Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The shape, amplitude and other parameters of the sinoatrial node electrogram waveform are related to the physical fitness, exercise state and test conditions of the measured object. certain degree of difficulty

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com