American Journal of Applied Sciences

ECG Signal Denoising By Wavelet Transform Thresholding

Mikhled Alfaouri and Khaled Daqrouq

DOI : 10.3844/ajassp.2008.276.281

American Journal of Applied Sciences

Volume 5, Issue 3

Pages 276-281

Abstract

In recent years, ECG signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. In this paper a new approach based on the threshold value of ECG signal determination is proposed using Wavelet Transform coefficients. Electrocardiography has had a profound influence on the practice of medicine. The electrocardiogram signal contains an important amount of information that can be exploited in different manners. The ECG signal allows for the analysis of anatomic and physiologic aspects of the whole cardiac muscle. Different ECG signals are used to verify the proposed method using MATLAB software. Method presented in this paper is compared with the Donoho's method for signal denoising meanwhile better results are obtained for ECG signals by the proposed algorithm.

Copyright

© 2008 Mikhled Alfaouri and Khaled Daqrouq. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.