Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (12): 65-70.doi: 10.3969/j.issn.1000-565X.2017.12.010

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

A Feed-Forward Combined Adaptive Filter for Suppressing Motion Artifact in Ambulatory Electrocardiogram

ZHANG Huan-qian1,2 ZHANG Shu-lin1 DU Xiao-wei1 JIN Qing-hui1 LI Qing3 YANG Jian3 ZHAO Jian-long1   

  1. 1.Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China; 2.University of Chinese Academy of Sciences,Beijing 100049,China; 3.Central Hospital of Xuhui District,Shanghai 200031,China
  • Received:2017-02-17 Revised:2017-04-19 Online:2017-12-25 Published:2017-10-31
  • Contact: 赵建龙(1969-)，男，研究员，博士生导师，主要从事生物传感器研制研究． E-mail:jlzhao@mail.sim.ac.cn
  • About author:张洹千(1983-)，男，博士生，主要从事生物传感器研制研究． E-mail:huanqian．zhang@mail．sim．ac．cn
  • Supported by:
     Supported by the Foundation of Shanghai Municipal Science and Technology Commission(14521106200)

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Abstract: The least mean square adaptive filter (LMS-AF) and the variable step size LMS-AF (VSS-LMS-AF) have been widely used to suppress the motion artifact (MA) from ambulatory electrocardiograms (AECG).How- ever,due to the fact that the non-stationary property of the MA and the AECG increases the mis-adjustment of fil- ters,although the combined AF (C-AF) has advantages in tracking non-stationary signals，it still suffers from a signal distortion.In order to further decrease the signal distortion and improve the MA suppression ability,a new feed-forward combined AF (FFC-AF) is proposed,in which the stationary degree of the MA is estimated by using a reference signal and two parallel AF outputs are combined.Then,a simulation experiment with the AECG re- cording on ten healthy volunteers is conducted to assess the performance of the FFC-AF.The results show that,as compared with the C-AF,the FFC-AF is of less signal distortion and larger signal artifact ratio.Therefore,it can be used to suppress the MA in the AECG.

Key words: Ambulatory Electrocardiogram, Motion Artifact, Adaptive Filter, Distortion, Signal to Artifact Ratio