RT Journal Article
A1 Shuto Nagai
A1 Daisuke Anzai
A1 Jianqing Wang

PB iet
T1 Motion artefact removals for wearable ECG using stationary wavelet transform
JN Healthcare Technology Letters
VO 4
IS 4
SP 138
OP 141
AB 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.
K1 SWT
K1 stationary wavelet transform
K1 wearable ECG
K1 wearable electrocardiogram
K1 motion artefact removals
DO https://doi.org/10.1049/htl.2016.0100
UL https://digital-library.theiet.org/;jsessionid=3iwco224wt2na.x-iet-live-01content/journals/10.1049/htl.2016.0100
LA English
SN
YR 2017
OL EN