J wave detection and classification method based on correlation analysis characteristic selection

Abstract

The invention relates to a detection, recognition and classification method for a J wave, specifically a J wave detection and classification method based on correlation analysis characteristic selection. The method comprises the following steps: carrying out the preprocessing of an ECG signal, and carrying out the denoising and segmenting of the signal; carrying out three-layer wavelet packet decomposition of the segmented signal, carrying out the analysis of a third-layer coefficient, and calculating the area between a research segment and a base line; calculating the second-order, third-order and fourth-order cumulant characteristics and energy characteristics of the third-layer coefficient; carrying out the correlation analysis of the cumulant characteristics and energy characteristics, and carrying out the characteristic selection according to a classification effect; employing the selected characteristics as the input of an SVM (support vector machine) classifier, carrying out the classification and recognition of a normal signal and a J-wave signal, and successfully detecting the J-wave signal. According to the invention, a correlation analysis characteristic selection method is used for characteristic screening, thereby removing the redundant characteristics and improving the classification accuracy.

Description

technical field [0001] The invention relates to a method for detecting, identifying and classifying J waves, in particular to a method for detecting and classifying J waves based on correlation analysis feature selection. Background technique [0002] The J point is a sudden turning point at the junction of the QRS complex and the ST segment on the electrocardiogram (ECG), which marks the end of ventricular depolarization and the beginning of repolarization, and the setback after the J point is called the J wave. The general term for malignant arrhythmias, sudden death or other serious cardiovascular diseases caused by J waves is called J wave syndrome. These include Brugada syndrome, idiopathic ventricular fibrillation (VF), hyperacute phase of acute coronary syndrome, and early repolarization syndrome, which can cause malignant arrhythmias, sudden death, or other serious cardiovascular disease. [0003] The electrocardiogram is an important tool to assist doctors in diagn...

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Problems solved by technology

[0004] However, in the existing methods for detecting J waves, there may be related features in the extracted features, on the one hand, it will lead to the extension of the time required to analyze the features and train the model; on the other hand, it will produce a "dimension disaster".

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