Wavelet based motion artifact removal for ECG signals

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

doi:10.1109/IECBES.2012.6498019

Wavelet based motion artifact removal for ECG signals

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

Electronic And Electrical Engineering

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

24 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 language	English
Title of host publication	2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
Publisher	IEEE
Pages	339-342
Number of pages	4
ISBN (Print)	9781467316644
DOIs	https://doi.org/10.1109/IECBES.2012.6498019
Publication status	Published - 17 Dec 2012
Event	2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) - Langkaw, Malaysia Duration: 17 Dec 2012 → 19 Dec 2012

Conference

Conference	2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
Country/Territory	Malaysia
City	Langkaw
Period	17/12/12 → 19/12/12

Keywords

wavelet based motion
artifact removal
ECG signals

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10.1109/IECBES.2012.6498019

Cite this

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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.",

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T1 - Wavelet based motion artifact removal for ECG signals

AU - Bin Hashim, Fakroul Ridzuan

AU - Petropoulakis, Lykourgos

AU - Soraghan, John

AU - Bin Safie, Sairul Izwan

PY - 2012/12/17

Y1 - 2012/12/17

N2 - 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.

AB - 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.

KW - wavelet based motion

KW - artifact removal

KW - ECG signals

UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6498019

U2 - 10.1109/IECBES.2012.6498019

DO - 10.1109/IECBES.2012.6498019

M3 - Chapter (peer-reviewed)

SN - 9781467316644

SP - 339

EP - 342

BT - 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

PB - IEEE

T2 - 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

Y2 - 17 December 2012 through 19 December 2012

ER -

Wavelet based motion artifact removal for ECG signals

Abstract

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Keywords

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