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Classification of EMG Signals Using Wavelet Based Autoregressive Models and Neural Networks to Control Prothesis-Bionic Hand
This work has aimed to contribute to the prothesis-bionic hand studies. Four hundred eighty signals used in this work correspond to position of adduction motion of thumb, flexion motion of thumb, abduction motion of fingers ...