Journal of the Korean Institute of Telematics and Electronics (대한전자공학회논문지)
- Volume 26 Issue 7
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- Pages.106-111
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- 1989
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- 1016-135X(pISSN)
A EMG Signal Processing Algorithm for SMUAP Pattern Classification
SMUAP의 패턴분류를 위한 근 신호처리 알고리듬
- Lee, Jin (Dept. of Elec. Eng., Seoul City Univ.) ;
- Jo, Il-Jun (Dept. of Elec. Eng., Seoul City Univ.) ;
- Byun, Youn-Shik (Dept. of Elec. Eng., Incheon Univ.) ;
- Hong, Woan-Hue (Dept. of Elec. Eng., Seoul City Univ.) ;
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Kim, Sung-Hwan
(Dept. of Elec. Eng., Seoul City Univ.)
- 이진 (서울市立大學校 電子工學科) ;
- 조일준 (서울市立大學校 電子工學科) ;
- 변윤식 (仁川大學校 電子工學科) ;
- 홍완희 (서울市立大學校 電子工學科) ;
-
김성환
(서울市立大學校 電子工學科)
- Published : 1989.07.01
Abstract
A new EMG signal processing algorithm for SMUAP pattern classification is proposed. It checks the combination and regularity of ISI using a spike counter as a decision making routine, and performs SMUAP waveform alignment in frequency domain and selects spikes through FIR filtering. As a result, with the EMG signals recorded during 5 seconds at 10-50% MVC force level, the SMUAP ranged from five to nine units were classified and identification rate is greater than 55 percent using a concentric needle electrode. In the IBM PC/AT the processing time typically required 2 minutes.
본 연구에서는 근신호로 부터 SMUAP의 패턴 분류를 위한 새로운 근신호처리 알고리듬을 제시하였다. 제안된 알고리듬은 spike 카운터를 이용한 의사결정 방법으로서 ISI의 조합 및 규칙성을 검사하고, 주파수 평면에서 SMUAP 파형을 정렬하였으며 FIR 필터링을 통하여 스파이크를 선정하였다. 실험결과 IBM PC/AT 상에서
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