29 results about "Ventricular contraction" patented technology

Methods and systems for automated electrocardiogram (ECG) analysis using neural networks, enhancing the accuracy of beat-by-beat cardiac monitoring. The system utilizes a Generative Adversarial Network (GAN) and beat classifiers to analyze ECG data and detect conditions various beast properties of an ECG at a discrete level. Additional neural networks may be trained to detect beat based conditions such as premature atrial contractions (PACs) and premature ventricular contractions (PVCs). The GAN generates realistic ECG beats, while classifiers detect abnormalities. Additional transformers may be trained to detect rhythm based conditions such as AFib and Aflutter. Methods and Systems support real-time cardiac health insights and integrates with ECG devices for continuous monitoring, offering a robust solution for improving diagnostic accuracy.

According to the atrial fibrillation recognition method based on multi-feature fusion, multiple feature extraction task branches are constructed in the same deep learning model, the RR interval features, the P-wave features and the electrocardio waveform morphological features are extracted synchronously and parallelly, and the problems of feature loss and time sequence mismatching caused by multi-step processing are avoided; the model captures RR interval irregularity in a time domain, captures P wave missing and baseline f wave features in a morphological domain, forms a rhythm-morphological-frequency spectrum triple feature system, realizes more stable identification of atrial fibrillation, can effectively distinguish similar expressions of atrial fibrillation and ventricular premature, atrial premature, sinus arrhythmia and the like based on a coordination mechanism of appetite and morphological domain, and improves the accuracy of atrial fibrillation identification. And the identification rate of the atrial fibrillation signal in the electrocardiogram data can be effectively improved.

A method and apparatus for treatment of heart failure by increasing secretion of endogenous naturetic hormones ANP and BNP such as by stimulation of the heart atria. Heart pacing is done at an atrial contraction rate that is increased and can be higher than the ventricular contraction rate. Pacing may include mechanical distension of the right atrial appendage. An implantable device is used to periodically cyclically stretch the walls of the appendage with an implanted balloon.

Implantable medical device for stimulating a heart includes a proximal electrode pole, and first and second distal electrode poles. During operation, the device performs: a) detecting an intrinsic atrial contraction of the heart; b) detecting an intrinsic ventricular contraction of the heart; c) determining a first intrinsic atrioventricular conduction time between i) the intrinsic atrial contraction or the stimulation of the atrium and ii) the intrinsic ventricular contraction detected with the first distal electrode pole; and determining a second intrinsic atrioventricular conduction time between i) the intrinsic atrial contraction or the stimulation of the atrium and iii) the intrinsic ventricular contraction detected with the second distal electrode pole; d) setting a stimulated atrioventricular conduction time for stimulating the ventricle of the heart with the first and / or second distal electrode poles, the stimulated atrioventricular conduction time being shorter than the shorter of the first and second intrinsic atrioventricular conduction times.

Techniques for determining whether a ventricular depolarization is a premature ventricular contraction (PVC) depolarization can include processing circuitry of a medical system that identifies an interval from a maximum slope point to a minimum slope point of each of a plurality of ventricular depolarizations and, for each of the plurality of ventricular depolarizations as a current ventricular depolarization, determines that an interval from a maximum slope point to a minimum slope point of the current ventricular depolarization, a previous adjacent ventricular depolarization of the plurality of ventricular depolarizations, and a subsequent adjacent ventricular depolarization of the plurality of ventricular depolarizations satisfies one or more slope criteria. The processing circuitry determines, based on the interval from the maximum slope point to the minimum slope point that satisfies the one or more slope criteria, that the current ventricular depolarization is a PVC depolarization.

The invention relates to a device usable with a valve disposed between the atrium and the ventricle of a heart, the valve having a first leaflet (S) and at least one opposing leaflet (A, P). The apparatus includes an enhancer (700) that includes a flexible pouch (710) and an anchor (780). The pouch has an outer surface, an interior, an exterior, and a downstream opening providing fluid communication between the interior and the exterior of the pouch. The anchor is coupled to the pouch and is configured to anchor the pouch to a lip of the first leaflet by anchoring the anchor to the first leaflet. The anchoring is such that the downstream opening opens into the ventricle. In response to ventricular contraction, the pouch is inflated through the downstream opening and the outer surface engages against the opposing leaflets.

Techniques for triggering storage or transmission of electrogram (EGM) signals associated with premature ventricular contractions (PVCs) include sensing cardiac EGM signals of a patient with a plurality of electrodes, detecting a premature ventricular contraction (PVC) within the cardiac EGM signals, determining whether PVC storage criteria are met, storing a portion of the cardiac EGM signals associated with the PVC in response to a determination that the PVC storage criteria are met, and refraining from storing the portion of the cardiac EGM signals associated with the PVC in response to a determination that the PVC storage criteria are not met.

The invention relates to a leadless heart sensing and pace-making system based on ultrasonic energy transmission. The leadless heart sensing and pace-making system comprises a miniature ultrasonic probe and a leadless pace-making structure capable of being implanted into a plurality of cavities of a human body, the pace-making structure is a micro structure without an energy supply system; the probe comprises a microprocessor integrated with an intelligent agent, a sensing module, a transmitting device used for transmitting energy pulses and an energy supply device. The sensing module is used for acquiring a heart atrioventricular contraction ultrasonic image in real time, processing the heart atrioventricular contraction ultrasonic image through an intelligent agent in the microprocessor and reasoning to determine whether pace-making pulse distribution of a pace-making structure in at least one cavity needs to be started or not; and if so, sending a pace-making instruction with an energy pulse through a transmitting device to which the pace-making structure of the corresponding chamber belongs. The pace-making structure in the system can be placed in each chamber of the heart in a miniaturized manner, so that the occupied space is small, and the stability is ensured. More importantly, the system can realize heart sensing and pace-making at the same time, and the purpose of pace-making according to needs is achieved.

A method includes detecting that a first premature ventricular contraction (PVC) episode occurred within a first length of electrocardiogram (ECG) data. The method further includes recording the first length of ECG data to memory in response to the detecting. A second PVC episode is determined to have occurred after the first PVC episode and within a second length of ECG data, and the second PVC episode is determined to be either a first type of PVC episode or a second type of PVC episode. The method further includes determining whether to either overwrite the first length of ECG data or to separately record the second length of ECG data to the memory based, at least in part, on the determining that the second PVC episode is the first type of PVC episode or the second type of PVC episode.

Brugada syndrome and related forms of ion channelopathies, including ventricular asynchrony of contraction, originate in the region near the His bundle or para-Hisian regions of the heart. Manifestations of Brugada syndrome can be corrected by delivering endocardial electrical stimulation coincident to the activation wave front propagated from the atrioventricular (AV) node early enough to compensate for the conduction problems that start in those regions. The stimulation can be delivered in multiple modes and can include waveforms of the same polarity delivered to a site within the region near the His bundle or para-Hisian regions of the heart associated with a low cardiac electrical asynchrony level or can include at least two single-phased superimposed waveforms of opposite polarity delivered through a pair of pacing electrodes relative to a reference electrode, which can be delivered to any site within the region near the His bundle or para-Hisian regions.

Systems and methods for managing heart failure are described. The system receives physiological information including a first HS signal corresponding to paced ventricular contractions and a second HS signal corresponding to intrinsic ventricular contractions. The system detects worsening heart failure (WHF) using the received physiological information. A signal analyzer circuit can generate a paced HS metric from the first HS signal and a sensed HS metric from the second HS signal, and determine a concordance indicator between the paced and the sensed HS metrics. In response to the detected WHF, the system can use the concordance indicator to generate a therapy adjustment indicator for adjusting electrostimulation therapy, or a worsening cardiac contractility indicator indicating the detected WHF is attributed to degrading myocardial contractility.

A method and apparatus for treatment of hypertension and heart failure by increasing vagal tone and secretion of endogenous atrial hormones by excitory pacing of the heart atria. Atrial pacing is done during the ventricular refractory period resulting in atrial contraction against closed AV valves, and atrial contraction rate that is higher than the ventricular contraction rate. Pacing results in the increased atrial wall stress. An implantable device is used to monitor ECG and pace the atria in a nonphysiologic manner.

The invention belongs to the technical field of medical treatment, and provides a method for predicting long-term relapse of early ventricular ablation based on intracardiac potential spectrums.The method comprises the steps that intracardiac bipolar potentials before and after ablation are collected at a successful ablation target; performing fast Fourier transform on the potential signal to obtain a power frequency spectrum of the potential signal; in the 0-200Hz analysis frequency band, calculating the area under the curve of the 50-200Hz high-frequency component as the integral of the high-frequency component, and calculating the ratio of the integral of the high-frequency component to the total integral of the frequency spectrum to obtain the integral ratio of the high-frequency component; the ratio before ablation and after ablation is calculated respectively, the change value of the ratio is calculated and determined through ROC curve analysis, and the change value exceeding a threshold value is used as a critical value for predicting the low recurrence risk after ablation, time-domain signal analysis is innovated into frequency-domain quantitative analysis, an objective and accurate new index is provided for evaluating the ablation injury quality and predicting prognosis, and the risk of low recurrence after ablation is predicted. The device is especially suitable for ventricular arrhythmia of aorta root origin.

A method includes detecting that a first premature ventricular contraction (PVC) episode occurred within a first length of electrocardiogram (ECG) data. The method further includes recording the first length of ECG data to memory in response to the detecting. A second PVC episode is determined to have occurred after the first PVC episode and within a second length of ECG data, and the second PVC episode is determined to be either a first type of PVC episode or a second type of PVC episode. The method further includes determining whether to either overwrite the first length of ECG data or to separately record the second length of ECG data to the memory based, at least in part, on the determining that the second PVC episode is the first type of PVC episode or the second type of PVC episode.

A medical device system includes an implantable medical device configured to sense cardiac electrogram data and processing circuitry. The processing circuitry is configured to identify a premature ventricular contraction event within the cardiac electrogram data. The processing circuitry is configured to determine, for at least one or more cardiac cycles associated with the premature ventricular contraction event, one or more periodic repolarization dynamics metrics based on the cardiac electrogram data. The processing circuitry is configured to determine, for at least the one or more cardiac cycles associated with the premature ventricular contraction event, one or more turbulence metrics based on the one or more periodic repolarization dynamics metrics. The processing circuitry is configured to determine whether to provide an indication of at least one of sudden cardiac arrest or ventricular tachyarrhythmia based on the one or more periodic repolarization dynamics metrics and the one or more turbulence metrics.

This invention belongs to the field of artificial intelligence algorithms. To address the challenges of discrepancies and alignment difficulties in multimodal data and dimensional semantic representation in existing technologies, as well as the contradiction between real-time decision-making requirements and computational complexity in fusion, this invention proposes a multimodal time series prediction method and device for medical emergency scenarios. By acquiring multimodal time series data from medical emergency scenarios, and employing three types of features—digital, visual, and semantic—time series prediction is performed using a multimodal model. The fusion of these three modalities allows for the assessment of patient conditions or vital signs in the emergency scenario, predicting potential cardiac issues such as premature ventricular contractions (PVCs) or other heart problems in the future. This real-time prediction provides support to on-site personnel, enabling proactive preparation.

Techniques for determining whether a ventricular depolarization is a premature ventricular contraction (PVC) depolarization may include processing circuitry of a medical system identifying an interval from a maximum slope point to a minimum slope point for each of a plurality of ventricular depolarizations and, for each of the plurality of ventricular depolarizations as a current ventricular depolarization, determining that the intervals from the maximum slope point to the minimum slope point for the current ventricular depolarization, a preceding adjacent ventricular depolarization of the plurality of ventricular depolarizations, and a subsequent adjacent ventricular depolarization of the plurality of ventricular depolarizations satisfy one or more slope criteria. The processing circuitry determines that the current ventricular depolarization is a PVC depolarization based on the intervals from the maximum slope point to the minimum slope point satisfying the one or more slope criteria.

An implantable medical device for sensing electrocardiogram signals includes an arrangement of electrode poles configured to sense electrocardiogram signals and a processing module for processing electrocardiogram signals obtained by the arrangement of electrode poles. The processing module is configured to identify, based on said electrocardiogram signals obtained by the arrangement of electrode poles, premature ventricular contraction events over a prolonged period of time and to compute a burden measure indicative of the occurrence of premature ventricular contraction events in at least a portion of said prolonged period of time.

Disclosed in the present invention are an LVAD multi-objective optimization method and system, and a device, a storage medium and a product. The method comprises: constructing a three-dimensional model of the ventricles and aorta, and constructing a ventricular motion function; on the basis of each group of sample parameters, adding an LVAD structure to the three-dimensional model of the ventricles and aorta, so as to obtain a plurality of three-dimensional models of the ventricles and aorta including the LVAD structures; performing meshing on the three-dimensional models of the ventricles and aorta including the LVAD structures, so as to generate a mesh model; on the basis of the ventricular motion function, controlling ventricular contraction and rotational motions, so as to calculate platelet shear stress histories and platelet residence times; on the basis of the platelet shear stress history and platelet residence time under each group of sample parameters, constructing a Kriging model; and using an optimization algorithm to find the optimal group of structural parameters from prediction results of the Kriging model. The present invention uses a plurality of structural parameters as optimization variables, thereby effectively solving the problem of it not being possible to effectively reduce thrombosis after LVAD implantation.

The application provides a valve stent and a valve prosthesis, the valve stent comprising an outer layer stent, an inner layer stent and at least one buffer part; the outer layer stent is sleeved outside the inner layer stent and is connected with the inner layer stent through the buffer part. The buffer part can effectively reduce the influence of the deformation of the outer layer stent on the opening and closing of the valve leaflet on the inner layer stent, so that the buffer part can significantly weaken or isolate the mutual force between the outer layer stent and the inner layer stent. In addition, the valve stent adopts the design of double-layer stent, which can effectively improve the fatigue resistance of the valve prosthesis, make the valve prosthesis more fit the original tissue, reduce the influence of the valve stent on the ventricular contraction capacity and ensure the stability of the closed valve stent.

This invention provides a mitral valve annulus retraction device and system, relating to the field of medical device technology. The mitral valve annulus retraction device includes multiple connecting tubes, which are sequentially connected through annulus retraction nodes to form a forming tube. Both ends of the forming tube are provided with annulus retraction nodes. Each annulus retraction node includes an annulus retraction locking component and a positioning puncture component. The positioning puncture component includes a locking block. The annulus retraction locking component includes a locking sleeve, the sidewall of which has at least one locking groove spaced circumferentially. The locking block is disposed within the locking sleeve and engaged within the locking groove, which restricts unidirectional movement of the locking block within the locking sleeve. This invention solves the problem in existing technologies where the annulus retraction ring cannot effectively counteract ventricular contraction forces for a long period, resulting in the inability to maintain the therapeutic effect for an extended period. It provides stable positioning and can maintain the therapeutic effect for a longer time.

The invention discloses an arrhythmia detection method, an intelligent terminal and a system, and aims to realize efficient and intelligent individualized arrhythmia management. The method comprises the steps that electrocardiosignals of a user are collected; and calculating physiological parameters of the user based on the electrocardiosignal. Inputting the electrocardiosignals into a pre-trained mixed deep learning model to extract enhanced features fused with local features, time sequence association and attention weighting, and outputting an arrhythmia classification probability; comparing the arrhythmia classification probability with a personalized adaptive threshold value, and generating an early warning signal according to a comparison result; wherein the personalized adaptive threshold is dynamically adjusted at least based on the physiological parameters. According to the method, deep analysis and dynamic focusing of multi-level features of the electrocardiosignals are achieved through the mixed model, complex arrhythmia such as atrial fibrillation and premature ventricle can be accurately recognized, and the sensitivity and specificity of detection are remarkably improved by means of a personalized self-adaptive threshold mechanism.

This document discusses, among other things, systems and methods to receive cardiac electrical information of a subject, detect a premature ventricular contraction (PVC) event in a first detection window using the received cardiac electrical information, determine a count of detected PVC events in the first detection window, remove cardiac electrical information associated with the detected PVC event from the first detection window based on the determined count of detected PVC events, and detect an indication of atrial fibrillation of the subject for the first detection window using remaining cardiac electrical information in the first detection window.

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.

A system is provided that includes one or more processors, and a memory coupled to the one or more processors. The memory stores program instructions, and the program instructions are executable by the one or more processors. When executed, the one or more processors obtain cardiac activity (CA) signals for a series of beats, and identify whether a characteristic of interest (COI) from a first segment of the CA signals exceeds a COI limit. The one or more processors also analyze morphology of the CA signals for the series of beats responsive to the first segment of the CA signals exceeding the COI limit, and based on the analyze operation, identify a premature ventricular contraction (PVC) within the series of beats.

Methods and systems for automated electrocardiogram (ECG) analysis using neural networks, enhancing the accuracy of beat-by-beat cardiac monitoring. The system utilizes a Generative Adversarial Network (GAN) and beat classifiers to analyze ECG data and detect conditions various beast properties of an ECG at a discrete level. Additional neural networks may be trained to detect beat based conditions such as premature atrial contractions (PACs) and premature ventricular contractions (PVCs). The GAN generates realistic ECG beats, while classifiers detect abnormalities. Additional transformers may be trained to detect rhythm based conditions such as AFib and Aflutter. Methods and Systems support real-time cardiac health insights and integrates with ECG devices for continuous monitoring, offering a robust solution for improving diagnostic accuracy.

This invention relates to a method and apparatus for processing characteristic dimensions based on cardiac ultrasound video measurements. The method includes: receiving a first video; extracting video frame images; detecting key points in each frame image based on a key point detection model; filtering diastolic and systolic frame images; filtering mid-systolic ventricular frame images; annotating key points and characteristic dimensions of the right ventricular diameter, interventricular septum thickness, left ventricular diameter, and left ventricular posterior wall thickness on the diastolic frame images; annotating key points and characteristic dimensions of the left ventricular diameter on the systolic frame images; annotating key points and characteristic dimensions of the left atrial anteroposterior diameter, aortic valve annulus diameter, aortic sinus diameter, and ascending aortic diameter on the mid-systolic ventricular frame images; and outputting the annotated diastolic, systolic, and mid-systolic ventricular frame images as the processing result. This invention can solve the problem of manual intervention in conventional methods and improve measurement efficiency.

This invention relates to the field of electrocardiogram (ECG) signal analysis technology, and in particular to an interpretable method, system, and computer-readable storage medium for an auxiliary diagnostic model for premature ventricular contractions (PVCs). The method includes: acquiring an ECG image and preprocessing it; inputting the preprocessed ECG image into the PVC auxiliary diagnostic model and outputting the predicted classification result of the PVCs; obtaining the contribution of each waveform feature to the classification result using a layer-by-layer correlation propagation interpretability method; obtaining the statistical characteristics of the contribution of each waveform feature to the classification result and inputting them into a Bayesian model to calculate the uncertainty of the predicted classification result of the PVCs; constructing a decision tree based on the contribution of each waveform feature to the classification result and the uncertainty of the classification result to obtain the target classification result. This invention improves the accuracy of PVC diagnosis and increases the credibility and transparency of the model in clinical applications, helping doctors make more reliable decisions.

The invention relates to an implantable medical device for stimulating a human or animal heart, the device comprising a single electrode (20) comprising a proximal electrode pole (213) designed and arranged to be implanted within an atrium (2) of the heart (1) to be stimulated and a distal electrode pole (203) designed and arranged to be implanted within a septum (13) of the heart (1) to be stimulated. During operation, the implantable medical device performs the following steps: a) detecting (500) an intrinsic atrial contraction of the heart (1) to be stimulated with the proximal electrode pole (213) or stimulating (500) the atrium (2) of the heart (1) to be stimulated with the proximal electrode pole (213); b) detecting (530) an intrinsic ventricular contraction of the heart (1) to be stimulated with the distal electrode pole (203); c) determining (530) an intrinsic atrioventricular conduction time between i) the intrinsic atrial contraction or the stimulation of the atrium and ii) the intrinsic ventricular contraction; d) setting (550) a stimulated atrioventricular conduction time for stimulating a ventricle (3, 5) of the heart (1) to be stimulated with the distal electrode pole (203), the stimulated atrioventricular conduction time being shorter than the intrinsic atrioventricular conduction time.