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 (https://doi.org/10.1109/IECBES.2012.6498019)

Full text not available in this repository.Request a copy


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.


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;