Analysis of EMG signal using wavelet coefficients for upper limb function

The amplitude of the surface electromyogram (sEMG) is frequently used as the control input to myoelectric prostheses, as a measure of muscular effort and has also been investigated as an indicator of muscle force. To cope with the non stationary property of sEMG, features were extracted using wavelet packet transform. The wavelet packet transform provide an effective representation for multi class support vector machine(SVM), when they are subjected to dimensionality reduction by wavelet packet energy and singular value decomposition.