Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1992.07a
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- Pages.468-472
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- 1992
Neural Network Classification of EMG Pattern for a Prosthetic Arm Control
보철제어를 위한 EMG 패턴의 신경회로망 분류
- Son, Jae-Hyun (Dept. of Electrical Eng., Kon-Kok Univ.) ;
- Lim, Jong-Kwang (Agency for Defense Development) ;
- Lee, Kwang-Suk (Dept. of Electrical Eng., Kon-Kok Univ.) ;
- Hong, Sung-Woo (Dept. of Electrical Eng., Kon-Kok Univ.) ;
- Nam, Moon-Hyon (Dept. of Electrical Eng., Kon-Kok Univ.)
- Published : 1992.07.23
Abstract
In this paper, we classified electromyographic(EMG) signal for prothesis control using neural network. For this study fast Fourier transform(FFT) with ensemble averaged spectrum is applied to two-channeI EMG signal for biceps and triceps. We used the three layer network. And a cumulative back-propagation algorithm is used for classification of six arm functions, flexion and extension of elbow and pronation and supination of the forearm and abduction and adduction of wrist.
Keywords