30 results about "ATRIAL RHYTHMS" patented technology

The present invention relates to a method for the treatment or prevention of atrial fibrillation and/or atrial flutter comprising coadministration of a synergistically therapeutic amount of dronedarone or a pharmaceutically acceptable salt or salts thereof and a synergistically therapeutic amount of ranolazine or a pharmaceutically acceptable salt or salts thereof. Also provided are methods for modulating ventricular and atrial rhythm and rate. This invention also relates to pharmaceutical formulations that are suitable for such combined administration.

The invention relates to the use of atrial pacing therapies to treat atrial tachycardia (AT). When an AT episode is detected, an implantable medical device applies an ATP therapy. If the AT episode persists, the ATP therapy may be automatically reapplied at a later time during the course of the same AT episode. In particular, previously used ATP therapies are reapplied when episodic conditions, such as cycle length or cycle regularity, change. Although a particular ATP therapy initially may be unsuccessful in terminating the AT, it may prove successful when the cycle length or regularity of the atrial rhythm changes. As the rhythm slows down, the AT may be more responsive to ATP therapies that were previously unsuccessful. As a result, potentially efficacious ATP therapies can be reapplied to terminate AT episodes, and reduce the number of episodes that require more aggressive termination by painful, atrial shocks.

A method for identifying a susceptibility of a subject to atrial-rhythm disturbances includes a) placing a plurality of sensors on the subject to measure a physiologic signal of the subject, and b) recording the physiologic signal from the sensor. The physiologic signal includes an atrial electrical activity of the subject. The method includes c) determining a beat-to-beat variability in the atrial electrical activity of the subject. The beat-to-beat variability includes alternans of electrocardiographic waveforms of a predetermined number of a sequence of heart beats. The method includes d) determining a susceptibility to atrial-rhythm disturbances of the subject using the beat-to-beat variability in the atrial electrical activity determined in step c), and e) generating a report of the susceptibility to atrial-rhythm disturbances of the subject.

The invention discloses a system for judging age and health status and identifying malignant arrhythmia by a pulse signal time-space domain combination model. The system comprises the following steps:acquiring pulse signals at a vessel part of the body surface of a human body for a preset time length; performing pulse signal time-space resolution modeling; and performing malignant arrhythmia identification and outbreak prediction based on the parameters of the pulse time-space analytical model. The invention proposes use of the pulse time-space analytical model to quantitatively describe pulse signal periods and waveform change, can judge age and rhythm of the heart, and can realize intelligent identification of malignant arrhythmia and outbreak early warning.

The invention belongs to the technical field of medical equipment, and particularly relates to an in-vitro defibrillator for distinguishing ventricular tachycardia and ventricular fibrillation automatically on the basis of a symbol sequence entropy of second derivative codes. In the in-vitro defibrillator, shockable rhythms are distinguished automatically to be the ventricular tachycardia or the ventricular fibrillation by calculating the symbol sequence entropy of second derivative codes of a signal, so that the appropriate defibrillation scheme is determined on the basis of the ventricular tachycardia or the ventricular fibrillation, wherein the scheme comprises the following steps of: preprocessing, namely filtering the collected electrocardiosignal; identifying if the electrocardiosignal is the shockable rhythms or not; calculating the symbol sequence entropy of the second derivative codes of the shockable rhythms; distinguishing the ventricular tachycardia/the ventricular fibrillation according to the symbol sequence entropy; and deciding the defibrillation scheme according to the ventricular tachycardia/the ventricular fibrillation. The in-vitro defibrillator can reduce the injury on mind and bodies of patients and improve the pertinence and success rate of defibrillation.

A combination cardiac stimulator for CRT stimulation and CCM stimulation, which is connected to a rhythm evaluation unit which can either detect a sinus rhythm that is present, or classify an atrial arrhythmia, and which comprises an additional therapy selection unit, wherein the therapy selection unit selects the delivery of either CRT therapy or CCM therapy on the basis of the classification of the atrial rhythm such that CRT therapy is preferred in the case of sinus rhythm, and CCM therapy is delivered in the case of atrial arrhythmia.

An implantable cardioverter defibrillator system and method are provided having configurable shock therapies selected based on an evaluation of the atrial rhythm status following a ventricular tachycardia or fibrillation detection. A dual chamber shock configuration is selected if the ventricular arrhythmia is co-existing with an atrial arrhythmia of recent onset. A ventricular only shock configuration is selected if the ventricular arrhythmia is co-existing with a sustained atrial arrhythmia.

An implantable pacing system with single, double and triple chamber pacing capabilities, provided individually or in concert on a conditional or continuous basis depending upon ongoing analyses of atrial rhythm status, atrioventricular conduction status and ventricular rate. A mode is selected to reduce the occurrence of any ventricular pacing in favor of intrinsic atrioventricular and ventricular conduction. If excessively long PR intervals are occurring too frequently or atrioventricular conduction is unreliable or absent, the implantable pulse generator is operated in a conditional triple chamber pacing mode that provides atrial-synchronous biventricular pacing in every cardiac cycle for a period of time as necessary to restore and maintain AV synchrony, while minimizing ventricular asynchrony otherwise associated with monochamber RV pacing as in conventional dual chamber pacing systems. Similarly, biventricular pacing is provided in every cardiac cycle when ventricular rates are undesirably slow during atrial fibrillation, where AV synchronization is excluded.

Implantable cardiac stimulator, with chamber stimulation unit connectable to left/right ventricular stimulation electrode to generate/deliver chamber stimulation pulses for stimulation of ventricle; ventricular sensing unit (VSU) to detect respective chamber contraction and deliver ventricular sensing signal when chamber contraction detected; optional atrial stimulation unit, connectable to atrial stimulation electrode to generate atrial stimulation pulses to stimulate atrium; atrial sensing unit, to detect atrial contraction, deliver atrial sensing signal indicating respective atrial event; tachycardia detection unit, connected to VSU to detect and categorize ventricular/supraventricular tachycardia; treatment control unit (TCU), triggers chamber stimulation unit to deliver antitachycardiac stimulation (ATP); analyzer unit, connected to atrial sensing unit and TCU. Analyzes atrial events from sensing unit before/during/after delivering antitachycardiac stimulation for atrial rhythm pattern during ventricular ATP by comparison atrial rhythm pattern immediately before ATP and to trigger TCU as function of ATP response signal representing comparison result for selection of the following antitachycardiac treatment.

The invention discloses an electrocardiosignal classification method and system based on multi-domain feature learning, and the method comprises the steps: carrying out the preprocessing of an original electrocardiosignal, i.e., extracting an RR interval sequence and P-wave region data of the electrocardiosignal, and carrying out the time-frequency conversion of the P-wave region data, and obtaining a P-wave region time-frequency graph; performing multi-domain feature extraction on the electrocardiosignals to obtain heart rhythm feature representation, atrial activity feature representation and global spatial-temporal feature representation of the electrocardiosignals; and fusing the heart rhythm feature representation, the atrial activity feature representation and the global spatio-temporal feature representation to obtain fused features of the electrocardiosignals, and inputting the fused features into a classification layer to obtain a classification result of the electrocardiosignals. According to the method, collection and fusion of multi-domain features are achieved, local features and global features are combined, more complete patient representation is obtained, and then the precision of a model classification result is improved. Particularly, when the method is applied to atrial fibrillation classification, the classification result is of great significance for clinically assisting doctors to make decisions.

A heart stimulator for enhancing cardiac performance of a patient suffering from ventricular rhythms that tend to overdrive the patient's atrial rhythm, has sensing circuitry that detects atrial events and ventricular events, and an atrial stimulator that generates and supplies stimulation pulses to the atrium. A timer generates a detection window having a predetermined duration for the ventricular sensing, the detection window starting upon detection of an intrinsic or stimulated atrial event. If an R-wave is sensed from the ventricle during the detection window, a control unit determines that a focus, that pre-depolarizes the ventricles, exists, and the control unit operates the atrial stimulator to increase the atrial stimulation rate for a predetermined number of consecutive heart cycles.

The invention relates to the technical field of medical treatment, and discloses an electrocardiogram-based processing method and processing system. The method comprises the steps of obtaining an electrocardiogram, recognizing atrial fibrillation rhythm according to the electrocardiogram, and recording atrial fibrillation waves; amplifying the amplitude of the atrial fibrillation wave; screening to obtain screened atrial fibrillation waves; and calculating the average perimeter of the atrial fibrillation waves for screening the atrial fibrillation waves. The system comprises an identificationand recording module, an amplification module, a processing module and a calculation module which are electrically connected in sequence. The algorithm program module is integrated in the electrocardiograph to process the atrial fibrillation waves, the algorithm is used for replacing a manual measuring and calculating mode, the measuring and calculating accuracy can be improved, and time and laborare saved; according to the embodiment of the invention, the key information of the atrial fibrillation electrocardiogram is analyzed through the electrocardiogram, the perimeter of the atrial fibrillation wave provided by the electrocardiogram has higher value for atrial matrix evaluation and atrial fibrillation research, and the value of electrocardiogram examination is improved.

The invention discloses an atrial fibrillation classification method, device and system based on RR interval spatial features, and the method comprises the steps: obtaining an RR interval sequence with a fixed time length, and carrying out the preprocessing of the RR interval sequence; performing sliding window cutting on the preprocessed RR interval sequence to obtain a multi-dimensional data matrix corresponding to the RR interval sequence, and performing Fourier transform on the multi-dimensional data matrix to obtain multi-dimensional space phase data of the multi-dimensional data matrix; dimension reduction is carried out on the multi-dimensional space phase data based on a principal component analysis method, feature extraction is carried out on the data after dimension reduction, and a feature matrix is obtained; inputting the feature matrix into an atrial fibrillation classification model to obtain an atrial fibrillation prediction probability; comparing the prediction probability with a preset atrial fibrillation division threshold, and determining an atrial fibrillation prediction result; according to the method, the difference between the atrial fibrillation rhythm and other types of rhythms in RR interval spatial features is effectively obtained, and atrial fibrillation recognition is effectively achieved.

Systems and methods for detecting arrhythmias in cardiac activity are provided and include memory to store specific executable instructions. One or more processors are configured to execute the specific executable instructions for obtaining first and second far field cardiac activity (CA) data sets over primary and secondary sensing channels, respectively, in connection with a series of beats. The system detects candidate atrial features from the second CA data set, identifies ventricular features from the first CA data set and utilizes the ventricular features to separate beat segments within the second CA data set. The system automatically iteratively analyzes the beat segments by overlaying an atrial activity search window with the second CA data set and determines whether one or more of the candidate atrial features occur within the atrial activity search window. The system adjusts an atrial sensitivity profile based on whether the atrial activity search window includes the one or more of the candidate atrial features and detects atrial events based on the atrial sensitivity profile.

The invention discloses an optimization calculation method for atrial fibrillation blood pressure based on the principle of oscillometry. According to the method, the working principle of blood pressure measurement through the oscillometry is adopted, through three cuffs, pulse wave signals of the two hands in the acting process of the pressure cuff are collected, and then the pulse wave signals are processed through the optimization calculation method for blood pressure. According to the optimization calculation method, in the measurement process of a patient with atrial fibrillation and arrhythmia, through the static pressure measured by the pressure cuff and the characteristics of pulse waves sensed by the other cuffs, the optimization result of the blood pressure is calculated by comparing two sets of data, the frequent problem of inaccurate blood pressure measurement result caused by irregularity of pulse waves in existing oscillometry sphygmomanometer measurement is solved, and thus the accuracy of blood pressure measurement of the patient with arrhythmia is improved. Therefore, the method is of great significance for blood pressure measurement of the patient with arrhythmia.

An implantable pacing system with single, double and triple chamber pacing capabilities, provided individually or in concert on a conditional or continuous basis depending upon ongoing analyses of atrial rhythm status, atrioventricular conduction status and ventricular rate. A mode is selected to reduce the occurrence of any ventricular pacing in favor of intrinsic atrioventricular and ventricular conduction. If excessively long PR intervals are occurring too frequently or atrioventricular conduction is unreliable or absent, the implantable pulse generator is operated in a conditional triple chamber pacing mode that provides atrial-synchronous biventricular pacing in every cardiac cycle for a period of time as necessary to restore and maintain AV synchrony, while minimizing ventricular asynchrony otherwise associated with monochamber RV pacing as in conventional dual chamber pacing systems. Similarly, biventricular pacing is provided in every cardiac cycle when ventricular rates are undesirably slow during atrial fibrillation, where AV synchronization is excluded.