J-wave detection and classification method based on tunable Q-factor wavelet transform and higher-order cumulant

Abstract

The invention relates to a J-wave detection and classification method, and particularly relates to a J-wave detection and classification method based on tunable Q-factor wavelet transform and a higher-order cumulant. The J-wave detection and classification method comprises the steps of firstly performing electrocardiogram data acquisition through an electrocardiogram machine, and acquiring normal signals and J-wave signals; performing R peak point detection by applying stationary wavelet transform, and intercepting 128 points after an R-point to act as an initial data sample; decomposing the initial sample by applying stationary wavelet transform and tunable Q-factor wavelet transform, and extracting a feature vector; inputting the feature vector into an integrated C4.5 decision-making tree; and then extracting a feature vector of a test sample according to the above procedures, inputting the feature vector into the well trained C4.5 decision-making tree, and acquiring a category attribute of the test sample. According to the invention, a low-dimensionality feature vector with high representation for original signals can be acquired more simply and more conveniently through serial fusion after quick ICA dimension reduction, and accurate classification for the J-wave signals can be realized quickly and efficiently by inputting the feature vector into an integrated decision-making tree classifier.

Description

technical field [0001] The invention relates to a J-wave detection and classification method, in particular to a J-wave detection and classification method based on Q-switched wavelet transform and high-order cumulants. Background technique [0002] First discovered by Tomashewski in 1938, the J wave is a pause that occurs near the J point (the point where the end of the QRS wave meets the beginning of the ST segment). At present, diseases such as malignant ventricular arrhythmia, syncope, and sudden death caused by J wave are collectively referred to as J wave syndrome clinically. More specifically, it is divided into two types: acquired and inherited. Acquired J wave syndrome includes ischemic J wave and hypothermic J wave. Hereditary includes early repolarization syndrome (Early Repolarization Syndrome, ERS) and Brugada syndrome (Brugada Syndrome, BrS). [0003] A large number of clinical analyzes have shown that J waves are significantly associated with cardiovascular ...

AI Technical Summary

Problems solved by technology

[0007] The main purpose of the present invention is to make up for the low deficiency of the existing J-wave signal detection accuracy, and provide a J-wave detection and classification method based on Q-switched wavelet transform and high-order cumulants

Images