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An enhanced feature extraction algorithm for EMG pattern classification

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3 Author(s)
Seok-Pil Lee ; Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea ; Jung-sub Kim ; Sang-Hui Park

The authors present an enhanced feature extraction algorithm which combines block and adaptive processing to identify motion command for the control of a prosthetic arm. The algorithm is capable of precise and stable feature extraction. A sample application with the block processing stationary model parameters is provided to evaluate the feasibility of the adaptive cepstrum vector extracted by the proposed algorithm for electromyographic (EMG) pattern classification

Published in:

Rehabilitation Engineering, IEEE Transactions on  (Volume:4 ,  Issue: 4 )