J-wave detection and classification method based on Q-modulated wavelet transform and high-order cumulants

Abstract

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. The present invention first collects ECG data through an electrocardiograph, obtains two types of normal signal and J wave signal, uses stationary wavelet transform to detect R peak point, and intercepts 128 points after R point as initial data samples. Apply stationary wavelet transform and Q-switched wavelet transform to decompose initial samples and extract feature vectors. Input feature vectors to ensemble C4.5 decision trees. Then extract the feature vector of the test sample according to the above process, input it to the trained integrated C4.5 decision tree, and obtain the category attribute of the test sample. The present invention can more simply and conveniently obtain a feature vector with a lower dimension that is highly representative of the original signal through serial fusion and rapid ICA dimension reduction, and input it to the integrated decision tree classifier, which can be fast and efficient To realize the accurate classification of J wave signal.

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

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