By Topic

The Pretreatment Method for Epicardial Potential Mapping Signals Based on Independent Component Analysis and Wavelet Transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yu Zhou ; Dept. of Electron. Eng., Fudan Univ., Shanghai ; Cuiwei Yang ; Zuxiang Fang

To guarantee the preciseness and credibility of the epicardial potential mapping (EPM) signals used for cardiac electrophysiology research, pretreatment including denoising and characteristics recognition for EPM signals is necessary. So a new pretreatment method based on independent component analysis (ICA) and wavelet transform (WT) was designed: first to denoise EPM signals based on ICA with a new noise independent component selection measurement: the dispersion of independent components' projection coefficients to every electrode, then to recognize the EPM signals' characteristics according to their spline WT in the third scale. The results indicated that the method could denoise EPM signals efficiently with reserving or even strengthening the true depolarization signals detected at electrodes and recognize EPM signals' characteristics correctly. So this new pretreatment method is fit for EPM system.

Published in:

BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on  (Volume:2 )

Date of Conference:

27-30 May 2008