, and results of the analysis are used predict whether VT or VF is imminent, estimate ischemic burden and/or characterize an electrical substrate of the LV chamber.

Devices, systems and methods to perform arrhythmia discrimination based on the atrial and ventricular activation times

Described herein are implantable systems and devices, and methods for use therewith, that can be used to perform arrhythmia discrimination based on activation times. A plurality of different sensing vectors are used to obtain a plurality of IEGMs that collectively enable electrical activations to be detected in the left atrial (LA) chamber, the right atrial (RA) chamber, and at least one ventricular chamber of a patient's heart. For each of a plurality of cardiac cycles, there is a determination, based on the plurality of obtained IEGMs, of an LA activation time, an RA activation time, and a ventricular activation time. Arrhythmia discrimination is then performed based on the determined activation times.

Methods for modeling neurological development and diagnosing a neurological impairment of a patient

One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Stimulation/sensing lead adapted for percutaneous insertion

The present invention relates to a percutaneous insertion-capable lead, wherein insertion made through a percutaneous insertion structure. For one embodiment of such lead, the electrode-supporting stimulation portion of the lead includes at least one waisted region, relative to a transverse dimension of the lead, to facilitate lead steerability.

System and method for neurocognitive training and/or neuropsychological assessment

A method of neurocognitive training or neuropsychological assessment of a subject including providing at least one initial stimulus to the subject, assessing at least one initial action of the subject in response to the at least one initial stimulus, based on the assessing the at least one initial action of the subject in response to the at least one initial stimulus, thereafter providing at least one further stimulus to the subject, assessing at least one further action of the subject in response to the at least one further stimulus and based at least on the assessing the at least one further action of the subject in response to the at least one further stimulus, thereafter providing at least one additional stimulus to the subject.

Physiological and neurobehavioral status monitoring

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

Implantable systems and methods for monitoring bnp levels, hf and mi

Methods for monitoring a patient's level of B-type natriuretic peptide (BNP), and implantable cardiac systems capable of performing such methods, are provided. A ventricle is paced for a period of time to provoke a ventricular evoked response, and a ventricular intracardiac electrogram (IEGM) indicative of the ventricular evoked response is obtained. Based on the ventricular IEGM, there is a determination of at least one ventricular evoked response metric (e.g., ventricular evoked response peak-to-peak amplitude, ventricular evoked response area and/or ventricular evoked response maximum slope), and the patient's level of BNP is monitored based on determined ventricular evoked response metric(s). Based on the monitored level's of BNP, the patients heart failure (HF) condition and/or risks and/or occurrences of certain events (e.g., an acute HF exacerbation and/or an acute myocardial infarction) can be monitored.

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.

Electrogram classification algorithm

The present disclosure is directed to the classification of cardiac episodes using an algorithm. In various examples, an episode classification algorithm evaluates electrogram signal data using a probabilistic ventricular oversensing algorithm. The algorithm may look at a plurality of factors weighing for and against a determination of ventricular oversensing. In some examples, the algorithm may also determine whether the cardiac episode includes atrial sensing issues.

Method and apparatus for performing transesophageal cardiovascular procedures

An apparatus for performing a transesophageal cardiovascular procedure includes an elongated tubular main access device having a first lumen with an open proximal end and a distal side opening, and a second lumen with a rigid outer wall and a collapsible inner wall. The second lumen is adapted to receive an elongated probe or surgical device. The apparatus further includes an inflatable sealing means on the outside of the main access device above and below the side opening, and a first fluid conduit extending along the main access device for inflating the sealing means so that when the main access device is inserted into a patient's esophagus and the sealing means are inflated. The portion of the esophagus opposite the side opening is isolated from the remainder of the esophagus above and below the side opening.

Fault-tolerant sensing in an implantable medical device

A system includes a memory and a processing module. The memory includes a primary sensing vector and N alternate sensing vectors. The processing module determines a ranking value for each of the N alternate sensing vectors. Each ranking value is indicative of the integrity of a cardiac electrical signal acquired via the corresponding alternate sensing vector. The processing module senses cardiac events using the primary sensing vector, detects a reduction in the integrity of a cardiac electrical signal acquired via the primary sensing vector, and selects one of the N alternate sensing vectors in response to detecting a reduction in the integrity of the cardiac electrical signal acquired via the primary sensing vector. The selection is based on the ranking value associated with the one of the N alternate sensing vectors. The processing module then senses cardiac events using the selected one of the N alternate sensing vectors.

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

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

Accurate time annotation of intracardiac ecg signals

A method for analyzing signals, including: sensing a time-varying intracardiac potential signal and finding a fit of the time-varying intracardiac potential signal to a predefined oscillating waveform. The method further includes estimating an annotation time of the signal responsive to the fit.

Integrative atrial fibrillation ablation

Cardiac tissue ablation is carried out by defining first regions containing first locations including ganglionated plexi in a heart of a living subject, and inserting a probe into the heart. The method is further carried out by detecting electrical activity in the heart via electrodes on the distal portion of the probe, defining second regions having second locations, wherein the electrical activity exhibits a dominant frequency that is higher than a predefined threshold, defining third regions having third locations, wherein the electrical activity exhibits complex fractionated atrial electrograms, constructing an electroanatomical map of the heart that defines intersections of the first regions and at least one of the second regions and the third regions, selecting ablation sites within the intersections, and ablating cardiac tissue at the ablation sites.

Heart Treatment Kit, System, and Method for Radiosurgically Alleviating Arrhythmia

Radiosurgical treatments of tissues of the heart mitigate arrhythmias and treat other tumerous and non-tumerous disease using an implanted fiducial positioned in or near the heart using cardiac catheterization techniques. The fiducials may be implanted after diagnostic and planning images of the target tissues have been acquired. Fiducial implantation may take place the day of a scheduled radiosurgical treatment. Techniques to accommodate post-planning fiducial implantation may include registration of the implanted fiducial location with the treatment plan, and active fiducials may limit collateral imaging radiation exposure while enhancing tracking accuracy.

Implantable defibrillator/cardioverter medical device with a dynamically adjustable threshold for ventricular detection

Methods, devices, and processor-readable storage media are provided for detecting spontaneous ventricular events in a heart using implantable medical devices. A method in this context includes applying a sensitivity function to collected data to detect occurrence of ventricular events. The sensitivity function is based on an adjustable detection threshold. The method further includes determining whether noise is suspected to be present in the data and, if so, increasing the threshold. The method further includes providing a stimulation pulse to the heart when a ventricular event has not occurred after a predetermined escape interval and, following the stimulation pulse, applying a capture test to detect whether an induced depolarization has occurred. If induced polarization is not detected, the threshold is reduced, while the threshold is maintained if induced polarization is detected.

System for Cardiac Arrhythmia Detection and Characterization

A system for analyzing cardiac electrophysiological signals includes an acquisition processor for acquiring signal data representing heart electrical activity over multiple heart cycles. An individual heart cycle comprises a signal portion between successive sequential R waves. A time interval detector uses a signal peak detector for detecting multiple successive time intervals including individual time intervals comprising a time interval between a first peak occurring in a first heart cycle and a second peak occurring in at least one of, (a) a successive sequential second heart cycle and (b) a third heart cycle successive and sequential to the second heart cycle. A data processor processes the multiple detected successive time intervals by, determining at least one interval parameter of, a mean, variance and standard deviation of the time intervals and generating an alert message in response to the interval parameter.

Enhanced medical device for use in bodily cavities, for example an atrium

Systems, methods, and devices allow intravascular or percutaneous mapping, orientation and/or ablation, in bodily cavities or lumens. A device includes elongate members, moveable between an unexpanded configuration and an expanded or fanned configuration. The elongate members form a stack in the unexpanded configuration to fit through a catheter sheath. The elongate members follow respective arcuate or curvilinear paths as advanced from the sheath into the bent or coiled stack configuration, adopting volute, scroll or rho shapes, and may be nested. The elongated members are fanned or radially spaced circumferentially with respect to one another into the expanded or fanned configuration. Transducer elements carried by elongate members sense various physiological characteristics of or proximate tissue, and/or may apply energy to or proximate tissue. The elongate members are rotatable in groups or as a group in the expanded configuration. The device is retractable.

Mri compatible conductive wires

An MRI compatible electrode circuit construct is provided. The construct includes at least three filter components constructed from a continuous or non-continuous electrode wire. One filter component may be a resonant LC filter proximate an electrode/wire interface. A second filter component may be a resonant LC filter adjacent a proximal termination of the wire construct. The filters resolve the issue of insufficient attenuation by effectively blocking the RF induced current on the wire from exiting the wire through the electrode and at the terminal or proximal end. The third filter component may include one or more non-resonant filter(s) positioned along the length of the electrode wire that resolve(s) the issue of excessive heating of the resonant LC filters by significantly attenuating the current induced on the wire before it reaches the resonant LC filters.

Mapping probe assembly with skived tube body frame

An embodiment of a mapping probe assembly includes a body frame with a lumen therein. The body frame includes a catheter shaft region, a loop section and a transition region between the catheter shaft region and a loop section. A plurality of mapping electrodes are attached around the loop section. Electrical conductors extend through the lumen of the body frame to the mapping electrodes. In some embodiments, the loop section is skived, where a portion of the body frame is removed toward the interior of the loop section. The loop section has a generally planar loop, and further has a loop center. In some embodiments, the catheter shaft has an alignment generally perpendicular to the loop section where the alignment of the catheter shaft is along a line that intersects the planar loop proximate to the loop center.

Pass-through implantable medical device delivery catheter

In one example, this disclosure is directed to a kit for intravascular implantation of an implantable medical device within a patient, the kit comprising an elongated inner sheath with a distal end, a first coupling module slidably connected to the inner sheath, an elongated outer sheath forming an inner lumen with a distal opening and a proximal opening. The outer sheath sized to traverse a vasculature of the patient. The proximal opening is configured to receive the distal end of the inner sheath. The inner lumen is sized to receive the inner sheath and to contain the implantable medical device. The kit further includes a mating coupling module that connects to the first coupling module such that the inner sheath is axially aligned with the outer sheath. The inner sheath is slidable within the outer sheath while the first coupling module is connected to the mating coupling module.

Devices, systems and methods for efficient identification of improved crt parameters

Methods, systems and devices efficiently identify cardiac resynchronization therapy (CRT) pacing parameter set(s) that provide improved hemodynamic response relative to an initial CRT pacing parameter set, wherein each CRT pacing parameter set includes at least two CRT pacing parameters. User input(s) are accepted that specify a maximum amount of time and/or parameter sets that can be used to perform testing, and specify relative importance of parameters within the sets. Based on the accepted user input(s), there is a determination of how many different variations of each of the CRT pacing parameters can be tested, and based on this determination different CRT pacing parameter sets are selected and tested to obtain a hemodynamic response measure corresponding to each of the different sets tested. Additionally, one or more of the tested CRT pacing parameter sets, if any, that provide improved hemodynamic response relative to the initial CRT pacing parameter set is/are identified.

Systems and methods for st segment stability discrimination during cardiac ischemia detection for use with implantable medical devices

Techniques are provided for discriminating episodes of cardiac ischemia indicated based on shifts in ST segment elevation from false detections due to atrial fibrillation (AF) or other confounding factors such as premature ventricular contractions (PVCs.) In an example for use with a single-chamber device, in response to a possible ischemic event, the single-chamber device assesses ventricular stability based an examination of ventricular intracardiac electrogram (IEGM) signals. If the ventricular IEGM is unstable due to paroxysmal AF or frequent PVCs, the ischemic event is rejected as a false detection. Otherwise, the device responds to the event by, for example, generating warning signals, recording diagnostic data or controlling device therapy. The stability discrimination techniques are particularly advantageous for use within single-chamber devices that lack automatic mode switching but are also beneficial within at least some dual-chamber devices or multi-chamber systems.

Enhanced medical device for use in bodily cavities, for example an atrium

Systems, methods, and devices allow intravascular or percutaneous mapping, orientation or ablation, or combinations thereof in bodily cavities or lumens. A device includes a plurality of elongate members which are moveable between an unexpanded configuration, a bent or coiled stack configuration and an expanded or fanned configuration. The elongate members form a stack arrangement in the unexpanded configuration to fit through a catheter sheath. The elongate members follow respective arcuate or curvilinear paths as advanced from the sheath into the bent or coiled stack configuration, adopting volute, scroll or rho shapes, and may be nested. The elongated members are fanned or radially spaced circumferentially with respect to one another into the expanded or fanned configuration. Transducers carried by elongate members may sense various physiological characteristics of or proximate tissue, for instance temperature, and/or may apply energy to or proximate tissue, for example to perform ablation. The device is retractable.

Implantable cardiac systems with baseline correction in response to noise detection

Implantable cardiac devices and methods of their use. A method of operation in an implantable cardiac device may include steps for characterizing detected events as noise or not noise, identifying a set of consecutive noise events or a threshold quantity of noise events in a set period of time and declaring a noisy series to have occurred. In response to the declaration of a noisy series, the method initiates a baseline correction algorithm. Devices for performing such methods are also disclosed.

Systems and methods for graphic display of st-segment deviation

Systems and methods are provided for monitoring a patient and graphically representing ST-segment deviations.

Combination for early exclusion of acute myocardial infarction

A method for ‘ruling out’ acute myocardial infarction (AMI) in a subject presenting with chest pain expected to be cardiac in nature. The method includes a) recording an Electrocardiography (ECG) reading from said subject, b) determining the amount of Heart-type Fatty acid binding protein (H-FABP) and cardiac Troponin T (cTnT) in a sample from said subject, c) comparing the results from b) to reference values for ruling out an acute Myocardial Infarction in a subject, and d) based on the results from steps a)-c) either ‘ruling out’ or ‘ruling in’ a diagnosis of acute Myocardial Infarction in said subject.

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

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

Device and method for the geometric determination of electrical dipole densities on the cardiac wall

Disclosed are devices, a systems, and methods for determining the dipole densities on heart walls. In particular, a triangularization of the heart wall is performed in which the dipole density of each of multiple regions correlate to the potential measured at various locations within the associated chamber of the heart.

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

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

Mri compatible co-radially wound lead assembly

An MRI compatible lead assembly construct is provided. The construct includes at least two filter components constructed from an electrode wire. One filter component may be a resonant LC filter at or near an electrode/wire interface that resolves the issue of insufficient attenuation by effectively blocking the RF induced current on the wire from exiting the wire through the electrode. The second filter component may include one or more non-resonant filter(s) positioned along the length of the electrode wire that resolve(s) the issue of excessive heating of the resonant LC filter by significantly attenuating the current induced on the wire before it reaches the resonant LC filter. The non-resonant filter(s) may also attenuate the RF current reflected from the resonant LC filter thereby resolving the issue of the strong reflected power from the resonant filter and the associated dielectric heating.

Method and system for on-line decision making support

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

Flexible, lightweight physiological monitor

Wearable (ambulatory) monitors of the present invention have a segmented design, with at least two and preferably three (or more) mechanically independent, spaced apart sensors (e.g., electrodes or other types of physiological sensors) located in discrete islands, or housing structures that are flexibly connected to one another. Each of the sensors is in operable communication with one or more electronics module(s), also located in one or more of the islands. In some embodiments, an electronics module may be centrally located with respect to two or more peripherally located sensors.

Heartbeat rate calculation device and method

A first calculation unit calculates the heart rate of a subject from a plurality of instantaneous heart rates by averaging processing with an IIR filter using a first coefficient. Note that the first coefficient is a numerical value less than 1, and is a fixed value. A second calculation unit calculates the heart rate of the subject from the plurality of instantaneous heart rates by averaging processing with an IIR filter using a second coefficient. The second coefficient is a numerical value less than 1, and is a variable value. A switching unit switches between the first calculation unit and the second calculation unit based on a difference between the precedingly calculated heart rate and a latest instantaneous heart rate.

An improved catheter and method of manufacture thereof

A sheath adapted for use with a catheter is disclosed comprising an electrical lead having a proximal end and a distal end and a lumen extending from the proximal end to the distal end, the electrical lead including a tubular member of non-conductive material. At least a first set of electrical conductors and a second set of electrical conductors extend from the proximal end to the distal end laid on the non-conductive tubular member, and an outer layer of non-conductive material is applied over the electrical conductors to cover the conductors. One or more electrodes are disposed on a distal portion of the sheath. Each electrode is in electrical communication with at least one of the electrical conductors through the outer layer. The first set of electrical conductors is helically wrapped around the lumen and the second set of electrical conductors is helically wrapped around the first set of electrical conductors.

Method for discriminating between ventricular and supraventricular arrhythmias

The present invention is directed toward a detection architecture for use in implantable cardiac rhythm devices. The detection architecture of the present invention provides methods and devices for discriminating between arrhythmias. Moreover, by exploiting the enhanced specificity in the origin of the identified arrhythmia, the detection architecture can better discriminate between rhythms appropriate for device therapy and those that are not.

Methods of Ventricular Arrhythmia Localization Using a 3D Heart Model

A method of arrhythmia localization and model merging includes: generating a three-dimensional (3D) heart model of a heart of a patient, the 3D heart model including myocardium wall thickness measurements of the heart; generating an activation map of the heart based on electrocardiogram (ECG) data recorded during premature ventricular contraction (PVC) of the heart, the activation map including a PVC onset point; modifying the 3D heart model to include the PVC onset point; and displaying the modified 3D heart model on a display device. 1. A method of arrhythmia localization and model merging , comprising:generating a three-dimensional (3D) heart model of a heart of a patient, the 3D heart model comprising myocardium wall thickness measurements of the heart;generating an activation map of the heart based on electrocardiogram (ECG) data recorded during premature ventricular contraction (PVC) of the heart, the activation map comprising a PVC onset point;modifying the 3D heart model to include the PVC onset point; anddisplaying the modified 3D heart model on a display device.2. The method of claim 1 , wherein the generating a 3D heart model comprises using image data of the heart generated by a magnetic resonance imaging (MRI) device or a computed tomography (CT) imaging device.3. The method of claim 2 , wherein the generating a 3D heart model further comprises:selecting a cardiac 3D reference model based on the image data; andadjusting the 3D reference model based on image data.4. The method of claim 1 , wherein generating an activation map of the heart comprises capturing the 3D image of the patient's torso including the location of ECG electrodes used to collect the ECG data.5. The method of claim 4 , wherein the generating an activation map of the heart further comprises merging the 3D image of the patient's torso with the 3D heart model to form a torso and heart model comprising positions of the ECG electrodes relative to the heart model.6. The method of claim 5 , ...

System and Method of Assessing Intra-Arterial Fluid Volume Using Intelligent Pulse Averaging With Integrated EKG and PPG Sensors

A system using combined electrocardiography (EKG) and photoplethysmography (PPG) sensing to assess intra-arterial fluid volume is described. The system uses averaging of similar pulses based on prior (n−1; n minus 1) R-to-R pulse wave duration, and prior-prior (n−2; n minus 2) R-to-R pulse wave duration, to determine a patient's fluid status and whether it is below or above optimal intravascular hydration. 1. A system for assessing intra-arterial fluid volume , comprising:(a) a device positionable against a person's skin;(b) at least one PPG sensor mounted on the device for measuring the person's PPG signal at multiple wavelengths of light;(c) a plurality of electrodes for measuring the person's EKG signal; (i) a system for identifying cardiac cycles in the EKG signal;', '(ii) a system for segmenting the PPG signal into a series of PPG signal segments based upon features in the identified cardiac cycles,', '(iii) a system for sorting the PPG signal segments into a plurality of bins based upon durations of (a) prior R-to-R cardiac cycles and (b) prior-prior R-to-R cardiac cycles,', '(iv) a system for generating a composite signal for each of the plurality of bins, and', "(v) a system for measuring a person's relative hydration level by comparing the composite signals generated from bins on the basis of the prior R-to-R cardiac cycles against the composite signals generated from bins on the basis of the prior-prior R-to-R cardiac cycles."], '(d) a computer logic system for receiving and analyzing the PPG signal and the EKG signal, wherein the computer logic system further comprises2. The system of claim 1 , wherein comparing the composite signals generated from bins on the basis of the prior R-to-R cardiac cycles against the composite signals generated from bins the basis of the prior-prior R-to-R cardiac cycles comprises:plotting a first line representing left ventricular output with arterial pulse shape as a function of prior R-to-R, the first line being based upon ...

GARMENTS FOR WEARABLE CARDIAC MONITORING AND TREATMENT DEVICES

A wearable cardiac monitoring and treatment device includes a garment, a plurality of ECG electrodes, a plurality of therapy electrodes, a therapy delivery circuit, and one or more sensors configured to monitor one or more physiological signals of the patient. The device also includes a controller configured to detect an arrhythmia condition, cause the therapy delivery circuit to deliver one or more therapeutic pulses to the patient on detecting the arrhythmia condition, detect that the garment is no longer worn about the torso of the patient prior to expiration of at least a prescribed duration of wear by detecting a loss of signal for at least a threshold period of time from one or more of the plurality of ECG sensing electrodes and/or one or more of the one or more sensors, and issue a notification that the garment is no longer worn about the torso of the patient. 165-. (canceled)66. A wearable cardiac monitoring and treatment device , comprising:a garment configured to be worn continuously about a torso of a patient for an extended period of time;a plurality of electrocardiogram (ECG) sensing electrodes supported by the garment and configured to monitor an ECG signal of the patient;a plurality of therapy electrodes supported by the garment and configured to provide one or more therapeutic pulses to the patient;a therapy delivery circuit electrically configured to deliver the one or more therapeutic pulses to the patient through the plurality of therapy electrodes;one or more sensors supported by the garment, the one or more sensors configured to monitor one or more physiological signals of the patient; and detect an arrhythmia condition of the patient based on the monitored ECG signal of the patient,', 'cause the therapy delivery circuit to deliver the one or more therapeutic pulses to the patient on detecting the arrhythmia condition, detect that the garment is no longer worn about the torso of the patient prior to expiration of at least a prescribed duration ...

BRAIN STIMULATION SYSTEM INCLUDING DIAGNOSTIC TOOL

A system for treating a patient comprises a stimulator for stimulating brain tissue, a controller for setting stimulation parameters and a diagnostic tool for measuring patient parameters and producing diagnostic data. The stimulation parameters comprise test stimulation parameters and treatment stimulation parameters. The stimulator delivers test stimulation energy to the brain tissue based on at least one test stimulation parameter and delivers treatment stimulation energy to the brain tissue based on at least one treatment stimulation parameter. One or more treatment stimulator parameters are determined based on the diagnostic data produced by the diagnostic tool The system is constructed and arranged to treat a neurological disease or a neurological disorder. Methods of treating a neurological disease or neurological disorder are also provided. 1a stimulator for stimulating brain tissue;a controller for setting stimulation parameters comprising at least one test stimulation parameter of the stimulator and at least one treatment stimulation parameter of the stimulator; anda diagnostic tool for measuring at least one patient parameter and producing diagnostic data representing the at least one measured patient parameter;wherein the stimulator is constructed and arranged to deliver test stimulation energy to the brain tissue based on the at least one test stimulation parameter and to deliver treatment stimulation energy to the brain tissue based on the at least one treatment stimulation parameter;wherein the at least one treatment stimulator parameter is determined based on the diagnostic data; andwherein the system is constructed and arranged to treat at least one of a neurological disease or a neurological disorder.. A system for treating a patient comprising: This application is a continuation of U.S. patent application Ser. No. 15/714,782, filed Sep. 25, 2017, which is a continuation of U.S. patent application Ser. No. 14/917,917, filed Apr. 8, 2016, now U.S. ...

Internet-based system for evaluating t waves within ecg waveforms to determine the presence of cardiac abnormalities

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.

ALGORITHMIC TECHNIQUES FOR DEDUCTION OF FUNCTIONAL CHARACTERISTICS OF CARDIAC TISSUE IN CARDIAC ELECTRICAL FIBRILLATION FROM A DENSELY PACKED ARRAY OF HIGH-RESOLUTION ELECTRODES

The present disclosure describes cardiac mapping techniques that find particular use in assessing fibrillation, and which also improve the ability to correctly identify local activation time from signals in any rhythm. 1. A method for cardiac mapping of a patient comprising:positioning a two-dimensional electrode array at a location in a patient's heart, wherein the two-dimensional electrode array comprises a plurality of electrodes arranged in a nonlinear configuration distributed across the array at known locations and each electrode is separated by a known distance;simultaneously detecting at least one local activation signal and activation time at each electrode of the array; andcalculating a conduction velocity (CV) vector for a first electrode of the array using the activation time of the first electrode, the activation time of a second electrode, and the activation time of at least a third electrode; thereby to construct a map of cardiac electrical activity.2. The method of claim 1 , wherein calculating further comprises:determining the activation time of the local activation signal for the first electrode, the second electrode, and the third electrode;obtaining the difference between the activation time of the first electrode and the second electrode, between the activation time of the second electrode and the third electrode, and the first electrode and the third electrode;obtaining the respective distances between each of the first, second, and third electrodes;calculating a velocity vector between each of the first, second, and third electrode; andcombining the velocity vectors.3. The method of claim 1 , wherein a CV vector is determined with respect to a group of electrodes of the array using the activation time of a first electrode and the activation times of at least two adjacent electrodes.4. The method of claim 3 , further comprising compiling an isochronal activation map comprising the two-dimensional electrode array and the CV vector for each group ...

Electrical-signal-based electrode-tissue contact detection

A method includes disposing a pair of current-application electrodes in or on a body, including disposing an intrarenal current-application electrode of the pair in a renal artery. Two or more sensing electrodes are disposed in or on the body, including disposing one of the sensing electrodes on en external surface of skin. Control circuitry is activated to (a) apply an electrical current between the pair of current-application electrodes, (b) while applying the electrical current, sense an electrical signal between the sensing electrodes, including the sensing electrode disposed on the external surface of the skin, and (c) based on the electrical signal, ascertain a level of contact between the intrarenal current-application electrode and a wall of the renal artery. In response to the level of contact being less than a threshold level of contact, a disposition of the intrarenal current-application electrode in the renal artery is adjusted.

Mapping ablation catheter

A mapping ablation catheter is provided comprising: a catheter conduit having a hollow inner space in which a guide member is disposed; a monitoring electrode unit arranged to surround the outer circumferential surface of the distal portion of the catheter conduit and perform a mapping on the lesion region by being in side-contact with a cardiac organ; an ablation electrode unit arranged to be spaced apart from the monitoring electrode unit and surround the outer circumferential surface of the distal portion of the catheter conduit and which removes the lesion region; a plurality of liquid discharge holes arranged on the outer circumferential surface of the ablation electrode; a current application unit which applies current to the monitoring electrode unit and the ablation electrode unit; and a liquid supply unit having a liquid supply tube, one end of the liquid-supply tube connected to the liquid discharge holes in the catheter conduit.

SYSTEMS AND METHODS FOR MODIFYING GEOMETRY SURFACE MODELS USING ELECTROPHYSIOLOGY MEASUREMENTS

Systems and methods for modifying a geometry surface model using electrophysiology (EP) measurements are provided. A system includes a device including at least one sensor configured to collect a set of location data points, and collect EP data at a measurement point. The system further includes a computer-based model construction system coupled to the device and configured to generate an original surface based on the set of location data points, the original surface including a plurality of corner points and a plurality of surface segments extending between the plurality of corner points, modify the original surface, based on the measurement point, to generate a modified surface, and map the EP data for the measurement point to the modified surface. 1. A system for modifying a geometry surface model using electrophysiology (EP) measurements , the system comprising: collect a set of location data points; and', 'collect EP data at a measurement point; and, 'a device comprising at least one sensor configured to generate an original surface based on the set of location data points, the original surface including a plurality of corner points and a plurality of surface segments extending between the plurality of corner points;', 'modify the original surface, based on the measurement point, to generate a modified surface; and', 'map the EP data for the measurement point to the modified surface., 'a computer-based model construction system coupled to the device and configured to2. The system of claim 1 , wherein to modify the original surface claim 1 , the computer-based model construction system is configured to modify the original surface to include the measurement point.3. The system of claim 1 , wherein to modify the original surface claim 1 , the computer-based model construction system is configured to:for each corner of the plurality of corner points, calculate a distance between the corner point and the measurement point; andmodify the original surface based on the ...

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.

AI (ARTIFICIAL INTELLIGENCE) BASED DEVICE FOR PROVIDING BRAIN INFORMATION

The present invention relates to an AI (Artificial Intelligence) based device for providing brain information comprising: a brain signal measuring portion that collects a signal related to user's brain; a brain signal stimulating portion that stimulates the user's brain for an operation of collecting a signal of the brain signal measuring portion; and a diagnosing portion that determines the user's brain state on the basis of the collected signal. 1a brain signal measuring portion that collects a signal related to user's brain;a brain signal stimulating portion that stimulates the user's brain for an operation of collecting a signal of the brain signal measuring portion; anda diagnosing portion that determines the user's brain state on the basis of the collected signal, whereinthe brain signal measuring portion comprises:a brain signal obtaining portion that irradiates near-infrared ray to the user's brain and detects light penetrating a cerebral cortex of the brain;a brain signal processing portion that determines a level of oxygenation of hemoglobin in blood flow of the user's brain on the basis of the detected light; anda brain signal analyzing portion that extract at least one brain activation area which was activated from a plurality of areas of the user's brain on the basis of the determined level of oxygenation of hemoglobin,the signal collecting operation of the brain signal measuring portion is performed in a state that the user is moving,the diagnosing portion determines the user's brain state on the basis of the at least one brain activation area extracted successively for a predetermined period of time, and further comprises:an imaging collecting portion that collects medical imaging related to the user; anda user data collecting portion that collects body information related to the user,the diagnosing portion determines the user's brain state by using the at least one brain activation area, the body information related to the user and the medical ...

Active implantable medical device for detecting a remodeling or reverse remodeling phenomenon of the patient

According to some embodiments, a device operates by comparative morphological analysis of depolarization signals collected in spontaneous rhythm on separate respective channels, with two temporal components combined into a single 2D parametric VGM vectogram characteristic. Similarity quantification methods evaluate a variation over time of a descriptor parameter of a current VGM compared to a stored previous reference VGM. This variation is compared with predetermined thresholds to diagnose an occurrence of remodeling or reverse remodeling in a patient, and/or to detect a lead failure or an occurrence of ischemia. The descriptor parameter is a function of a velocity vector of the VGM, a comparison relating to a correlation coefficient between respective magnitudes of a current VGM velocity vector and of a reference VGM velocity vector, and an average angle between these respective velocity vectors.

Active implantable medical device for the diagnosis of cardiac decompensation

The disclosure relates to a device including a plurality of electrodes for stimulation of both ventricles with application of an atrioventricular delay and of an interventricular delay, a processor configured to multidimensionally measure an interventricular conduction delay, and monitor the evolution of a patient's condition. For the multidimensional measurement of the interventricular conduction delay, the device produces stimulation of one of the ventricles and collects, in the other ventricle, two endocardial electrogram signals on separate respective channels, giving two respective temporal components. Both temporal components are combined in one single parametric 2D characteristic representative of the cardiac cycle, and a comparison is made with reference descriptors for deriving an index representative of the evolution of the patient's condition.

Portable Heart Motion Monitor

The present disclosure describes a method and device to monitor the heart of a subject using radio signals. Availability of a portable heart monitor that can be used in a subject's home can increase patient compliance and improve diagnosis rates of cardiac conditions. A mobile heart monitor can be especially useful to those subjects who are elderly, incapacitated, or do not have easy access to a clinic, doctor's office, or hospital. 1. A method of detecting an irregular heartbeat in a subject , the method comprising:a) transmitting a wavelength of electromagnetic radiation to a heart of the subject;b) detecting an electromagnetic signal reflected off the heart of the subject;c) determining based on the electromagnetic signal reflected off the heart of the subject a change in a dimension of the heart of the subject; andd) determining based on the change in the dimension of the heart of the subject whether the subject has the irregular heartbeat.2. The method of claim 1 , wherein the subject is undergoing an intervention for the irregular heartbeat claim 1 , the method further comprising determining based on the electromagnetic signal reflected off the heart of the subject whether the intervention for the irregular heartbeat has modulated the irregular heartbeat.3. The method of claim 1 , wherein the subject is undergoing an intervention for a non-irregular heartbeat condition claim 1 , the method further comprising determining based on the electromagnetic signal reflected off the heart of the subject whether the intervention for the non-irregular heartbeat condition has induced the irregular heartbeat.4. The method of claim 1 , wherein the determination whether the subject has the irregular heartbeat is determined by an analysis of a movement of a portion of the heart.5. The method of claim 1 , further comprising attaching a source of electromagnetic radiation to the subject's body.6. The method of claim 5 , wherein the source of electromagnetic radiation is attached ...

Medical-mapping device

A medical-mapping device includes an elongated electrode-support assembly having spaced-apart electrodes configured to be maneuverable, at least in part, into, and along, a confined space of a patient. The spaced-apart electrodes are configured to be selectively movable between a storage position and a deployment position.

STABLE CARDIAC SIGNAL IDENTIFICATION

Systems and methods are described herein for determining whether or not each of a plurality of cardiac signals monitored from a plurality of electrodes is stable. A dispersion signal may be generated based on the plurality of cardiac signals, and low dispersion time period may be selected within which the cardiac signals may be analyzed for stability. 1. A system comprising:electrode apparatus comprising a plurality of electrodes to monitor electrical activity from tissue of a patient; and monitor electrical activity using the plurality of electrodes to generate a plurality of cardiac signals over an analysis time period,', 'generate a dispersion signal from the plurality of cardiac signals, wherein the dispersion signal is representative of the dispersion of the plurality of cardiac signals over the analysis time period,', 'select a low dispersion time period within the analysis time period based on rate of change of the dispersion signal, and', 'determine whether each of the plurality of cardiac signals is stable based on the cardiac signal within the low dispersion time period., 'computing apparatus comprising processing circuitry and coupled to the electrode apparatus, the computing apparatus configured to2. The system of claim 1 , wherein generating a dispersion signal from the plurality of cardiac signals comprises determining a standard deviation of the plurality of cardiac signals over the analysis time period.3. The system of claim 1 , wherein selecting the low dispersion time period within the analysis time period based on rate of change of the dispersion signal comprises:determining a minimum rate of change of the dispersion signal over a sliding window within the analysis time period; andidentifying the low dispersion time period based on the determined minimum rate of change of the dispersion signal over the sliding window.4. The system of claim 3 , wherein the low dispersion time period and the sliding window are less than or equal to 200 milliseconds. ...

CONNECTION QUALITY ASSESSMENT FOR EEG ELECTRODE ARRAYS

Systems, devices, and methods are provided to assess connection quality between the electrodes of a bioelectrical signal measurement and/or electrical stimulation device and the tissue, typically skin, of the subject. A test signal is provided to a first electrode, voltage differences between the first electrode and additional electrodes are determined, an impedance of the first electrode is determined based on the voltages differences, and the determined impedance indicates connection quality. This process is typically repeated for all of the electrodes to determine connection quality. The user or subject can be alerted if the connection quality is poor, and the bioelectrical signal that is recorded can be provided with data points indicating connection quality during the signal recording. 1(a) providing an electrical sensor or stimulator comprising a plurality of electrodes;(b) contacting the plurality of electrodes to tissue of a subject;(c) providing a test signal to the tissue of the subject through a first electrode of the plurality of electrodes;(d) determining, with a processor coupled to the plurality of electrodes, a voltage difference between the first electrode and only one other electrode of the plurality of electrodes in response to the test signal, wherein the voltage difference is determined with neither the first electrode nor the only one other electrode being a common ground or a common reference electrode;(e) determining, with a processor coupled to the plurality of electrodes, an impedance of the first electrode in response to the determined voltage difference between the first electrode and the only one other electrode of the plurality of electrodes;(f) repeating steps (d) and (e) for the first electrode and other electrodes of the plurality of electrodes; and(g) notifying, with an output device coupled to the processor, one or more of the subject or a user that connection quality of the first electrode is poor if the determined impedance of ...

Pacing therapy selection for heart failure treatment

A method for heart failure management includes monitoring one or more sensor-based parameters for a patient to determine a pacing therapy. If the one or more parameters indicate atrial tachycardia or atrial fibrillation, a first pacing therapy is delivered. If the one or more parameters do not indicate atrial tachycardia or atrial fibrillation, it is determined whether the patient is asleep. If the patient is asleep, a second pacing therapy is delivered. If the one or more parameters do not indicate atrial tachycardia, atrial fibrillation, or that the patient is asleep, the patient's P-wave duration is evaluated with respect to a P-wave duration threshold value. When the patient's P-wave duration is determined to exceed the P-wave duration threshold value, a third pacing therapy is delivered, and when the patient's P-wave duration is determined to not exceed the P-wave duration threshold value, a fourth pacing therapy is delivered.

CARDIAC CONDUCTION SYSTEM EVALUATION

Systems, interfaces, and methods are described herein related to the evaluation of a patient's cardiac conduction system and evaluation of cardiac conduction system pacing therapy being delivered to the patient's cardiac conduction system. Evaluation of the patient's cardiac conduction system may utilize a plurality of breakthrough maps to determine where a cardiac conduction system block may be located. Evaluation of cardiac conduction system pacing therapy may utilize various electrical heterogeneity information monitored before and during delivery of cardiac conduction system pacing therapy. 1. A system comprising:an electrode apparatus comprising a plurality of external electrodes to be disposed proximate a patient's skin; and monitor intrinsic electrical activity of the patient using the plurality of external electrodes of the electrode apparatus,', 'generate a plurality of cardiac breakthrough maps based on the monitored intrinsic activity over a time period, wherein each cardiac breakthrough map is a spatial representation of electrocardiographic potential; and', 'determine a cardiac conduction system block location based on the plurality of generated cardiac breakthrough maps., 'a computing apparatus comprising processing circuitry and operably coupled to the electrode apparatus, the computing apparatus configured to2. The system of claim 1 , wherein each of the plurality of cardiac breakthrough maps are generated according to a sampling interval following QRS onset of a single heartbeat.3. The system of claim 2 , wherein the sampling interval is less than or equal to 5 milliseconds.4. The system of claim 1 , wherein determining the cardiac conduction system block location based on the generated cardiac breakthrough maps comprises determining a spatial location of a breakthrough within the plurality of cardiac breakthrough maps where the cardiac potential is less than or equal to a breakthrough threshold.5. The system of claim 4 , wherein the breakthrough ...

WEARABLE CARDIOVERTER DEFIBRILLATOR (WCD) WITH LOW FALSE ALARM RATE

A wearable cardioverter defibrillator (WCD) comprises a plurality of electrocardiography (ECG) electrodes, a right-leg drive (RLD) electrode, and a plurality of defibrillator electrodes to contact the patient's skin when the WCD is delivering therapy to the patient, a preamplifier coupled to the ECG electrodes and the RLD electrode to obtain ECG data from the patient as one or more ECG vectors, a processor to receive ECG data from the preamplifier and an abort signal from a user interface, an isolation barrier to isolate the preamplifier from the processor, and a high voltage subsystem to provide a defibrillation voltage to the patient through the defibrillator electrodes in response to a shock signal received from the processor. A shock is provided when an abort signal is not received within a predetermined time period of a shock criterion being met. Less than one false alarm occurs every ten patient-days. 112-. (canceled)13. A method to determine whether a defibrillation shock should be applied with a wearable cardioverter defibrillator (WCD) , the method comprising:receiving electrocardiography (ECG) data from a patient using the WCD with a preamplifier coupled to one or more ECG electrodes and a right-leg drive (RLD) electrode coupled to the patient's skin to obtain ECG data from the patient as one or more ECG vectors;receiving ECG data from the preamplifier with a processor;determining with the processor if a shock criterion is met based on a combination of heart rate data and a width of one or more QRS pulses identified in the ECG data;signaling the patient that the defibrillation shock is about to be applied; andapplying the defibrillation shock to the patient unless a stop shock signal is caused by the patient within a predetermined period of time after signaling the patient;wherein the processor is to determine when a shock criterion is met based on the ECG data from the preamplifier, and to provide the defibrillation shock in the event the shock criterion ...

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.

Multi-chamber intracardiac pacing system

The control module of a first pacemaker included in an implantable medical device system including the first pacemaker and a second pacemaker is configured to set a pacing escape interval in response to a far field pacing pulse sensed by the first pacemaker. The far field pacing pulse is a pacing pulse delivered by the second pacemaker. The pacing escape interval is allowed to continue without restarting the in response to a far field intrinsic event sensed by the first pacemaker during the pacing escape interval. The first pacemaker delivers a cardiac pacing pulse to the heart upon expiration of the pacing escape interval.

AUTOMATICALLY IDENTIFYING SCAR AREAS WITHIN ORGANIC TISSUE USING MULTIPLE IMAGING MODALITIES

A method and apparatus for implementing scar tissue identification using a processor coupled to a memory is disclosed. The method and apparatus receive a first modality and a second modality. The first modality is of a first type. The second modality is of a second type, which is different from the first type. Each of the first modality and the second modality respectively describe organic tissue of a patient according to the first and second types. The method and apparatus cross reference the first modality and the second modality and generates improved image data for the first modality based on the cross referencing. The image data includes enhanced accuracy over or higher resolution than original data of the first modality. 1. A method comprising:receiving, by a scar tissue identifier executed by a processor coupled to a memory, a first modality and a second modality, the first modality being of a first type, the second modality being of a second type that is different from the first type, each of the first modality and the second modality respectively describing organic tissue of a patient according to the first and second types;cross referencing, by the scar tissue identifier, the first modality and the second modality; andgenerating, by the scar tissue identifier, improved image data for the first modality based on the cross referencing, the improved image data comprising enhanced accuracy over or higher resolution than original data of the first modality.2. The method of claim 1 , wherein the scar tissue identifier generates a hybrid modality utilizing reciprocal improvements of the first modality and second modality.3. The method of claim 1 , wherein the scar tissue identifier is configured to utilize the improved image data to automatically identify scar areas within the organic tissue.4. The method of claim 1 , wherein the scar tissue identifier is configured to generate the improved image data by utilizing imaging processing to adjust and interpret 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.

System and method to define drivers of sources associated with biological rhythm disorders

A system and method are provided for identifying a driver of a source associated with a heart rhythm disorder. Data are accessed from a plurality of sensors representing biological activity in the heart. A local first region of the heart that has repeating activation and determine whether the first region controls a second distant region of the heart for at least a predetermined number of beats is identified. The first local region is assigned as a driver of a source of the heart rhythm disorder, the source including the first local region and the second distant region.

IDENTIFYING DIFFERENCES BETWEEN PHYSIOLOGICALLY-IDENTIFIED SIGNIFICANT PORTIONS OF A TARGET AND MACHINE-IDENTIFIED SIGNIFICANT PORTIONS

An example system includes an analysis engine to detect a first set of significant portions of a target. The system includes an event engine to detect a set of potential events in a physiological signal and identify a second set of significant portions of the target based on the set of potential events. The system includes a comparison engine to identify a difference between the first set of significant portions and the second set of significant portions. 1. A system comprising:an analysis engine to detect a first set of significant portions of a target; detect a set of potential events in a physiological signal, and', 'identify a second set of significant portions of the target based on the set of potential events; and, 'an event engine toa comparison engine to identify a difference between the first set of significant portions and the second set of significant portions.2. The system of claim 1 , further comprising an input engine to measure the physiological signal claim 1 , to measure eye tracking data claim 1 , and to receive a set of user-indicated significant portions claim 1 , wherein the event engine is to compare the eye tracking data to the set of potential events to identify the second set of significant portions claim 1 , and wherein the comparison engine is to further compare the set of user-indicated significant portions to the first set of significant portions and the second set of significant portions.3. The system of claim 1 , wherein the target is selected from the group consisting of an image claim 1 , a three-dimensional scene claim 1 , an audio signal claim 1 , and a touch target.4. The system of claim 1 , further comprising an output engine to generate an indication of the difference between the first set of significant portions and the second set of significant portions and to cause the indication to be provided to a user.5. The system of claim 1 , wherein the first set of significant portions or the second set of significant portions is an ...

Calibration method for critical point of mental fatigue based on self-organized criticality

The present invention belongs to the technical field of processing and analysis of biomedical signals, and provides a calibration method for the critical point of mental fatigue based on self-organized criticality. It constructs a self-organized criticality model by using the dynamic characteristics of a brain network, and deduces the avalanche dynamics of mental fatigue, which is consistent with the internal mechanism of evolution of fatigue complexity. The critical state of calibration is dynamically stable and robust. Through the verification of the behavior data, the reliability of the critical state of mental fatigue determined from physiological and behavioral dimensions is high, providing support for the setting of the fatigue category labels to complete more accurate classification and recognition.

REDUCING ELECTROCARDIOGRAM ARTIFACTS DURING AND POST CPR

A portable medical device having improved ECG trace display and reporting. Embodiments implement features to ameliorate artifacts created by virtue of attempting to eliminate compression artifacts due to mechanical compression devices. Other embodiments additionally implement features to seek to detect the occurrence of ROSC while chest compressions are ongoing. 120-. (canceled)21. An external defibrillator , comprising:a circuit configured to detect an electrocardiogram (ECG) of an individual receiving chest compressions; and remove a first chest compression artifact from data representative of the ECG;', 'in response to removing the first chest compression artifact from the data representative of the ECG, identify QRS complexes in the data representative of the ECG;', 'remove a second chest compression artifact from data representative of a physiological parameter of the individual receiving the chest compressions;', 'in response to removing the second chest compression artifact from the data representative of the physiological parameter, identify segments of the data representative of the physiological parameter that are temporally aligned with the QRS complexes;', 'detect blood flow in the individual by analyzing the segments of the data representative of the physiological parameter; and', 'in response to detecting the blood flow, output an instruction to cease the chest compressions., 'a processor configured to22. The external defibrillator of claim 21 , further comprising:electrodes coupled to the circuit and configured to receive, from the heart of the individual, an electrical signal indicative of the ECG; anda sensor configured to detect the physiological parameter.23. The external defibrillator of claim 21 , further comprising:a screen or a speaker configured to output the instruction to cease the chest compressions.24. The external defibrillator of claim 21 , further comprising:a transceiver configured to transmit, to a mechanical chest compression device ...

MEDICAL DEVICE AND METHOD FOR PREDICTING CARDIAC EVENT SENSING BASED ON SENSING CONTROL PARAMETERS

A medical device is configured to receive sensed cardiac event data including a value of a feature determined from each one of a plurality of cardiac events sensed from a cardiac signal according to a first setting of a sensing control parameter. The medical device is configured to classify each value of the feature of each one of the sensed cardiac events as either a predicted sensed event or a predicted undersensed event according to a second setting of the sensing control parameter that is less sensitive to sensing cardiac events than the first setting. The medical device is configured to determine a predicted sensed event interval between each consecutive pair of the predicted sensed events and predict that an arrhythmia is detected or not detected based on the predicted sensed event intervals. 1. A medical device comprising: receive sensed cardiac event data comprising a value of a first feature determined from each one of a plurality of cardiac events sensed from a cardiac signal according to a first setting of a sensing control parameter;', 'classify each value of the first feature of each one of the plurality of cardiac events as one of a predicted sensed event or a predicted undersensed event according to a second setting of the sensing control parameter, the second setting being less sensitive to sensing cardiac events than the first setting;', 'determine a predicted sensed event interval between each consecutive pair of the predicted sensed events;', 'predict that an arrhythmia is detected or not detected based on the predicted sensed event intervals; and', 'generate an output based on the arrhythmia detection prediction associated with the second setting of the sensing control parameter., 'a processor configured to2. The medical device of claim 1 , wherein the processor is configured to classify each value of the first feature of each one of the plurality of cardiac events by;determining a predicted value of a sensing threshold based on at least the ...

SYSTEM AND METHOD TO DETECT AND IDENTIFY CARDIAC PACE-MAPPING SITES AND PACING MANEUVERS

Systems and methods are disclosed for generating a pace-mapping prediction model. Techniques are provided that utilize a training dataset associated with biometrics of patients' hearts, including electrophysiological data associated with cardiac arrhythmia, pace-mapping datasets, and correlation data measuring the degree of correlation between the pace-mapping datasets and the electrophysiological data. Based on the training dataset, the pace-mapping prediction model is trained to predict a degree of correlation between a patient's electrophysiological data and a pace-mapping dataset. Based on the predicted degree of correlation, a cardiac location in the heart of a patient is predicted as the location for the next pace-mapping. Further systems and methods are disclosed for generating a pacing maneuver prediction model. The pacing maneuver prediction model is trained to predict interval measurement based on a pacing maneuver obtained during cardiac pace-mapping. 1. A method for training a pace-mapping prediction model , the method comprising: electrophysiological data associated with a cardiac arrhythmia in the patient,', "pace-mapping datasets, each dataset is obtained from an electrode when positioned at a cardiac location in the patient's heart, and", 'correlation data, measuring a degree of correlation between each of the pace-mapping datasets and the electrophysiological data; and, "receiving a training dataset associated with patients' hearts, for each patient the training dataset comprises:"}training, based on the training dataset, the pace-mapping prediction model to predict a degree of correlation between electrophysiological data and pace-mapping dataset associated with a new patient.2. The method of claim 1 , further comprising claim 1 , during a pace-mapping procedure of the heart of a new patient: electrophysiological data associated with a cardiac arrhythmia in the new patient, and', 'a pace-mapping dataset, obtained from an electrode when positioned ...

Physician's programmer with st-segment histogram display capability

A physician's programmer for an implantable device is disclosed. The programmer includes a receiver for receiving wireless transmission data from the implantable heart monitor. A processor is configured to extract from the wireless transmission data ST-deviation histogram data as a function of heart rate. The histogram data for a particular heart rate range is shown on a display in the form of a bar chart. The histogram data for a plurality of heart rate ranges is shown in the form of a chart with multiple line plots.

System and method for electrocardiogram analysis and optimization of cardiopulmonary resuscitation and therapy delivery

The system and method provide for electrocardiogram analysis and optimization of patient-customized cardiopulmonary resuscitation and therapy delivery. An external medical device includes a housing and a processor within the housing. The processor can be configured to receive an input signal for a patient receiving chest compressions and to select at least one filter mechanism and to apply the filter mechanism to the signal to at least substantially remove chest compression artifacts from the signal. A real time dynamic analysis of a cardiac rhythm is applied to adjust and integrate CPR prompting of a medical device. Real-time cardiac rhythm quality is facilitated using a rhythm assessment meter.

Methods and systems for improved prediction of fluid responsiveness

The present disclosure provides systems and methods for predicting fluid responsiveness. Embodiments include sensors configured to obtain a high-resolution electrocardiogram signal and a computer system connected to the sensors, the computer system including a memory, a processor, and a display device. Computer system may be configured to receive the electrocardiogram signal from the sensors. Processor may be configured to detect and process changes in at least one of length, amplitude, slope, area, depth, and height of at least one of P, Q, R, S, T, and U complex of the electrocardiogram signal caused by the influence of physiological variables on each other to create a prognostic index. Processor may be further configured to analyze, quantify, and combine the prognostic index of the changes in the electrocardiogram signal and generate a fluid responsiveness prediction. Display device may display the results of the fluid responsiveness prediction.

Driving assistance device, driving assistance method, information-providing device, information-providing method, navigation device and navigation method

A heartbeat sensor obtains a heartbeat of a driver. A concentration level computing unit estimates a concentration level of the driver at a time later than a timing of obtaining the heartbeat by the heartbeat sensor, on the basis of the heartbeat obtained by the heartbeat sensor. A state determining unit controls driving assistance for a vehicle on the basis of a comparison of the concentration level of the driver estimated by the concentration level computing unit with a target concentration level of the driver that is set in association with a position or an environment in which the vehicle driven by the driver is predicted to travel.

Systems and methods for variable filter adjustment by heart rate metric feedback

A physiological signal processing system for a physiological waveform that includes a cardiovascular signal component provides a variable high pass filter that is responsive to the physiological waveform, and that is configured to high pass filter the physiological waveform in response to a corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filter and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequency that is applied to the variable high pass filter, based on the heart rate metric that was extracted. Analogous methods may also be provided.

Catheter system

A manipulable portion of a catheter system advances out of a lumen of a catheter sheath at a distal end of a shaft, which is also within the lumen of the catheter sheath. The catheter system causes different advancement and retraction trajectories of a manipulable portion out of and into the lumen based at least upon different relative movements between the catheter sheath and the shaft. A projection and a corresponding receiver may be used to control relative positioning of the catheter sheath and the shaft, as well as to control positioning of the manipulable portion. The catheter system may control metering rates of a control element coupled to the manipulable portion during advancement and retraction of the manipulable portion. A control element of the catheter system has varying amounts of length outside a distal end of the catheter sheath during advancement and retraction of the manipulable portion.

NEURAL NETWORKS FOR ATRIAL FIBRILLATION SCREENING

Systems, methods, devices, and other techniques for processing an ECG recording to assess a condition of a mammal. Assessing the condition of the mammal can include screening for atrial fibrillation, and screening for atrial fibrillation can include obtaining a first neural network input, the first neural network input representing an electrocardiogram (ECG) recording of the mammal, and processing the first neural network input with a neural network to generate an atrial fibrillation prediction for the mammal 1. A method for screening for atrial fibrillation , comprising:obtaining a first neural network input, the first neural network input representing an electrocardiogram (ECG) recording of a mammal; andprocessing the first neural network input with a neural network to generate an atrial fibrillation prediction for the mammal2. The method of claim 1 , wherein the ECG recording represented by the first neural network input describes a normal sinus rhythm for the mammal claim 1 , and the neural network generates the atrial fibrillation prediction for the mammal based on features of the mammal's normal sinus rhythm as indicated by the ECG recording.3. The method of claim 1 , wherein the ECG recording represented by the first neural network input spans a time interval that is less than or equal to thirty seconds claim 1 , fifteen seconds claim 1 , ten seconds claim 1 , or five seconds.4. The method of claim 1 , wherein the ECG recording represented by the first neural network input spans a time interval that is less than or equal to ten minutes claim 1 , five minutes claim 1 , one minute claim 1 , or forty-five seconds.5. The method of claim 1 , wherein the mammal is a human.6. The method of claim 1 ,wherein the neural network comprises at least one of a feedforward portion claim 1 , a convolutional portion claim 1 , a recurrent portion claim 1 , or a capsule portion.7. The method of claim 1 , wherein the ECG recording of the mammal comprises a 12-lead ECG recording.8 ...

CATHETER FOR CARDIAC AND RENAL NERVE SENSING AND MEDIATION

An electrophysiology catheter includes: a catheter with a movable catheter tip; electrodes provided on or in an electrode region in a most distal portion of the catheter tip; sensing and amplification circuitry communicated with the electrodes, the sensing and amplification circuitry communicated with digitizing circuitry disposed in a circuitry region in a least distal portion of the catheter tip for locally sensing tissue-based electrophysiological signals and for bidirectionally communicating digital data signals to and from the circuitry; a flexible bending region of the catheter tip between the most and least distal portions of the catheter tip; a flexible sheath communicated to the sensing and amplification circuitry and digitizing circuitry for transmission of signals thereon; and a handle communicated with the sheath for bidirectionally communicating signals through the sheath between the catheter tip and external mapping station, and for controlling movement of the catheter tip. 1. An electrophysiology catheter for combination with an external mapping station comprising:a catheter with a movable catheter tip;one or more electrodes provided on or in an electrode region in a most distal portion of the catheter tip;sensing and amplification circuitry communicated with the one or more electrodes, the sensing and amplification circuitry communicated with digitizing circuitry disposed in a circuitry region in a least distal portion of the catheter tip for locally sensing tissue-based electrophysiological signals and for bidirectionally communicating digital data signals to and from the sensing and amplification and digital circuitry; a flexible bending region of the catheter tip between the most and least distal portions of the catheter tip;a flexible sheath communicated to the sensing and amplification circuitry and digitizing circuitry for transmission of signals thereon; anda handle communicated with the sheath for bidirectionally communicating signals through ...

Applying Bipolar Ablation Energy Between Shorted Electrode Groups

A system includes a catheter, a switching assembly, and a processor. The catheter including an expandable frame, which is coupled to a distal end of the catheter, and multiple electrodes, which are disposed on the expandable frame in a radial geometry. The switching assembly is electrically connected to the catheter, and is configured to electrically short between selected ones of the electrodes. The processor is configured, for first and second disjoint groups of the electrodes, to control the switching assembly to electrically short the electrodes within each of the first and second groups, for applying one or more bipolar ablation energy between the first and second groups when the electrodes are placed in contact with a target tissue of the organ.

Reducing false alarms in cardiac monitoring devices

An apparatus comprises an arrhythmia detection circuit configured to: receive a cardiac signal representative of cardiac activity of a subject; apply a first arrhythmia detection criteria to the received cardiac signal; apply, in response to the applied first arrhythmia detection criteria producing a positive indication of arrhythmia, a second arrhythmia detection criteria to the received cardiac signal, wherein the second arrhythmia detection criteria is more specific to detection of arrhythmia than the first detection criteria; detect, in response to the applied first and second arrhythmia detection criteria, a sensing event indicating one or both of the first and second arrhythmia detection criteria are susceptible to false indications of arrhythmia; and adjust, in response to a detected sensing event, sensitivity or specificity of one or both of the first and second arrhythmia detection criteria.

Wearable environmental interaction unit

A wearable environmental interaction unit may include a plurality of sensors each being configured to provide an output indicative of at least one physiological aspect of an individual; a transmitter to establish a wireless communication path between the wearable environmental interaction unit and at least one environmental response unit located remotely with respect to the wearable environmental interaction unit; and a microcontroller. The microcontroller may be programmed to: analyze the outputs provided by the plurality of sensors; determine a state of being for the individual based on the outputs of the plurality of sensors; generate an environmental interaction control signal based on the determined state of being for the individual; and cause the transmitter to transmit the environmental interaction control signal to the at least one environmental response unit via the wireless communication path, the environmental interaction control signal being configured to cause a response by the environmental response unit including at least one change in an environmental condition.