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A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection
Open AccessArticle

A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs

School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
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Sensors 2020, 20(4), 970; https://doi.org/10.3390/s20040970
Received: 28 November 2019 / Revised: 7 February 2020 / Accepted: 10 February 2020 / Published: 11 February 2020
(This article belongs to the Special Issue Wearable Electronics, Smart Textiles and Computing)
Wearable electrocardiogram (ECG) devices are universally used around the world for patients who have cardiovascular disease (CVD). At present, how to suppress motion artifacts is one of the most challenging issues in the field of physiological signal processing. In this paper, we propose an adaptive cancellation algorithm based on multi-inertial sensors to suppress motion artifacts in ambulatory ECGs. Firstly, this method collects information related to the electrode motion through multi-inertial sensors. Then, the part that is not related to the electrode motion is removed through wavelet transform, which improves the correlation of the reference input signal. In this way, the ability of the adaptive cancellation algorithm to remove motion artifacts is improved in the ambulatory ECG. Subsequent experimentation demonstrated that the wavelet adaptive cancellation algorithm based on multi-inertial sensors can effectively remove motion artifacts in ambulatory ECGs.
Keywords: adaptive cancellation algorithm; motion artifacts; inertial sensors; wavelet transform adaptive cancellation algorithm; motion artifacts; inertial sensors; wavelet transform
MDPI and ACS Style

Xiong, F.; Chen, D.; Huang, M. A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs. Sensors 2020, 20, 970.

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