Basing on RBF Neural Network to Classify Surface Electromyography

In this paper, a method is presented, which bases on Power Spectrum and RBF neural network. First, we calculate Power Spectrum eigenvector that is pretreated. Second, using the Power Spectrum coefficient to train the RBF neural network and classify the muscle movement of forearm. The experiment indicates this measure can reduce workload and get the relatively good results.