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KMID : 0372919900110020249
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Journal of Biomedical Engineering Research
1990 Volume.11 No. 2 p.249 ~ p.256
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A Study on EMG Functional Recognition Using Reduced-Connection Network
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Abstract
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In this study, LPC cepstrum coefficients are used as feature vector extracted from AR model of EMG signal, and a reduced-connection network whlch 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 Ehown that the proposed network is appropriate in recognizing function of EMG signal.
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KEYWORD
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