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

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.

Creators(s): Bin Hashim, Fakroul Ridzuan ORCID logoORCID: https://orcid.org/0000-0003-2638-3006, Petropoulakis, Lykourgos ORCID logoORCID: https://orcid.org/0000-0003-3230-9670, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Bin Safie, Sairul Izwan;
Item type:Book Section
ID code:47184
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:20 Jan 2021 15:34
Related URLs:
URI:https://strathprints.strath.ac.uk/id/eprint/47184
Export data:
CORE (COnnecting REpositories)