EMG classification using the second order volterra series

This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2^nd order series for processing EMG signal. This work had compared between filtered EMG and 2^nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2^nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier.