41 results about "Cardiac rhythms" patented technology

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.

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.

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 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.

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.

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.

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.

This invention discloses a method and system for arrhythmia identification based on dynamic feature reconstruction of electrocardiogram (ECG) waveforms. The method includes: acquiring a user's ECG; extracting the electrocardiogram potential of each heartbeat in the ECG; calculating the deformation rate vector of each heartbeat based on the electrocardiogram potential; calculating the rhythm transition value between heartbeats based on the deformation rate vector, as a rhythm transition fingerprint; calculating the morphological difference energy between heartbeats; generating a morphological fluctuation index for each heartbeat based on the morphological difference energy; acquiring the acceleration of the change in the morphological fluctuation index between heartbeats; mapping the morphological fluctuation index and the rhythm transition value to discrete symbols; and inputting the discrete symbols into a diagnostic synthesizer to output the arrhythmia identification result.

The application discloses a heart rhythm state monitoring data processing method based on PPG wave segments and relates to the technical field of health monitoring.The heart rhythm state monitoring data processing method based on PPG wave segments comprises the following steps: S1, collecting long-term PPG segment monitoring data and performing a pretreatment operation; S2, performing state drift identification based on reference collection state parameters, peak top residual mean and segment RR interval median value; S3, constructing a PPG segment conservative completion input model, and outputting conservative completion verification data set and segment candidate heart rhythm type; S4, performing completion credible verification by comprehensively considering the conservative completion verification data set, suspected missing peak quantity and suspected repeated peak quantity; and S5, performing interval analysis by comprehensively considering the near-neighbor heart rhythm type distance, completion credible value and state drift value.The method solves the problem that, after the medical RR threshold value is migrated to the wearable PPG scene, the collection drift and peak value offset cause the heart rhythm discrimination boundary to drift.

The invention discloses a heart rhythm classification method based on adaptive Kalman filtering and an xLSTM structure, and the method comprises the steps: collecting an electrocardiogram signal, and segmenting the electrocardiogram signal into multiple sections of standardized electrocardiogram signals; self-adaptive Kalman filtering is adopted to suppress noise and enhance QRS waves, and meanwhile, moving average processing is introduced to weaken residual noise; constructing a heart rhythm state feature extraction and classification model which comprises a CNN module, an attention module, an xLSTM module and a classifier; wherein the attention module extracts multi-scale space and time sequence features; the xLSTM module fuses sLSTM and mLSTM substructures to enhance the rhythm modeling capability; the classifier adopts a Focal Loss optimization strategy; training and applying a heart rhythm state feature extraction and classification model to complete heart rhythm state classification for the target object; the method verifies the superior classification performance and generalization ability on a plurality of public data sets, and is suitable for the fields of motion monitoring, emotion recognition and the like.

The application is applied to the field of heart rhythm recognition, and provides a heart rhythm recognition method and system, a medical device, a medical system and a storage medium. The method comprises the following steps: acquiring first electrocardio characteristic data of a specified first user; performing heart rhythm recognition on the first electrocardio characteristic data based on a preset heart rhythm recognition algorithm and a rule model library of the medical device, to obtain a first heart rhythm recognition result, wherein the rule model library comprises a heart rhythm recognition rule generated based on historical electrocardio event records of the specified first user; obtaining a first defibrillation recognition result according to the first heart rhythm recognition result; if the first defibrillation recognition result is a defibrillatable result, acquiring second electrocardio characteristic data of the specified first user, performing heart rhythm recognition on the second electrocardio characteristic data, to obtain a second heart rhythm recognition result of the medical device; and obtaining a second defibrillation recognition result based on the aforementioned heart rhythm recognition result. The application greatly improves the accuracy of heart rhythm recognition.

This invention discloses a synergistic therapeutic system and method for generating extracorporeal shock waves. The system includes an ultrasound transmitting device, an image guidance module, a synchronization module, and a control module. The image guidance module is used to image the cardiac structure in real time and determine the target point. The synchronization module controls a first transducer array to emit pacing pulses according to a preset pacing rhythm, determining and maintaining the heart at a stable pacing rhythm. Based on the real-time images fed back by the image guidance module within the pacing rhythm, it obtains the treatment window for each heartbeat cycle. The control module controls the image guidance module, receives the treatment window signal calculated by the synchronization module, and triggers a second transducer array to emit treatment pulses towards the target point within the treatment window to soften the target point. The frequency of the treatment pulses is an integer multiple of the pacing rhythm or is set synchronously. This achieves safe, efficient, and synergistic integrated ultrasound softening therapy for sclerotic valves.

The utility model relates to diving suit technical field discloses a diving suit device of monitoring vital sign data, including diving suit body, the inside installation of diving suit body front side has electrocardiograph sensor, the right side installation of electrocardiograph sensor has temperature sensor. That diving suit device of monitoring vital sign data, circuit core board carries out data transmission with underwater acoustic communication module through radio frequency module, uses low -power low -frequency radio frequency communication in close quarters, will data transmission to the terminal equipment that diver wears, long -range then adopts underwater acoustic communication, ensures the stable reliable data transmission to the water surface monitoring station in deep water environment, thereby promotes the reliability and monitoring efficiency of data transmission under the complex underwater environment, and the temperature sensor is located in the axillary position of diving suit body inner bag, and the temperature under the axilla is relatively stable, can reduce the influence of environmental temperature change influence to the influence of measurement, and three electrocardiograph sensors can provide more accurate electrocardiograph waveform, improve the detection ability of abnormal cardiac rhythm.

An optical device for the in noninvasive determination of the concentration of glucose or another analyte in blood using a combination of Raman spectrometry and PPG. The device includes an optical detector, preferably a CMOS imager including pinned photodiodes (PPD) to collect a time-variable signal and a logic circuit arranged to determine a glucose concentration based on variations in the optical signal happening in a frequency range compatible with the cardiac rhythm.

The present disclosure provides methods, systems, and devices for directing responders and / or mechanical CPR devices to treat a patient who is experiencing cardiac arrest according to a patient-specific treatment protocol. The protocol conditionally: implements a pulse-free electrical activity protocol when the cardiac rhythm of the electrocardiogram of the patient is classified as a non-shockable cardiac rhythm with electrical activity and the pulse indicates that the patient is pulse-free; implementing a cardiac arrest protocol when the cardiac rhythm of the electrocardiogram of the patient is classified as a non-shockable cardiac rhythm without electrical activity; implementing a self-circulation recovery protocol when the cardiac rhythm of the electrocardiogram of the patient is classified as an electrically active non-shocking cardiac rhythm and the pulse indicates that the patient has a pulse; or when the cardiac rhythm of the electrocardiogram of the patient is classified as a shockable cardiac rhythm, implementing a ventricular fibrillation / ventricular tachycardia protocol.

Systems and methods include approaches involving detecting potential cardiac events using a rule-based algorithm and based on cardiac data that is time-series cardiac data, identifying first sections of the cardiac data that are associated with the potential cardiac events, identifying second sections of the cardiac data that are not associated with any of the potential cardiac events, and classifying, using an inferential machine learning model, the potential cardiac events contained in the first sections into a first set of different types of cardiac rhythms.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect the locations of sources of cardiac rhythm disorders in a patient's heart, and then to generate an estimate or probability of the patient being free from atrial fibrillation. The various embodiments employ at least one computing device to process a plurality of electrogram surfaces through time to generate at least one electrographical flow (EGF) map, representation, pattern, or data set, and then process the at least one EGF map, representation, pattern, or data set to determine at least two of source activity levels, flow angle variability (FAV) levels, and active fractionation (AFR) levels corresponding thereto. On the basis of a combination of the determined at least two of source activity levels, FAV levels, and AFR levels, an electrographical volatility index (EVI) score or metric representative of the estimate or probability of the patient being free from AF is generated.

The invention provides an intelligent heart rhythm recognition method and system based on photoelectric volume pulse waves, and belongs to the technical field of medical artificial intelligence. The method comprises the steps that preprocessing and data conversion are conducted on collected original photoelectric volume pulse wave signals, and time sequence signal data, a time domain oscillogram and a difference value time scatter diagram are obtained respectively; performing feature extraction on the time sequence signal data, the time domain oscillogram and the difference time scatter diagram to obtain a time sequence feature, a waveform feature and an interval feature; performing feature intersection and feature fusion on the time sequence features, the waveform features and the interval features to obtain multi-modal fusion features; and inputting the multi-modal fusion features into a classifier to obtain a heart rhythm recognition result. According to the method, the time sequence characteristics, the morphological characteristics and the rhythm variability in the PPG signals are extracted respectively, multi-modal information complementation is achieved, the heart rhythm characteristics in the PPG signals are effectively represented, and therefore the capacity of judging the complex heart rhythm is improved.

A cardiac monitoring system with sleep and activity correlation is described. In one or more implementations, measurements of a user generated by a wearable monitoring device during an observation period are obtained, the measurements including accelerometer data and electrical potential measurements. Sleep periods and wake periods are detected based on the accelerometer data. Sleep stage classifications and activity level classification are generated based on the accelerometer data during the detected sleep periods. The electrical potential measurements are processed using a machine learning model trained to correlate patterns in the electrical potential measurements to cardiac rhythm classifications. Arrhythmia correlations may be generated and output based on the sleep stage classifications and the activity level classifications and concurrent cardiac rhythm classifications. The arrhythmia correlations may describe temporal relationships between detected cardiac arrhythmias and specific sleep stages of the sleep stage classifications and may be output in a health report.

A system for synchronizing application of treatment signals with a cardiac rhythm is provided. The system includes a memory that receives and stores a synchronization signal indicating that a predetermined phase such as R-wave of a cardiac rhythm of a patient has started. A synchronization module analyzes whether the stored synchronization signal is erroneous and if so, prevents a medical treatment device from applying a treatment energy signal such as an IRE pulse to a patient to take into account an irregular heart beat and noise in the synchronization signal in order to maximize safety of the patient.