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2014 Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal
Balambigai Subramanian, Asokan Ramasamy, Kamalakannan Rangasamy
J. Appl. Math. 2014(SI03): 1-8 (2014). DOI: 10.1155/2014/241540

Abstract

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).

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Balambigai Subramanian. Asokan Ramasamy. Kamalakannan Rangasamy. "Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal." J. Appl. Math. 2014 (SI03) 1 - 8, 2014. https://doi.org/10.1155/2014/241540

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Published: 2014
First available in Project Euclid: 1 October 2014

Digital Object Identifier: 10.1155/2014/241540

Rights: Copyright © 2014 Hindawi

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Vol.2014 • No. SI03 • 2014
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