63 results about "Cardiac rhythms" patented technology

The invention discloses an electrocardiogram waveform real-time anomaly detection and early warning evaluation method and system, and the method comprises the following steps: S1, collecting the signal data of an electrocardiogram, and carrying out the preprocessing; s2, inputting the electrocardiogram segment sequence into an improved convolutional neural network, and performing feature extraction and aggregation; s3, inputting the fusion feature sequence into a graph attention neural network, and extracting a relation between waveform local dependence and fragment state transition; s4, inputting the global feature map into an anomaly evaluation network, and outputting an anomaly judgment result and a confidence score sequence; s5, generating a risk level tag sequence in combination with the individual parameters; s6, inputting the risk level label sequence into an early warning decision network, and generating a multi-level response label and an alarm trigger signal; and S7, controlling an early warning interface to execute alarm, and synchronously writing related data. According to the invention, real-time anomaly detection and multi-stage early warning response of the electrocardiogram waveform are realized, and the timeliness and reliability of abnormal heart rhythm recognition are improved.

The invention discloses a thoracic cavity heart sound signal non-contact extraction system and method based on structured light. The system comprises a structured light projection module, an image acquisition module, an image processing and displacement extraction module and a signal processing and trigger point identification module, structured light is projected on the surface of the chest of a human body to form a regular pattern, and a high-speed image acquisition means is utilized to record micro displacement change generated by light spots under cardiac drive. Thoracic cavity vibration information is extracted through an image processing technology, periodic feature points corresponding to a cardiac rhythm are recognized in combination with a time sequence analysis strategy, a thoracic cavity heart sound signal is extracted, rhythm analysis is conducted, and a cardiac trigger point is output to serve as a trigger signal for synchronous control of medical equipment. The technical problems of signal distortion, equipment interference, potential safety hazards, inconvenience in use and the like in a strong electromagnetic environment in a traditional contact mode are solved, and a high-precision synchronous trigger signal is provided for dynamic imaging.

The invention discloses an arrhythmia recognition method and system based on electrocardio waveform dynamic feature reconstruction, and the method comprises the steps: obtaining an electrocardiogram of a user, extracting the electrocardio potential of each cardiac blog in the electrocardiogram, and calculating the deformation rate vector of each cardiac blog according to the electrocardio potential; according to the deformation rate vector, calculating a heart rhythm transition value between the heart blogs as a heart rhythm transition fingerprint, calculating heart beat form difference energy between the heart blogs, and generating a form fluctuation index of each heart blog according to the heart beat form difference energy; and acquiring a change acceleration of the form fluctuation index between heart blogs, mapping the change acceleration, the form fluctuation index and the cardiac rhythm transition value into a discrete symbol, and inputting the discrete symbol into a diagnosis synthesizer to output an arrhythmia identification result.

A self-applicable defibrillator is provided. The defibrillator includes four walls each affixed on one side of a bottom surface. A dividing layer is affixed to each of the four walls creating an electrode enclosure and a circuit enclosure configured to hold circuitry. Access to the circuitry is restricted by the bottom surface and dividing layer. A pair of pads are stored in the electrode enclosure to monitor cardiac rhythm of a user. Each of the pads are placed on the user, by the user, after the user experiences a cardiac precursor. A cover is configured to fit over the electrode enclosure on a side opposite the circuit enclosure, and the cover is opened for the user to access the pads for placement.

A system for improving cardiac performance includes a delivery tube and an expandable implant sized for delivery within the delivery tube. The expandable implant is adjustable between an expanded form and a compressed form. In the expanded form, the expandable implant is sized and shaped to extend beyond the delivery tube for compressing a portion of a heart. The expandable implant may take the form of a balloon and may be inflated and deflated during use. A sensor is preferably provided for measuring cardiac rhythm, wherein the expandable implant moves in synchronization with the measured cardiac rhythm. The sensor is preferably coupled to the expandable implant. The delivery tube may be sized for advancement through a thoracic cavity.

A computer-implemented method and system are described. The method comprises the steps of: identifying a region having an electrical activation sequence within a chamber of the heart from an electrograph, the electrical activation sequence characterizing the region as a potential drive of an abnormal heart rhythm; for each sensing location at or substantially around the region, determining an earliest activation electrode site from a primary activation; for each determined earliest activated electrode site: calculating a value for each of a plurality of modifiers associated with the electrode site, the modifiers determined from electrogram data of the site, tissue characteristics of the site, or anatomical characteristics of the site; determining a sorting factor calculated according to the plurality of modifiers; sorting each of the earliest activated electrode sites according to a sorting factor; and outputting data identifying the region, the data changing a significance of each of the determined earliest activated electrode sites depending on the ranking.

The present application belongs to the technical field of intelligent medical equipment, and specifically relates to a cloud-edge collaborative electrocardio intelligent analysis device and method based on a multi-model pipeline. The problem of misjudgment under noise interference caused by the missing of signal quality evaluation links and the dependence on cloud end final determination due to weak autonomous decision-making ability of the edge end is solved. The device comprises an electrocardio signal acquisition unit, a signal quality evaluation unit containing a first special neural network model for real-time evaluation of original electrocardio signal quality, a preprocessing unit for filtering available signals, an analysis processing unit composed of a second and a third special neural network model in cascade, which sequentially performs multi-dimensional feature extraction and multi-label heart rhythm classification and outputs confidence, and a pre-warning decision unit which determines the pre-warning level according to preset rules in combination with the confidence and historical event statistics. According to the evaluation result and the pre-warning level, the data interaction content is dynamically decided, the desensitization health summary is uploaded in a regular state cycle, the encrypted original signal segment is uploaded when the trigger condition is met, and the cloud end model is updated.

A system for sensing multiple local electric voltages from endocardial surface of a heart, includes: an elongate tubular member having a lumen, a proximal end and a distal end; a plurality of flexible splines; an anchor for securably affixing the proximal portions of the splines, where the anchor is securably affixed within the lumen of the elongate tubular member at the distal end of the elongate tubular member; and a metallic tip for securably affixing the distal portions of the splines.

This invention belongs to the field of defibrillation technology and provides an adaptive synchronized defibrillator and defibrillation method for different abnormal heart rhythms, solving the current problem of not being able to achieve adaptive synchronized defibrillation for different abnormal heart rhythms. The system includes a control module, a charging circuit, an energy storage capacitor, a high-voltage detection circuit, a discharge circuit, and a wave detection circuit. The control module controls whether to activate the R-wave detection module, drive circuit, charging circuit, high-voltage detection circuit, and discharge circuit based on different ECG classification results. By comprehensively utilizing the advantages of software and hardware defibrillation, adaptive synchronized defibrillation can be achieved for various abnormal heart rhythms, exhibiting high efficiency, low latency, and high-quality defibrillation performance.

Systems and methods for biometric analysis are described. In some embodiments, a system may include a wearable device comprising a plurality of electrodes, a gesture control processing circuit, and an ECG processing circuit. A common electrode may be configured to provide signals to both the gesture control processing circuit and the ECG processing circuit. While the system is in a gesture control state, the system may be configured to obtain first biopotential signals using at least the common electrode and convert the first biopotential signals to first biopotential data for use in gesture control. While the system is in the ECG state, the system may be configured to obtain second biopotential signals using at least the common electrode and convert the second biopotential signals to ECG data for use in analyzing a user's heart rhythms.

The invention relates to the technical field of medical instruments, in particular to a control method, device and equipment for defibrillation equipment and a medium, based on a preset cardiopulmonary resuscitation circulation mode, a ventilation stage in next cardiopulmonary resuscitation circulation is determined as a ventilation control window, and based on a window control instruction triggered by the ventilation control window, the defibrillation equipment is controlled. And executing the time limit heart rhythm task and the capacitor charging task, judging whether a preset discharging condition is met or not according to a monitored first completion state of the time limit heart rhythm task and a monitored second completion state of the capacitor charging task, and if the preset discharging condition is met, controlling the defibrillation equipment to perform electric shock within preset discharging time. Visibly, whether the preset discharge condition is met or not is determined according to the monitored first completion state of the time limit heart rhythm task and the monitored second completion state of the capacitor charging task, then the defibrillation device is controlled to conduct electric shock within the preset discharge time, accurate cooperative control over the whole cardio-pulmonary resuscitation process is achieved, and the cardio-pulmonary resuscitation efficiency is improved. The compression break time is compressed to a very low level.

Systems and methods are disclosed to evaluate patient response to cardiac rhythm management therapy and remotely reprogram an implantable medical device, including receiving physiologic information of a patient in a first time period responsive to a first cardiac rhythm management therapy, determining a first patient response metric indicative of patient response to the first cardiac rhythm management therapy, generating a reprogramming recommendation for the implantable medical device including a second cardiac rhythm management therapy based on the first patient response metric, and remotely reprogramming the implantable medical device to provide the second cardiac rhythm management therapy to the patient in a second time period.

The invention discloses a portable card type AED device which comprises a device body, the thickness of the device body is smaller than 5 mm, the weight of the device body is smaller than 70 g, and the device body comprises an outer layer, a middle layer, a core layer and a bottom layer which are sequentially laminated and integrated from top to bottom. A transparent flexible solar cell and a hydrophobic nano coating are integrated on the surface of the outer layer, the middle layer is an energy storage unit, and the core layer comprises a pair of pre-folded disposable electrocardio defibrillation electrode plates; a micro control module is integrated on the bottom layer to analyze heart rhythm types in real time and intelligently judge and trigger the high-voltage discharge circuit to execute defibrillation operation. Compared with the prior art, the portable card type AED device and the using method thereof have the advantages that the portable card type AED device is small in size and has the self-power-supply capacity.

A method of operating a cardiac rhythm management (CRM) system includes: cyclically calculating, by a medical device of the CRM system, an impedance between a housing electrode included in a housing of the medical device and each of a plurality of pacing electrodes, where the plurality of pacing electrodes includes a left bundle pacing electrode configured to be placed in a left bundle of a subject; comparing the calculated impedance with one or more specified impedance values; and generating an alert regarding pacing electrode placement in response to the calculated impedance corresponding to the pacing electrode differing from the one or more specified impedance values by a predetermined threshold impedance value.

A computer-implemented method is provided to estimate a periodic feature, such as a period length or a period location, of a physiological rhythm, such as a cardiac rhythm or an autonomic respiratory rhythm. The computer-implemented method comprises receiving a signal representing the physiological rhythm, estimating a first set of periodic feature estimates based on the signal, generating a prior probability of the periodic feature based on at least a subset of the first set of periodic feature estimates, and estimating a second set of periodic feature estimates based on the first set and the prior probability. By using such a computer-implemented method, the accuracy of the signal is improved, in particular when the signal is obtained from an accelerometer arranged on the chest of a subject.

The application discloses a heart rhythm data processing system, method and storage medium. The heart rhythm data processing system comprises a wearable device and a cloud server. The wearable device is configured with a data acquisition module and a data uploading module. The cloud server is configured with a data processing module and a result feedback module. The data acquisition module is used to determine a data acquisition mode in response to a user triggering operation, and acquire target user's to-be-processed heart rhythm signal data and motion state data within a preset time length according to the data acquisition mode. The data uploading module is used to upload the to-be-processed heart rhythm signal data and the motion state data to the cloud server. The data processing module is used to process the to-be-processed heart rhythm signal data and the motion state data based on a heart rhythm data classification model, and obtain a target heart rhythm recognition result. The result feedback module is used to send the target heart rhythm recognition result to the wearable device, thereby improving the accuracy, interpretability and scene adaptability of the heart rhythm type determination.

This invention discloses an intelligent terminal and early warning method for home management of dilated cardiomyopathy (DCM) in children, integrating multi-parameter monitoring, belonging to the field of intelligent health management technology. The method includes the following steps: establishing an electromagnetic event timeline in the home health monitoring environment; synchronously collecting and correlating electrocardiogram (ECG), blood oxygen saturation, and body movement signals according to a unified time reference to form an intelligent early warning baseline and generate a time anchor. This invention achieves synchronous correlation between multi-source physiological signals and interference by establishing an electromagnetic event timeline and time anchor, and dynamically rearranges sampling time to maintain signal continuity. Through a rhythmic breathing-type time control table and a dynamic interference isolation mechanism, the sampling rhythm is inversely coordinated with electromagnetic events, effectively improving the stability and accuracy of heart rhythm analysis and achieving intelligent early warning for dilated cardiomyopathy in children.

1. The name of the design product: implantable dual chamber leadless cardiac pacemaker. 2. The use of the design product: medical device for cardiac rhythm management. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

An implantable medical device and computer implemented methods comprise a sensing circuit configured to sense cardiac activity (CA) signals. An accelerometer is configured to be implanted in a patient and obtain accelerometer data along at least one axis. A memory is configured to store program instructions and device parameters associated with each ventricular arrhythmia (VA) therapy in a collection of VA therapies with different levels of intensity. One or more processors execute the program instructions and are configured to analyze the CA signals over one or more cardiac beats, determine a VA episode based on the analysis of the CA signals, determine a posture of the patient based on the accelerometer data in response to the determination of the VA episode, and select a first VA therapy from the collection of VA therapies based on the posture.

A method of operating a cardiac rhythm management (CRM) system includes: measuring a baseline PR interval of cardiac depolarization; measuring one or both of the heart sound and the heart depolarized QRS width; delivering pacing stimulation according to atrial sensing of a ventricular pacing interval (AsVp interval), and measuring one or both of a heart sound and a QRS width of the AsVp interval, where the pacing stimulation is delivered using a conducted system pacing (CSP) vector comprising electrodes positioned in the interventricular septum; delivering a pacing stimulus according to an atrial pacing to ventricular pacing interval (ApVp interval) and measuring one or both of a heart sound and a QRS width of the ApVp interval; and generating a recommended atrial-to-ventricular delay setting for the CSP based on one or both of the measured heart sound and the QRS width.

AI Based Wearable Computer Device for Continuous Heart Rhythm Monitoring

The invention discloses an AI-based electrocardiogram monitoring and data analysis method and system, and the method comprises the following steps: carrying out the modeling of the state transition rule of an electrocardiogram symbol sequence through a probabilistic suffix automaton model, and carrying out the modeling analysis of the rhythm duration through combining with an implicit semi-Markov model. After continuous electrocardiosignals are subjected to filtering, correction and rhythm segmentation processing, periodic features are extracted and converted into symbol sequences, and state and duration combined features are constructed. The system judges the abnormal rhythm condition based on a joint scoring mechanism, optimizes the recognition strategy through reinforcement learning, and achieves the real-time recognition and alarm of the abnormal rhythm. The method has the structural modeling capability and the duration recognition capability, and is suitable for a dynamic electrocardiogram monitoring scene.

A power board, defibrillator and medical equipment, the power board comprises a first PCB substrate, a treatment parameter circuit, a power management circuit, a treatment charging circuit and a treatment discharging circuit. The first PCB substrate comprises a treatment parameter area, a power management area, a treatment charging area and a treatment discharging area. The treatment parameter circuit is arranged in the treatment parameter area, and the power management circuit is arranged in the power management area. The treatment charging circuit is arranged in the treatment charging area. The treatment discharging circuit is arranged in the treatment discharging area. A horizontal axis and a vertical axis are established by taking a point on the first PCB substrate as an origin, and four quadrants are divided, and the treatment parameter circuit and the treatment charging circuit are distributed in two quadrants on the diagonal. The power board disclosed by the application is farthest from the treatment charging circuit, reduces the electromagnetic interference of the treatment charging circuit on the treatment parameter circuit, so that the system can be realized while the cardiac rhythm analysis is carried out. When the analysis result is a shockable rhythm, the discharge treatment can be carried out, and the clinical rescue time is saved.

This invention discloses a targeted drug delivery system for treating dilated cardiomyopathy in children, relating to the field of targeted drug delivery technology. It includes a time baseline construction module, a heart rate mutation prediction module, a drug release rhythm control module, a phase-locked control module, and an energy distribution control module. The time baseline construction module establishes a unified time baseline during targeted drug delivery, integrating heart rate, blood flow velocity, and blood pressure signals in the same temporal order to generate a time reference baseline reflecting cardiac rhythm changes. This invention achieves time synchronization by establishing a unified time baseline and combining heart rate, blood flow, and blood pressure signals, ensuring that the drug release rhythm remains consistent with cardiac changes. Pre-emptive regulation is achieved through prediction windows and buffer indexes to eliminate feedback oscillations. The combination of a rhythm control table, phase-locked path, and energy distribution chain coordinates energy output with flow rate, maintaining stable and accurate drug delivery.

A method for predicting multi-type ECG heart rhythms based on graph convolution includes: acquiring 12-lead ECG signals from a body surface of a patient, and resampling an ECG signal of each lead to a same signal length; constructing a node mutual information pooling U-shaped graph convolution network, and extracting deep features of the ECG signals by using a feature extraction module; performing one-layer one-dimensional convolution on the deep features to obtain a graph feature matrix to be constructed; inputting the obtained undirected graph into a graph encoding module in the graph convolution network, quantitatively calculating node mutual information of the undirected graph by using the graph encoding module, and selecting a node subset with the maximum mutual information to decrease the number of nodes in the undirected graph for down-sampling; inputting the undirected graph with the decreased number of nodes into a graph decoding module.

The invention discloses an implant conveying system, a heart rhythm adjusting system and a heart rhythm adjusting method. The implant conveying system comprises a puncture sheath (20) and an implant. The puncture sheath (20) comprises a hollow tube body (12), the implant is arranged in the tube body (12) in a releasable mode, the far end of the tube body (12) is a puncture head (13) which can penetrate into the ventricular muscle and guide the tube body (12) to penetrate through the ventricular muscle, and the length of the tube body (12) can at least extend into the ventricular muscle from the outside through a cardiac apex (4). The implants are implantable electrodes (60, 61, 62, 63, 64, 65 and 66), the electrodes (60, 61, 62, 63, 64, 65 and 66) are implanted through an intracardiac path, and real physiological position pace-making and double-chamber electric synchronization are achieved through program control of the pulse generator (80).

The invention discloses a system for realizing heart monitoring in a driving state. The system integrates two signal channels of a non-contact electrocardiogram (ECG) electrode and a visual pulse wave (PPG). The non-contact electrocardio-electrodes are integrated in a safety belt structure and located on the left shoulder and the belly of a driver respectively, and high-precision electrocardio-signals are collected through clothes. The steering wheel is made of weak conductive materials to form a right leg driving circuit. The camera is installed in front of a driver, recognizes the face in real time and extracts visual pulse wave signals. The multi-mode signal realizes cardiac rhythm synchronous analysis through a fusion algorithm, so that the signal stability and accuracy are enhanced, and the method is particularly suitable for long-term monitoring and potential abnormal cardiac rhythm recognition. The invention further provides a self-adaptive channel selection strategy: when the quality of the non-contact electrocardiosignal is poor, the visual PPG channel is automatically switched and used, so that the monitoring continuity and accuracy in the driving environment are guaranteed.

The disclosed systems and methods provide systems and methods for rhythm recognition and the analysis of ECG signals.