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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

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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

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.