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
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;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
DOI :
10.1109/IECBES.2012.6498019
