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Content Provider | IET Digital Library |
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Author | Nagai, Shuto Anzai, Daisuke Wang, Jianqing |
Abstract | 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. |
Starting Page | 138 |
Ending Page | 141 |
Page Count | 4 |
Volume Number | 4 |
e-ISSN | 20533713 |
Issue Number | Issue 4, Aug (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/4/4 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2016.0100 |
Journal | Healthcare Technology Letters |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2017-06-14 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Bioelectric Signal Biology And Medical Computing Biomedical Engineering Digital Signal Processing Electrical Activity in Neurophysiological Processes Electrocardiography Function Theory And Analysis Healthcare Integral Transforms Medical Signal Processing Motion Artefact Removals Stationary Wavelet Transform SWT Wavelet Transform Wearable ECG Wearable Electrocardiogram |
Content Type | Text |
Resource Type | Article |
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