Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지

A Study on EMG functional Recognition Using Neural Network

신경 회로망을 이용한 EMG신호 기능 인식에 관한 연구

  • Jo, Jeong-Ho (Dept. of Electrical Engineering, Yunsei University) ;
  • Choi, Joon-Ho (Dept. of Electrical Engineering, Yunsei University) ;
  • Wang, Moon-Sung (Dept. of Electrical Engineering, Yunsei University) ;
  • Park, Sang-Hui (Dept. of Electrical Engineering, Yunsei University)
  • 조정호 (연세대학교 전기공학과) ;
  • 최윤호 (연세대학교 전기공학과) ;
  • 왕문성 (연세대학교 전기공학과) ;
  • 박상희 (연세대학교 전기공학과)
  • Published : 1990.05.23
Download PDF
⟨ Previous Next ⟩

Abstract

In this study, LPC cepstrum coefficients are used as feature vector extracted from AR model of EMG signal, and a reduced-connection network which has reduced connection between nodes is constructed to classify and recognize EMG functional classes. The proposed network reduces learning time and improves system stability. Therefore it is shown that the proposed network is appropriate in recognizing the function of EMG signal.

Keywords