Atrial fibrillation monitoring method based on ECG signals

Abstract

The invention discloses an atrial fibrillation monitoring method based on ECG signals, which relates to the technical field of electrocardiogram analysis, the atrial fibrillation monitoring method comprises the following steps: describing electrocardiogram 12 lead ECG original signals on the same canvas, and storing as an ECG signal picture; marking a waveform and an R wave peak in the ECG signalpicture, and training a preset identification model by using a deep convolutional neural network to obtain an R wave identification model; finding an R wave peak according to the R wave position, obtaining a position sequence vector V according to the R wave peak position, and then obtaining a difference vector V1 of the R-R interval; performing marking according to the difference vector V1, if atrial fibrillation is judged, making the atrial fibrillation as 1, otherwise, making the atrial fibrillation as 0, and then obtaining a judgment result set; performing classification training on the result set by using a classifier to obtain an atrial fibrillation recognition model; using the R-wave recognition model and the atrial fibrillation recognition model for recognizing the new electrocardiogram 12-lead ECG original signals, and then monitoring whether atrial fibrillation exists in the electrocardiogram or not. The method has the advantage of being capable of rapidly judging whether atrial fibrillation exists or not.

Description

technical field [0001] The invention relates to the technical field of electrocardiogram analysis, and in particular to an ECG signal-based atrial fibrillation monitoring method. Background technique [0002] The ECG signal is the electrocardiographic signal collected by the electrocardiograph, usually called an electrocardiogram. Each cardiac cycle in the electrocardiogram is composed of a series of regular waveforms, which are P waves, QRS complex waves and T waves, and these The start point, end point, peak, trough and period of the waveform record the detailed information of the heart activity state, which provides an important analysis basis for the diagnosis of heart diseases. In a normal person, under normal circumstances, the cardiac cycle is about 0.80s, that is, the cycle of the ECG signal is about 0.80s. [0003] The P wave is generated by the excitation of the atrium, and the second half is mainly generated by the left atrium. The normal P wave lasts from 0.08s ...

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Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem that the model of the current recognition system has difficulty in recognizing the ECG one-dimensional signal due to the relatively small morphological variation of the PQRS wave, the present invention provides a method for monitoring atrial fibrillation based on the ECG signal

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