Method for identifying sino atrial node electrogram based on integration of wavelet transform and support vector machine

A support vector machine and wavelet transform technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve problems such as the difficulty of diagnosis for clinicians, and achieve high accuracy and efficiency

Inactive Publication Date: 2013-03-27
CHONGQING COLLEGE OF ELECTRONICS ENG
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Problems solved by technology

The shape, amplitude and other parameters of the sinoatrial node electrogram waveform are related to the

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  • Method for identifying sino atrial node electrogram based on integration of wavelet transform and support vector machine
  • Method for identifying sino atrial node electrogram based on integration of wavelet transform and support vector machine
  • Method for identifying sino atrial node electrogram based on integration of wavelet transform and support vector machine

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Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with specific embodiments.

[0055] figure 1 It is an overall flow chart of the sinoatrial node electrogram recognition method based on double-density wavelet transform and support vector machine for realizing the method of the present invention. The specific functions are described as follows:

[0056] S1: first preprocessing the acquired sinoatrial node electrogram (SNE);

[0057] S2: Decomposing the signal obtained in S1 by double-density wavelet transform;

[0058] S3: For the scaling function in S2, perform the positioning of the characteristic waveform A wave and the P front wave and measure the characteristic parameters;

[0059] S4: Perform wavelet cross-entropy calculation on the wavelet coefficients corresponding to the A wave and the P front wave detected in S3;

[0060] S5: Perform feature fusion on the feature parameters and wavelet cross-entropy features obtained in S3 and S4;

[0...

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Abstract

The invention discloses a method for identifying sino atrial node electrogram based on integration of wavelet transform and a support vector machine, comprising the following steps of: firstly carrying out wavelet filtering processing on a sino atrial node electrogram signal based on a bivariate shrinkage function; then carrying out four-layer double density wavelet transform on the interference eliminated signal, carrying out V wave peak value positioning on a scaling function x(n) at the fourth layer by means of an adaptive slope method, based on the above processing, positioning an A wave peak value, calculating time width characteristic TA of the A wave, and positioning a starting point and an ending point of a P forward wave to obtain sino atrial node conduction time TSACT (Total Sino Atrial Conduction time); and respectively calculating cross entropies HA and HP of two double density wavelet coefficients of the A wave and the P forward wave, carrying out tandem fusion on the above characteristic parameters of TA, TSACT, HA and HP to obtain a fusion characteristic vector FSNE=(TATSACTHAHP), and finally sorting the characteristic vector using a wavelet support vector machine so as to realize the identification of the sino atrial node function.

Description

technical field [0001] The invention specifically relates to a sinoatrial node electrogram recognition method based on double-density wavelet transform and support vector machine, through which the information processing and recognition of the sinoatrial node electrogram obtained from the body surface can be realized. Thus, the application of sinoatrial node electrogram-based recognition in clinical medicine has been greatly improved, and the high accuracy and efficiency of sinoatrial node electrogram recognition can be ensured in terms of methods and techniques. Background technique [0002] The sinoatrial node is a special nodule made of special cells located on the right atrium of the human body. The sinoatrial node can automatically and rhythmically generate current, and the current is transmitted to various parts of the heart in the order of conduction tissue, thereby causing the contraction and relaxation of cardiomyocytes. The sinoatrial node electrogram is a high-re...

Claims

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Application Information

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IPC IPC(8): A61B5/0452
Inventor 王林泓李国军尹洪剑周晓娜刘睿强毛小群
Owner CHONGQING COLLEGE OF ELECTRONICS ENG
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