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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 241540, 8 pages
Research Article

Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal

1Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode District, Tamil Nadu 638052, India
2Kongunadu College of Engineering and Technology, Thottiyam, Trichy District, Tamil Nadu 621215, India

Received 22 January 2014; Revised 14 April 2014; Accepted 17 April 2014; Published 11 May 2014

Academic Editor: Feng Gao

Copyright © 2014 Balambigai Subramanian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The increase in the occurrence of cardiovascular diseases in the world has made electrocardiogram an important tool to diagnose the various arrhythmias of the heart. But the recorded electrocardiogram often contains artefacts like power line noise, baseline noise, and muscle artefacts. Hence denoising of electrocardiogram signals is very important for accurate diagnosis of heart diseases. The properties of wavelets and multiwavelets have better denoising capability compared to conventional filtering techniques. The electrocardiogram signals have been taken from the MIT-BIH arrhythmia database. The simulation results prove that there is a 29.7% increase in the performance of multiwavelets over the performance of wavelets in terms of signal to noise ratio (SNR).