Abstract
With the development of electrode materials and noise reduction algorithms, the wearable electrocardiogram (ECG) monitoring equipment has been widely applied in our daily life. Since these monitoring devices are usually used in sport scenarios, the collected ECG signal is easily contaminated by different kinds of noises and artifacts, especially motion artifacts, and thus the noise reduction has become an urgent problem to be solved for the subsequent clinical application. In this paper, a motion artifact removal method of dynamic ECG is proposed based on variational mode decomposition (VMD) and adaptive filter, which fully explores the correlation property of the acceleration signal and motion artifacts. From experimental results we find that our proposed approach can effectively suppress the motion artifacts in the dynamic ECG signals.
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