A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs
A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs
复制标题
一种基于多惯性传感器的小波自适应消除算法，用于减少动态心电图中的运动伪影
DOI：
10.3390/s20040970
复制
发表时间：
2020-02-01
期刊：
影响因子：
3.9
通讯作者：
Huang, Miao
中科院分区：
文献类型：
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作者：
Xiong, Fan;Chen, Dongyi;Huang, Miao
可穿戴式心电图（ECG）设备在世界范围内普遍用于心血管疾病（CVD）患者。如何抑制运动伪影是目前生理信号处理领域最具挑战性的问题之一。本文提出了一种基于多惯性传感器的自适应抵消算法来抑制动态心电图中的运动伪影。该方法首先通过多惯性传感器采集电极运动相关信息；然后，通过小波变换去除与电极运动无关的部分，提高了参考输入信号的相关性。这样，提高了自适应对消算法在动态心电信号中去除运动伪影的能力。实验结果表明，基于多惯性传感器的小波自适应对消算法能够有效去除动态心电图中的运动伪影。
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.