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Motion Artifact Removal for Wearable ECG Using Stationary Wavelet Multi-resolution Analysis

Shuto NagaiDaisuke AnzaiJianqing Wang

Nagoya Institute of Technology

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,we propose an algorithm using the stationary wavelet transform(SWT)to remove motion artifact superimposed on ECG signal when using non-contact capacitively coupling electrodes.In addition,we confirmed that the proposed algorithm performed well on the ECG signals including a premature ventricular contraction(PVC) using MIT-BIH Arrhythmia Database.As a result,the correlation coefficients of ECG signals with respect to the clean ones have been improved from 0.61 to 0.84 on median before and after motion artifact removal,which demonstrates the validity of the proposed SWT-based algorithm.
会议名称:

The 5th International Symposium on Electromagnetic Compatibility

会议时间:

2017-10-28

会议地点:

中国北京

  • 专辑:

    医药卫生; 电子技术及信息科学

  • 专题:

    临床医学; 心血管系统疾病; 电信技术

  • 分类号:

    R540.41;TN911.7

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