Lee S P, Kim J S, Park S H
Department of Electrical Engineering, Yonsei University, Seoul, Korea.
IEEE Trans Rehabil Eng. 1996 Dec;4(4):439-43. doi: 10.1109/86.547948.
We 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.
