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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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 ![]() ![]() ![]() | Item type: | Book Section |
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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 Jan 2021 15:34 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/47184 |
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