DocumentCode
1948998
Title
Wavelet based motion artifact removal for ECG signals
Author
Hashim, F.R. ; Petropoulakis, Lykourgos ; Soraghan, John ; Safie, Sairul I.
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
339
Lastpage
342
Abstract
Motion artifact noise in ECG processing is difficult to remove since its spectrum is known to overlap the ECG signal spectrum. The combination of wavelet based denoising and high-pass/low-pass filtering is presented and shown to provide good motion artifact noise removal capabilities. The relative performance of the new technique is demonstrated using ECGs from the MIT-BIH ECG database.
Keywords
electrocardiography; high-pass filters; low-pass filters; medical signal processing; signal denoising; wavelet transforms; ECG processing; ECG signal spectrum; MIT-BIH ECG database; high-pass filtering; low-pass filtering; motion artifact noise removal capabilities; wavelet based denoising; wavelet based motion artifact removal; ECG; MIT-BIH database; motion artifact; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1664-4
Type
conf
DOI
10.1109/IECBES.2012.6498019
Filename
6498019
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