Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A study on the ENG Signal Processing for Multichannel System

다중 채널을 갖는 근전도의 신호처리에 관한 연구 (I)

  • Kwon, J.W. (Dept. of Electronic Eng., Inha University) ;
  • Jang, Y.G. (Dept. of Electronic Eng., Inha University) ;
  • Jung, K.H. (Dept. of Electronic Eng., Inha University) ;
  • Min, M.K. (Dept. of Information and Telecommunication Eng. Inchon University) ;
  • Hong, S.H. (Dept. of Electronic Eng., Inha University)
  • 권장우 (인하대학교 전자공학과) ;
  • 장영건 (인하대학교 전자공학과) ;
  • 정동명 (인하대학교 전자공학과) ;
  • 민홍기 (인천대학교 정보통신공학과) ;
  • 홍승홍 (인하대학교 전자공학과)
  • Published : 1991.11.15
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Abstract

In the field of prosthesis arm control, tile pattern classification of the EMG signal is a required basis process and also the estimation of force from col looted EMG data is another necessary duty. But unfortunately, what we've got is not real force but an EMG signal which contains the information of force. This is the reason why he estimate the force from the EMG data. In this paper, when we handle the EMG signal to estimate the force, spatial prewhitening process is applied from which the spatial correlation between the channels are removed. And after the orthogonal transformation, which is used in the force estimation process the transformed signal is inputed into the probabilistic model for pattern classification. To verify the different results of the multiple channels, SNR(signal to noire ratio) function is introduced.

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