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Motion artefact removals for wearable ECG using stationary wavelet transform

Wearable Electrocardiogram (ECG) is attracting much attention in daily healthcare applications. From the viewpoint of long-term use, it is desired that the electrodes are non-contact with the human body. In this study, the authors propose an algorithm using the stationary wavelet transform (SWT) to...

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Detalles Bibliográficos
Autores principales: Nagai, Shuto, Anzai, Daisuke, Wang, Jianqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569871/
https://www.ncbi.nlm.nih.gov/pubmed/28868151
http://dx.doi.org/10.1049/htl.2016.0100
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author Nagai, Shuto
Anzai, Daisuke
Wang, Jianqing
author_facet Nagai, Shuto
Anzai, Daisuke
Wang, Jianqing
author_sort Nagai, Shuto
collection PubMed
description Wearable Electrocardiogram (ECG) is attracting much attention in daily healthcare applications. From the viewpoint of long-term use, it is desired that the electrodes are non-contact with the human body. In this study, the authors propose an algorithm using the stationary wavelet transform (SWT) to remove motion artefact superimposed on ECG signal when using non-contact capacitively coupling electrodes. The authors evaluate the effect on motion artefact removal of this algorithm by applying it to various ECG signals with motion artefacts superimposed. As a result, the correlation coefficients of ECG signals with respect to the clean ones have been improved from 0.71 to 0.88 on median before and after motion artefact removal, which demonstrates the validity of the proposed SWT-based algorithm.
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spelling pubmed-55698712017-09-01 Motion artefact removals for wearable ECG using stationary wavelet transform Nagai, Shuto Anzai, Daisuke Wang, Jianqing Healthc Technol Lett Article Wearable Electrocardiogram (ECG) is attracting much attention in daily healthcare applications. From the viewpoint of long-term use, it is desired that the electrodes are non-contact with the human body. In this study, the authors propose an algorithm using the stationary wavelet transform (SWT) to remove motion artefact superimposed on ECG signal when using non-contact capacitively coupling electrodes. The authors evaluate the effect on motion artefact removal of this algorithm by applying it to various ECG signals with motion artefacts superimposed. As a result, the correlation coefficients of ECG signals with respect to the clean ones have been improved from 0.71 to 0.88 on median before and after motion artefact removal, which demonstrates the validity of the proposed SWT-based algorithm. The Institution of Engineering and Technology 2017-06-14 /pmc/articles/PMC5569871/ /pubmed/28868151 http://dx.doi.org/10.1049/htl.2016.0100 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Article
Nagai, Shuto
Anzai, Daisuke
Wang, Jianqing
Motion artefact removals for wearable ECG using stationary wavelet transform
title Motion artefact removals for wearable ECG using stationary wavelet transform
title_full Motion artefact removals for wearable ECG using stationary wavelet transform
title_fullStr Motion artefact removals for wearable ECG using stationary wavelet transform
title_full_unstemmed Motion artefact removals for wearable ECG using stationary wavelet transform
title_short Motion artefact removals for wearable ECG using stationary wavelet transform
title_sort motion artefact removals for wearable ecg using stationary wavelet transform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569871/
https://www.ncbi.nlm.nih.gov/pubmed/28868151
http://dx.doi.org/10.1049/htl.2016.0100
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