Cart (Loading....) | Create Account
Close category search window
 

The sparse decomposition and compression of ECG and EEG based on matching pursuits

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

4 Author(s)
Yanling Wu ; Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hongxin Zhang ; Haiqing Wang ; Yinghua Lu

Based on Gabor over-complete dictionary, combined with genetic algorithm and matching pursuit (MP) algorithm, a fast sparse decomposition on ECG EEG signals has been accomplished and the computational complexity has been successfully reduced. Then, the sequences encoding method based on over-complete dictionary has been presented and a high compression ratio of ECG and EEG signals has been achieved. The results show that after sparse decomposition and atomic dictionary sequence coding, ECG and EEG signals have a compression ratio of 18:1. And the reconstruction error on ECG and EEG signals are 1.06% and 2.15% respectively. Compared with the traditional time-frequency parameter encoding method, this method has higher data compression rate (RA) and less reconstruction error. Meantime, when the ECG and EEG signals are reconstructed with good performance, the denoising effects are also presented. Thus, it provides a solution to the storage and transmission problems for ECG and EEG data.

Published in:

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on  (Volume:3 )

Date of Conference:

16-18 Oct. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.