Motion artefact removals for wearable ECG using stationary wavelet transform

Healthcare Technology Letters

article

Shuto Nagai¹  Daisuke Anzai¹  Jianqing Wang¹ 

[1] Nagoya Institute of Technology

关键词: electrocardiography;    wavelet transforms;    health care;    medical signal processing;    motion artefact removals;    wearable ECG;    stationary wavelet transform;    wearable electrocardiogram;    SWT;   

DOI  :  10.1049/htl.2016.0100

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

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.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND