79 results about "Heart electrical activity" patented technology

Systems and methods are provided herein for monitoring electrical activity in ex vivo, resting donor organs. Systems and methods provided herein also include providing electrical stimulation to the donor tissue to maintain or increase viability during storage or transport. Donor organs can include ex vivo, resting hearts. Electrical activity can be used to determine donor organ viability, especially in instances where visual evaluation of a beating heart is not possible. The same electrodes or other sensing devices used to measure electrical activity can be used to apply a voltage / current to the tissue as well in order to maintain viability of the organ. In some embodiments, stimulation or depression may be provided in response to the measured electrical activity.

The invention relates to the technical field of health status assessment, in particular to a cardiovascular disease layered early warning system, which is characterized in that blood vessel compliance and pulse wave velocity are extracted, arterial dilation capacity is measured, blood vessel elasticity is calculated, blood perfusion distribution is detected, and abnormal vasoconstriction is classified on the basis of a hemodynamic state and a heart electrical activity state; in combination with the thickness of the blood vessel wall and the blood vessel stenosis rate, the plaque deposition condition is analyzed, the arteriosclerosis score is calculated, the thrombosis tendency is detected, the local blood flow blocking degree is quantified, the isolation forest algorithm is adopted, the blood flow dynamic change is calculated, the heart rhythm abnormality is analyzed, the acute vascular occlusion probability is measured, and the sudden heart rhythm abnormality risk is evaluated. And based on a gradient boosting tree algorithm, screening high-risk cases, matching medical intervention measures, setting a risk buffer mechanism, adjusting an individual health management strategy, and optimizing a cardiovascular risk hierarchical early warning system.

A system includes a magnetocardiography (MCG) subsystem having a plurality of magnetometers. The system measures, via the MCG subsystem using the plurality of magnetometers, MCG data comprising biomagnetic field signals from a human subject. the system receives, from one or more ECG electrodes that are physically coupled to the human subject, ECG data comprising cardiac electrical activity of a heart of the human subject. The system determines location information of the one or more electrodes that are mounted on the human subject. In some embodiments, the system enhances the measured MCG data and / or the received ECG data according to determined location information of the one or more electrodes.

A wearable electronic device for cardiac electrical activity monitoring includes a housing configured to be worn around a first body part of a user, the housing having an inward-facing surface that faces the first body part and an outward-facing surface that faces away from the first body part. The device includes a plurality of electrodes, including at least one inner electrode at the inward-facing surface of the housing for contacting the first body part. The plurality of electrodes also includes multiple outer electrodes at the outward-facing surface of the housing for contacting one or more other parts of a body of the user. The device includes a controller configured to generate a cardiac electrical activity signal using a pair of electrodes selected from the plurality of electrodes based on at least one indicia of contact between an electrode of the pair of electrodes and the user.

Described herein are apparatuses and methods to detect tachycardias and selectively reject false tachycardia detections due to T-wave oversensing or noise. An apparatus includes electrodes, a sensing circuit coupled to at least two of the electrodes and configured to sense a signal indicative of cardiac electrical activity, and a smoothing filter configured to filter to the sensed signal indicative of cardiac electrical activity to thereby produce a filtered signal indicative of cardiac electrical activity. The apparatus produces a difference signal indicative of cardiac electrical activity by determining a difference between the sensed and filtered signals indicative of cardiac electrical activity. The apparatus also includes at least one processor configured to detect a tachycardia, or to determine whether or not to reject a tachycardia detection, based on the difference signal. The smoothing filter and / or difference circuitry can be implemented by the at least one processor, and / or other circuitry.

A device comprising interconnected components for deoxygenating blood used in the treatment and prevention of reperfusion injury, including a configuration to reduce the ionized calcium concentration of the deoxygenated blood to less than 0.5 mmol / L. The components may include a syringe pump operably communicating with various configurations via a control unit / processor, a cannula, a pump communicating with the cannula, a heat exchanger, a device for generating / creating fluid flow, an infusion port, a mixing port, a device hub, and a catheter hub. These components are selectively connected to a subject, and monitoring and / or other lead wires / devices may be attached to the subject. The lead wires / devices may include sensors and other devices that can be attached to / connected to the subject, providing health indicators, such as a temperature sensor, electrodes for monitoring cardiac electrical activity, and an oxygen saturation (SpO2) sensor for monitoring the patient's blood oxygen saturation.

Methods, systems, computer-readable media, and apparatuses for obtaining at least one bodily function measurement are presented. A mobile device includes an outer body sized to be portable for user, a processor contained within the outer body, and a plurality of sensors physically coupled to the outer body. The sensors are configured to obtain a first measurement indicative of blood volume and a second measurement indicative of heart electrical activity in response to a user action. A blood pressure measurement is determined based on the first measurement and the second measurement. The sensors also include electrodes where a portion of a user's body positioned between the electrodes completes a circuit and a measurement to provide at least one measure of impedance associated with the user's body. A hydration level measurement is determined based on the measure of impedance.

The invention relates to the technical field of medical surgical instruments, in particular to a flexible multichannel heart mapping electrode for heart transfer and a construction method.The mapping electrode comprises a flexible substrate, a plurality of electrodes and a packaging layer, the flexible substrate is provided with a plurality of branches, the fixed ends of all the branches are connected with a common part, and the fixed ends of all the branches are connected with the packaging layer; the plurality of electrode arrays are arranged on one surface, in contact with the heart, of each branch and are used for measuring the potential of the heart, and the flexible substrate is made of a biocompatible flexible insulating material, so that each branch can be adsorbed by the surface tension of body fluid on the outer surface of the heart, the stimulation and damage to heart tissues are reduced, and the measurement accuracy is improved. Meanwhile, the electrode can be more accurately attached to the surface of the heart, the electric potential of the heart is accurately measured, and the mapping accuracy of the electrical activity of the heart is greatly improved.

The present invention relates to a method for detecting an abnormality in the central nervous system, wherein the presence of an abnormality in the central nervous system is determined on the basis of probabilities generated by at least two models. The present invention relates to a method for detecting an abnormality in the central nervous system, wherein the presence of an abnormality in the central nervous system is determined on the basis of probabilities generated by at least two models. The method comprises the steps of: obtaining a first signal reflecting electrical activity of a heart; generating a second signal reflecting at least some characteristics of the first signal; determining at least two first probabilities of detecting an abnormality in the central nervous system from the second signal by using at least two models, respectively; and calculating a second probability of detecting an abnormality in the central nervous system on the basis of the at least two first probabilities of detecting an abnormality in the central nervous system.

A solution for estimating a cardiac pre-ejection period is disclosed. According to an aspect, a method includes: measuring, from a user by using a plurality of cardiac sensor devices, electrocardiogram measurement data, a first set of cardiac measurement data measured at a first location of the user's body a first distance from the user's heart, and a second set of cardiac measurement data measured at a second location of the user's body a second distance from the heart, the second distance different from the first distance, wherein the electrocardiogram measurement data is clock-synchronized with the first set of cardiac measurement data and second set of cardiac measurement data; determining, in the electrocardiogram measurement data, a first set of time instants associated with electric heart activations; determining, in the first set of cardiac measurement data, a second set of time instants associated with detections of blood pulses at the first location, the blood pulses resulting from the electric heart activations; determining, in the second set of cardiac measurement data, a third set of time instants associated with detections of the blood pulses at the second location; forming a set of scatter points on the basis of at least the second set of time instants and the third set of time instants and performing a fitting for the scatter points; and computing the cardiac pre-ejection period from at least one parameter describing the fitting.

Described herein are implantable medical devices and systems, and methods for use therewith, for reducing T-wave oversensing and arrythmia undersensing that occur due to inappropriate filtering of a signal indicative of cardiac electrical activity. A method includes obtaining a signal indicative of cardiac electrical activity, and using a first bandpass filter to produce a first filtered version thereof, using a second bandpass filter to produce a second filtered version thereof, wherein the first bandpass filter passes frequencies within a first frequency range, and the second bandpass filter passes frequencies within a second frequency range that is wider than the first frequency range. The method also includes selectively changing from using the first filtered version of the signal to monitor for a VS event, to using the second filtered version of the signal to monitor for a VS event, based on first criteria, and vice versa, based on second criteria.

1. Name of the designed product: dry electrode. 2. Use of the designed product: collecting heart electrical activity signal. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model discloses a wearable dynamic electrocardio acquisition device, which relates to the technical field of electrocardio acquisition, and comprises a first binding clothes body and a second binding clothes body, the front side of the first binding clothes body is fixedly connected with a placing frame, and a signal acquisition device is placed in the placing frame; and a plurality of detection electrode plates for dynamic electrocardiogram collection are mounted on the inner wall of the first binding clothes body. According to the dynamic electrocardiogram acquisition device, the dynamic electrocardiogram acquisition device can be worn on the body of a patient, and the plurality of detection electrode plates are arranged on the inner surface of the binding clothes body, so that the plurality of detection electrode plates can be firmly attached to the human body for a long time to accurately reflect the electrical activity part of the heart of the patient, and the detection electrode plates cannot fall off even if a user greatly acts; the device can ensure the accuracy of the monitoring result, further help a doctor to more accurately evaluate the heart health condition of a patient, and can be adjusted according to the body shape of the patient to be worn close to the skin, so that the human body electrocardiosignal monitoring is better carried out, and the placement stability of the signal collector is ensured.

A leadless implantable medical device (IMD) and method of using same are provided. The IMD comprises: a housing, a fixation element, electrodes configured to sense electrical cardiac activity (CA) signals over a period of time, an HS sensor configured to sense HS signals over the period of time, memory to store specific executable instructions, and one or more processors. The one or more processors and method: identify a characteristic of interest (COI) of a heartbeat from the CA signals, calculate a center of mass (COM) for at least one HS based on the HS signals to obtain a corresponding at least one HS COM, and calculate at least one of a therapy-related (TR) delay or a sensing-related (SR) blanking interval (BI) based on the at least one HS COM.

Described herein are methods, devices, and systems that identify ventricular sensed (VS) events from a signal indicative of cardiac electrical activity, such a far-field EGM or ECG signal, and monitor for an arrythmia and / or perform arrythmia discrimination based on the VS events. Beneficially, such embodiments reduce the probability of double-counting of R-wave, or more generally, of oversensing VS events, and thereby provide for improved arrythmia detection and arrythmia discrimination.

A leadless implantable medical device (IMD) and method of using same are provided. The IMD comprises: a housing, a fixation element, electrodes configured to sense electrical cardiac activity (CA) signals over a period of time, an HS sensor configured to sense HS signals over the period of time, memory to store specific executable instructions, and one or more processors. The one or more processors and method: identify a characteristic of interest (COI) of a heartbeat from the CA signals, calculate a center of mass (COM) for at least one HS based on the HS signals to obtain a corresponding at least one HS COM, and calculate at least one of a therapy-related (TR) delay or a sensing-related (SR) blanking interval (BI) based on the at least one HS COM.

The invention discloses an automatic myocardial infarction prediction method and system based on time sequence electrophysiological signals. The method comprises the steps of data acquisition, data preprocessing, feature extraction, model training, real-time prediction and result output. The invention relates to the technical field of electrophysiological signal prediction, in particular to an automatic myocardial infarction prediction method and system based on time sequence electrophysiological signals. According to the scheme, a cross-domain feature extraction method is adopted, the time relation between continuous windows is combined, and feature representation is improved by checking the correlation between adjacent windows; the original time sequence electrophysiological signals are converted into multi-stage decomposition signals through HAAR wavelets, and changes of heart electrical activity are observed from different scales; sample expansion is carried out by adopting a window sliding method of different sizes, so that the risk of overfitting is reduced; and the myocardial infarction prediction model is constructed by adopting the integrated model, so that the prediction performance is improved, and the accurate and stable myocardial infarction early warning capability is ensured.

The invention relates to the technical field of cardiac electrophysiology noninvasive detection. The invention discloses a heart abnormal pulsation source positioning method, device and equipment and a medium. The method comprises the following steps: synchronously acquiring an MCG signal and an ECG signal; based on a preset feature extraction model, performing feature extraction on the MCG signal and the ECG signal to obtain an ECG time sequence feature sequence and an MCG space-time feature set; obtaining an MCG sensor coordinate and an ECG electrode coordinate, and carrying out space alignment processing on the MCG sensor coordinate and the ECG electrode coordinate based on a preset space coordinate mapping model; and on the basis of a preset heart geometry and conductance model, according to a mapping relationship among the ECG time sequence feature sequence, the MCG space-time feature set, the MCG sensor coordinates and the ECG electrode coordinates, determining an abnormal pulsation source through a Bayesian framework model, a deep learning model and a sparse inversion model. According to the invention, high temporal-spatial resolution, high stability and individualized noninvasive cardiac electrical activity source positioning are realized.

The invention relates to the technical field of medical information, in particular to a machine learning-based automatic identification system for abnormal pump blood after cardiac intervention. The system comprises a post-operation image combined preprocessing module, a heart post-operation image feature analysis module, a pump blood abnormity identification training module and an abnormity feedback visualization module. The system can synchronously collect a heart section dynamic image sequence and a heart electrical activity signal image sequence. Performing joint registration denoising on the heart section dynamic image sequence and the heart electrical activity signal image sequence, extracting corresponding echocardiogram spatial features and heart electrical signal time sequence features, and generating heart postoperative cross-modal fusion features; and constructing a pump blood anomaly identification model based on multi-task learning, and carrying out pump blood anomaly identification training and anomaly feedback visualization to generate an echocardiogram anomaly region visual marker and an electrocardiogram anomaly waveform comparison analysis chart. According to the method, the corresponding abnormal pumping condition after the cardiac intervention operation can be automatically identified.

The invention provides an electrocardiogram signal processing method, training method, device and equipment, and relates to the field of medical artificial intelligence. The electrocardiogram signal processing method comprises the following steps: segmenting an electrocardiogram signal of a target object into a plurality of equal-length segments, performing linear projection on each segment to obtain an initial feature sequence, and generating enhanced feature representation fused with context information based on the initial feature sequence; based on a multi-level codebook, vector quantization is carried out on the enhanced feature representation through a multi-level residual quantization mechanism, quantized feature vectors and corresponding discrete indexes are obtained, the codebook is obtained through training on unlabeled electrocardiogram data in a self-supervision mode, and each vector in the codebook represents a typical electrocardiogram morphological feature; and outputting the discrete index and the quantized feature vector to a downstream task model, and determining the heart electrical activity state of the target object through the downstream task model.

The invention relates to a heart rate analysis method, a heart rate analysis device, heart rate analysis equipment, a storage medium and a program product. The method comprises the following steps: fitting an initial high-frequency pulse signal generated by single-lead electrocardio equipment to obtain a fitted pulse signal, finally determining error information according to an electrocardio signal and the fitted pulse signal, and determining heart rate information of a target object based on the error information. In the method, the amplitude information can reflect the intensity of the cardiac electrical activity, and the frequency information can reflect the rhythm change of the cardiac electrical activity, so that the initial high-frequency pulse signal is fitted by combining the two kinds of information at the same time, and the electrocardiosignal can be more comprehensively and accurately simulated; therefore, the heart rate information determined according to the error information is more accurate.

Systems are provided for synthesizing leads of an electrocardiogram (ECG) based on a subject ECG collected from a subject and converting a nonstandard ECG based on a nonstandard placement of electrodes to a standard ECG with a standard placement of electrodes. The described systems may generate simulated ECGs based on simulations of electrical activity of hearts having different heart configurations. From each simulation, simulated ECGs are generated assuming a specification of electrode position(s) for each lead of an ECG. The systems identify a simulated ECG that is similar to the subject ECG. Based on the simulation from which that simulated ECG was generated, the systems identify a synthesized ECG or converted ECG.

This invention proposes a method for detecting autonomic nervous system-mediated events based on the decoupling of surface physiological signals. The method includes the following steps: acquiring surface electrophysiological activity signals from the chest using a surface electrophysiological acquisition device; separating the surface electrophysiological activity signals using a rapid independent component analysis method to obtain a reference electrocardiogram (ECG) signal and a mixed residual signal; using the R-wave sequence of the reference ECG signal as a time reference, excluding the high-energy ECG window centered on the R-wave from the mixed residual signal, and extracting neural-related electrical activity feature vectors from the low cardiac electrical activity intervals between heartbeats; constructing a sequence of cardiac electrical and neural potential activity states, establishing a sequence model, and outputting the continuous time trajectory of the autonomic nervous system-mediated state. This invention uses the R-wave peak value of the reference ECG as a time reference to locate and exclude high-energy ECG windows, and extracts neural-related features from the low cardiac electrical activity intervals between heartbeats, significantly reducing the interference of QRS residues on the assessment of autonomic nervous system-mediated regulation and improving feature stability and repeatability.

This invention provides a safer drug and its application, and a safer drug combination and its application without sudden cardiac death toxicity. The safer drug provided by this invention is a combination preparation containing a serotonin receptor antagonist and diltiazem, which effectively avoids the possibility of ventricular depolarization and repolarization disorders caused by the serotonin receptor antagonist ondansetron, thereby preventing corresponding arrhythmias and sudden cardiac death. This application also provides the application of diltiazem in the preparation of drugs that improve cardiac electrical activity and corresponding treatment methods.

Various systems, methods, and devices related to modifying views of a multi-lead electrocardiogram (ECG), as well as identifying notations associated with the multi-lead ECG, are described. An example method includes displaying graphical elements in a first arrangement. The graphical elements respectively depict electrical signals indicative of an electrical activity of a heart. The example method further includes detecting a signal indicative of a display selection, and, based on the display selection, rearranging the graphical elements from the first arrangement to a second arrangement.

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 location of an arrhythmia.

The invention provides a catheter with at least one electrode pair on the head of the catheter to collect data regarding the electrical activity of the heart and analyze the data using a high-performance mapping algorithm to map the interior portions of the heart to guide catheter ablation.

A pacemaker system includes a drive-sense circuit (DSC) operably coupled to a pacemaker lead. The DSC generates a pace signal including electrical impulses based on a reference signal. The DSC provides the pace signal via the pacemaker lead to an electrically responsive portion of a cardiac conductive system of a subject to facilitate cardiac operation of a cardiovascular system of the subject. The DSC senses, via the pacemaker lead, cardiac electrical activity of the cardiovascular system of the subject that is generated in response to the pace signal and electrically coupled into the pacemaker lead and generates a digital signal that is representative of the cardiac electrical activity of the cardiovascular system of the subject that is sensed via the pacemaker lead. The DSC provides digital information to one or more processing modules that includes and / or is coupled to memory and that provide the reference signal to the DSC.

In one aspect, a computer-implemented method includes receiving a signal corresponding to electrical activity of a patient's heart; separating the signal into component signals; detecting fractional phase transitions for each of the component signals; generating, at each of the detected fractional phase transitions for each of the component signals, a data object containing a time value and an amplitude value; for a set of consecutive data objects associated with a first component signal of the component signals, detecting a peak amplitude; for a set of consecutive data objects associated with a second component signal of the component signals, detecting a peak amplitude; determining that the peak amplitudes satisfy a first time; calculating a consolidated peak amplitude and a consolidated peak time; and in response to determining that the consolidated peak amplitude satisfies both an amplitude criterion and a second time criterion, providing an indication of a detected heartbeat.

The invention provides an intracardiac electrophysiological examination data processing method based on an artificial intelligence technology, a program product, electronic equipment and a storage medium, and is applied to the technical field of medical signal processing. The method for processing the intracardiac electrophysiological examination data based on the artificial intelligence technology comprises the following steps: acquiring the intracardiac electrophysiological examination data corresponding to a to-be-detected object; the electrophysiological examination data in the cardiac cavity are dynamically tracked, a first detection result corresponding to the to-be-detected object is obtained, and the first detection result represents arrhythmia information corresponding to the to-be-detected object. The electrophysiological examination data in the cardiac cavity are dynamic data obtained by recording cardiac electrical activity for a long time, so that arrhythmia information can be determined by dynamically tracking the electrophysiological examination data in the cardiac cavity. Compared with manual detection in the prior art, the arrhythmia detection efficiency can be improved, subjective misjudgment can be avoided, and therefore the arrhythmia detection accuracy is improved.