J-wave detection method based on pole-symmetric mode decomposition and support vector machine

Abstract

The invention relates to an algorithm for detecting J wave in an electrocardiosignal based on pole symmetrical mode decomposition and a support vector machine, which is widely suitable for assisting a doctor in diagnosing whether the electrocardiosignal of a patient has J wave and is an important basis for J wave syndrome diagnosis. The invention specifically discloses a J wave detection method based on pole symmetrical mode decomposition and a support vector machine. J wave is ectrosis behind a joint point J between the end of electrocardiosignal QRS wave and the beginning of an ST section. The J wave syndrome initiated by abnormal J wave may result in high risk diseases such as malignant ventricular arrhythmia and sudden cardiac death, and takes more and more attention in clinical medicine. By using the pole symmetrical mode decomposition method, the problems of mode aliasing and the like in empirical mode decomposition are solved, ECG signals are decomposed into a series of eigen mode functions and a trend term, an instantaneous frequency feature and an energy transformation feature are extracted, the dimensionality is reduced by principal component analysis and the signals are input to the support vector machine for J wave detection.

Description

Technical field [0001] The present invention relates to an algorithm based on pole symmetry modal decomposition and support vector machine to detect J wave in ECG signal. It is widely used to assist doctors in diagnosing whether there is J wave in patient’s ECG signal. It is used to diagnose J wave syndrome. The important basis is a J wave detection method based on pole symmetry modal decomposition and support vector machine. Background technique [0002] Point J is the junction of the end of QRS wave and the beginning of ST segment on the ECG signal, marking the end of ventricular depolarization and the beginning of repolarization. The frustration after the J point is the J wave, which is a common variation of the normal ECG. J wave syndrome caused by abnormal J wave can cause symptoms such as malignant ventricular arrhythmia and sudden cardiac death, which has attracted more and more attention and attention from the medical field. Accurate detection of J wave can effectively ...

AI Technical Summary

Problems solved by technology

However, the use of Hilbert-Huang transform to detect J waves has the following problems: the number of screenings is difficult to determine, the decomposed trend function is too rough, and the Hilbert spectrum analysis is limited by mathematical theory, etc.

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