30 results about "Heart electrical activity" patented technology

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.

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.

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.

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.

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 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.

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.

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.

1. The name of the design product: electrocardiograph. 2. The use of the design product: the design product is used for monitoring the electrical activity of the heart, assisting in the diagnosis of heart disease. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention provides methods for mapping the electrical activity of the heart and create cycle length maps to guide ablation to treat atrial fibrillation.

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.

A system includes a plurality of electrodes including one configured to sense cardiac electrical activity of a patient's heart and one configured to deliver defibrillation therapy to the patient's heart. The system includes a therapy delivery unit configured to detect a treatable cardiac event using a first detection criteria within a first detection period and initiate charging of one or more capacitors to deliver a defibrillation pulse based on the detection of the treatable cardiac event. The system includes a charge unit configured to estimate a charge time for the therapy delivery unit based on one or more battery parameters, determine the charge time exceeds a threshold value, and modify the therapy delivery unit to perform one or both of detecting a treatable cardiac event using a second detection criteria within a second detection period and initiating charging of the one or more capacitors during the first detection period.

This invention provides a method for electrocardiogram (ECG) imaging inversion using real-time constraints derived from intraoperative mapping data. The method acquires multi-lead surface potential signals and initial intraoperative mapping data; registers the coordinate system of the initial intraoperative mapping data to the coordinate system of an individualized heart-trunk geometric model, obtaining a spatial mapping relationship; generates a mapping weight matrix based on the data quality of the initial intraoperative mapping data; constructs a joint inversion objective function based on the multi-lead surface potential signals, the forward transfer matrix, the initial intraoperative mapping data, the spatial mapping relationship, and the mapping weight matrix; acquires newly added intraoperative mapping data and inputs it into the joint inversion objective function for incremental solving, obtaining the final cardiac electrical activity reconstruction result; and performs visualization imaging processing on the final cardiac electrical activity reconstruction result to obtain the final inversion imaging result. This reduces the inversion uncertainty caused by model errors, improving the accuracy and clinical applicability of ECG imaging.

The application relates to the technical field of non-invasive detection of cardiac electrophysiology. A cardiac abnormal beat source positioning method, device, equipment and medium are disclosed. The method comprises the following steps: synchronously collecting MCG signals and ECG signals; based on a preset feature extraction model, performing feature extraction on the MCG signals and the ECG signals to obtain an ECG time sequence feature sequence and an MCG space-time feature set; obtaining MCG sensor coordinates and ECG electrode coordinates, and based on a preset space coordinate mapping model, performing space alignment processing on the MCG sensor coordinates and the ECG electrode coordinates; based on a preset cardiac geometry and electrical conduction model, determining an abnormal beat source according to a mapping relationship between the ECG time sequence feature sequence, the MCG space-time feature set, the MCG sensor coordinates and the ECG electrode coordinates by means of a Bayesian framework model, a deep learning model and a sparse inversion model. The application realizes non-invasive cardiac electrical activity source positioning with high space-time resolution, high stability and individualization.

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.

To provide an improved system for mapping cardiac electrical activity.SOLUTION: A system for modeling cardiac electrical activity data of a patient includes at least one diagnostic catheter for insertion into a heart of the patient and a processing unit. The at least one diagnostic catheter includes at least one recording element and records patient data over multiple cardiac cycles. The patient data includes biopotential data and localization data of the at least one recording element. The processing unit includes a clustering routine that segments the recorded patient data by cardiac cycle and combines the segmented patient data in each segmented data group to create one or more composite records. The system generates one or more models of the patient's cardiac electrical activity based on the one or more composite records.SELECTED DRAWING: Figure 1

A patch device for monitoring cardiac electrical activity is provided. The patch device comprises a flexible substrate that is configured to adhere to skin of a user and that comprises two or more electrodes. The patch device further comprises a port for releasably attaching a ring device, wherein the ring device is configured to be worn around a finger of the user and comprises a monitor configured to monitor cardiac electrical activity of the user, wherein the port is configured to electrically couple the two or more electrodes of the flexible substrate to the monitor of the ring device.

A medical system including processing circuitry configured to assess a blood glucose level of a patient. The processing circuitry is configured to use a cardiac signal indicative of the electrical activity of the patient's heart and a temperature signal indicative of a body temperature of the patient. The cardiac signal may be, for example, an electrocardiogram (ECG), an electrogram (EGM), or another measure. The medical system is configured to determine a representative cardiac measure indicative of the cardiac signal and determine a representative temperature measure indicative of the temperature signal. The medical system is configured to assess when a blood glucose level of the patient may be outside a euglycemic range based on the representative cardiac measure and the representative temperature measure determined.

This invention relates to the field of medical surgical instruments, specifically to a flexible multi-channel cardiac mapping electrode for cardiac transport and its construction method. The mapping electrode includes a flexible substrate, multiple electrodes, and an encapsulation layer. The flexible substrate has multiple branches, with the fixed ends of all branches connected to a common part. Multiple electrode arrays are disposed on the side of each branch that contacts the heart for measuring the cardiac potential. The flexible substrate is made of a biocompatible flexible insulating material, allowing each branch to be adsorbed by the surface tension of the body fluid on the outer surface of the heart. This not only reduces stimulation and damage to cardiac tissue but also allows the electrodes to more precisely conform to the heart surface, accurately measuring the cardiac potential and greatly improving the accuracy of cardiac electrical activity mapping.

A system for obtaining signals related to electrical activity of the heart of a subject includes a sensing device including an elongate member having a distal end configured for placement within a body lumen of a subject, and a proximal end configured to extend from the subject, an actuation portion carried by the elongate member and configured for placement within the body lumen, the actuation portion having a low-profile state for delivery within the body lumen and an expanded state, and one or more sensors disposed on the actuation portion, each including a contact surface configured to contact an interior wall of the body lumen, wherein the actuation portion is configured to cause the contact surface of each of the one or more sensors to contact a location on the interior wall of the body lumen to provide a signal component for producing one or more electrocardiogram signals.

The invention discloses an arrhythmia recognition method and device, a storage medium and wearable equipment, and relates to the technical field of electrocardiosignal processing. According to the method, multi-dimensional features such as an equivalent current dipole dynamic trajectory, an evolution manifold and topological dynamics are synchronously and parallelly extracted from a magnetocardiogram to describe a general cardiac electrical activity rule. And meanwhile, a personalized theoretical probability propagation map is constructed according to historical data of sinus rhythm of the user, and propagation divorcing features are generated by comparing the personalized theoretical probability propagation map with an actual activation time map to describe individual specific lesions from a personalized space-time conduction dimension. And performing attention gating weight fusion on the multi-dimensional features and the propagation departure features, inputting the fused features into a classifier to match a classification rule, and determining the arrhythmia type and the confidence coefficient thereof. Therefore, the recognition precision of complex arrhythmia is greatly improved by using a multi-level complementary feature system, personalized adaptation is realized depending on individual historical normal data, and the dependence on labeled data is reduced.

The invention relates to the technical field of medical instrument diagnosis, discloses a comprehensive monitoring system fusing 12-lead electrocardiogram and pulse blood oxygen saturation, and aims to solve the problem that in the prior art, due to hypothesis of peripheral perfusion uniformity, regional hemodynamic anomalies cannot be recognized. According to the system, 12-lead electrocardiosignals and four-channel pulse blood oxygen and photoelectric volume pulse wave signals of limbs are synchronously collected and preprocessed, then electrocardio and perfusion characteristic parameters are extracted in parallel, and a limb perfusion difference index matrix is constructed; further, through an electrocardio-perfusion space-time correlation fusion diagnosis engine, recognition and early warning of an electricity-hemodynamics coupling abnormal mode are achieved. According to the application, the relevance between the cardiac electrical activity and the peripheral perfusion state can be dynamically and comprehensively evaluated, and the early diagnosis and early warning capability of diseases such as aortic dissection and congenital heart disease can be remarkably improved.

The application provides a vital sign monitoring and early warning method and system based on multi-source data fusion, and relates to the technical field of vital sign monitoring and early warning. The method comprises the steps of synchronously collecting multi-dimensional physiological signals of a target object, such as electrocardio, photoplethysmogram, heart sound, chest wall impedance respiration and the like, and environmental data such as temperature and humidity; combining preset patient individual configuration and real-time environmental data, and performing parallel preprocessing and context grouping; extracting multi-dimensional feature parameters reflecting cardiac electrical activity and the like from the preprocessed and grouped data, and analyzing long-term trends; constructing a three-level physiological control logic fusion model to output a qualitative label; and performing multi-level early warning decision. The system comprises a data acquisition and synchronization module. The application can realize early, accurate, personalized and interpretable risk early warning by simulating the internal regulation logic of the physiological system and fusing multi-dimensional information of individuals and the environment, thereby significantly reducing false positives and false negatives.