Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal
Joint Authors
Rangasamy, Kamalakannan
Ramasamy, Asokan
Subramanian, Balambigai
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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).
American Psychological Association (APA)
Subramanian, Balambigai& Ramasamy, Asokan& Rangasamy, Kamalakannan. 2014. Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-456641
Modern Language Association (MLA)
Subramanian, Balambigai…[et al.]. Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-456641
American Medical Association (AMA)
Subramanian, Balambigai& Ramasamy, Asokan& Rangasamy, Kamalakannan. Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-456641
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456641