Motion Artifact Elimination Using Fuzzy Rule Based Adaptive Nonlinear Filter (Special Section on Signal Processing and System Theory)

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概要

• 論文の詳細を見る

• Myoelectric (ME) signals during dynamic movement suffer from motion artifact noise caused by mechanical friction between electrodes and the skin. It is difficult to reject artifact noises using linear filters, because the frequency components of the artifact noise include those of ME signals. This paper describes a nonlinear method of eliminating artifacts. It consists of an inverse autoregressive (AR) filter, a nonlinear filter, and an AR filter. To deal with ME signals during dynamic movement, we introduce an adaptive procedure and fuzzy rules that improve the performance of the nonlinear filter for local features. The result is the best ever reported elimination performance. This fuzzy rule based adaptive nonlinear artifact elimination filter will be useful in measurement of ME signals during dynamic movement.

• 社団法人電子情報通信学会の論文
• 1994-05-25

著者

• KIRYU Tohru

  Graduate School of Science and Technology, Niigata University

• SAITOH Yoshiaki

  Dept. of Bio-Cybernetics, Niigata University

• SAITOH Yoshiaki

  Faculty of Engineering, Niigata University

• Kiryu Tohru

  Faculty of Engineering, Niigata University

• Kiryu T

  Graduate School Of Science And Technology Niigata University

• Saitoh Yoshiaki

  Dept. Of Bio-cybernetics Niigata University

• KANEKO Hidekazu

  National Institute of Bioscience and Human-Technology, AIST, MITI

• Kaneko Hidekazu

  Institute For Human Science And Biomedical Engineering National Institute Of Advanced Industrial Sci

• Kaneko Hidekazu

  National Institute Of Advanced Industrial Science And Technology (aist)

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