Uniting the means of wavelet and ANN to identify the sEMG signal
Jianguo Cui · Journal of Shenyang Institute of Aeronautcal Engineering · 2005
In this paper we use the programing language of MATLAB as system designing tools, uniting the means of Wavelet and ANN to identify the SEMG signal. To identify the sEMG signal include three processes: preprocessing dates, charactering pick-up and classification. In the first using Wavelet to denoise and pick up the characters, then using BP NN to classify and identify, at last the result was analyzed and compared. The result indicate that the union of Wavelet and ANN is an effective mode to identify means of sEMG signal.