Wavelet based motion artifact removal for ECG signals

Bin Hashim, Fakroul Ridzuan and Petropoulakis, Lykourgos and Soraghan, John and Bin Safie, Sairul Izwan; (2012) Wavelet based motion artifact removal for ECG signals. In: 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, MYS, pp. 339-342. ISBN 9781467316644

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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.

Creators(s): Bin Hashim, Fakroul Ridzuan ORCID logoORCID: https://orcid.org/0000-0003-2638-3006, Petropoulakis, Lykourgos ORCID logoORCID: https://orcid.org/0000-0003-3230-9670, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Bin Safie, Sairul Izwan;
Item type:Book Section
ID code:47184
Keywords:wavelet based motion, artifact removal, ECG signals, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited:13 Mar 2014 10:07
Last modified:20 Nov 2020 04:30
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URI:https://strathprints.strath.ac.uk/id/eprint/47184
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