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Developing mathematical theories of the physical world: Open Access research on fluid dynamics from Strathclyde

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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, 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.