Atrial Fibrillation Analysis and Prediction Method Based on Cardiac Mapping Activation Sequence

Abstract

The invention provides a method for analyzing and predicting atrial fibrillation based on cardiac mapping excitation sequence diagrams, the main idea of ​​which is to convert one-dimensional time series signals into two-dimensional image data. The specific process includes the following steps: use the ECG mapping technology to obtain synchronously collected multi-channel ECG signals; draw the isoelectric map of the voltage amplitude of the sampling point at the same time according to the electrode position; draw the isoelectric map within a certain period of time according to Synthesize an activation sequence diagram at a certain time interval; extract the characteristics of the activation sequence diagram in this time period, and use image classification to realize the analysis and prediction of atrial fibrillation. The invention can be used to study the conduction law of electrocardiogram in the mapping area, is suitable for sinus rhythm signals or atrial flutter and atrial fibrillation signals, and has certain application value in electrophysiological mechanism research and clinical medicine. This method can be extended to all classification or prediction studies of electrophysiological signals.

Description

technical field [0001] The invention relates to a method for analyzing and predicting atrial fibrillation based on cardiac mapping excitation sequence diagrams. Background technique [0002] Cardiac mapping technology mainly obtains the electrical activity information of the heart through multi-channel high-speed synchronous acquisition technology, presents this information in the form of a map, and provides various parameters for research and analysis. Researchers can analyze the characteristics of cardiac electrical conduction through the mapped data to determine the type or origin of arrhythmia. Cardiac mapping technology plays a particularly important role in the study of complex arrhythmias such as atrial fibrillation. [0003] In cardiac mapping technology, due to the large number of mapping electrodes used, the law of atrial fibrillation can be summarized by studying the conduction rules between each mapping electrode point. In atrial fibrillation, the atrial activa...

AI Technical Summary

Problems solved by technology

However, the effective information contained in the RR interval is limited, and the simple use of the RR interval to realize the analysis and prediction of atrial fibrillation is easy to ignore the effective information

For example, the calculation of the RR interval average value and standard deviation used in the linear analysis method will cause a lot of detailed information to be ignored; nonlinear methods such as approximate entropy and sample entropy often need to select longer RR interval data

Moreover, the traditional method neglects to study the conduction path and activity law of ECG according to the spatial position and excitation time of each electrode point.

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