Wavelet based motion artifact removal for ECG signals

Fakroul Ridzuan Bin Hashim, Lykourgos Petropoulakis, John Soraghan, Sairul Izwan Bin Safie

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

13 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
PublisherIEEE
Pages339-342
Number of pages4
ISBN (Print)9781467316644
DOIs
Publication statusPublished - 17 Dec 2012
Event2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) - Langkaw, Malaysia
Duration: 17 Dec 201219 Dec 2012

Conference

Conference2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
CountryMalaysia
CityLangkaw
Period17/12/1219/12/12

Keywords

  • wavelet based motion
  • artifact removal
  • ECG signals

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