팔 운동 근전신호의 식별과 동특성 해석에 관한 연구

A study on Identification of EMG Patterns and Analysis of Dynamic Characteristics of Human Arm Movements

  • 손재현 (건국대학교 전기공학과) ;
  • 홍성우 (건국대학교 전기공학과) ;
  • 이광석 (건국대학교 전기공학과) ;
  • 남문현 (건국대학교 전기공학과)
  • Son, Jae-Hyun (Department of Electrical Engineering, Kon-Kuk University) ;
  • Hong, Sung-Woo (Department of Electrical Engineering, Kon-Kuk University) ;
  • Lee, Kwang-Suk (Department of Electrical Engineering, Kon-Kuk University) ;
  • Nam, Moon-Hyun (Department of Electrical Engineering, Kon-Kuk University)
  • 발행 : 1991.07.18

초록

This paper is concerned with the artificial control of prosthetic devices using the electromyographic(EMG) activities of biceps and triceps in human subject during isometric contraction adjustments at the elbow. And it was analysised about recognition of EMG signals and dynamic characteristics at arm movements of human. For this study the error signal of autoregressive(AR) model were used to discriminate arm movement patterns of human. Interaction of dynamic characteristics (Position, Velocity, Acceleration) and EMG of biceps and triceps at arm movements of human was measured.

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