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)

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.

ORCID iDs

Bin Hashim, Fakroul Ridzuan ORCID: https://orcid.org/0000-0003-2638-3006

Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670

Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391

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• Item metadata

  Item type:	Book Section
  ID code:	47184
  Dates:	Date Event 17 December 2012 Published
  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:	21 May 2023 03:09
  Related URLs:	http://ieeexplore.ieee.org/xpl/articleDe...
  URI:	https://strathprints.strath.ac.uk/id/eprint/47184