Atrial fibrillation analysis and prediction method based on cardiac mapping excitation sequence diagram

Abstract

The invention provides an atrial fibrillation analysis and prediction method based on a cardiac mapping excitation sequence diagram. The main idea of the atrial fibrillation analysis and prediction method is to convert a one-dimensional time sequence signal into two-dimensional image data. The specific process comprises the following steps: acquiring multiple paths of synchronously acquired electrocardiosignals by using an electrocardiographic mapping technology; drawing an equipotential diagram of the voltage amplitudes of sampling points at the same moment according to the positions of electrodes; synthesizing the equipotential diagrams in a certain period of time into an excitation sequence diagram according to a certain time interval; extracting features of the excitation sequence diagram in the time period, and analyzing and predicting atrial fibrillation by an image classification mode. The method can be used for researching the electrocardio conduction rule of a mapping area, issuitable for sinus heart rhythm signals or atrial flutter and atrial fibrillation signals, and has a certain application value in the electrophysiological mechanism research and clinical medicine. The method can be popularized to classification or prediction research of all 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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