Research On Evaluation System For Ankle Rehabilitation Based On Mechanomyographic Signal

With the development of digital signal processing and sensor technology, it becomes possible to do the evaluation by computer other than doctors. Mechanomyography is the low-frequency lateral oscillations of active skeletal muscle fibers, reflecting the mechanic characteristics of active muscle.The contents of this paper are as follows:Two channel mechanomyographic signals were collected from anterior tibial muscle and peroneus brevis in the subjects’ calves when their ankles acted dorsiflexion, plantar flexion, adduction and abduction, i.e., four action modes; The collected signals were segmented by unequal division algorithm based on signals’ second envelops and nonlinearly scaled wavelets were used to get Singular-Value-Decomposed (SVD) features from segmented signals;The SVM classifier was used to classify the action modes. Results showed that the unequal division algorithm can effectively intercept action segments from original signals and SVD features extracted from two channel signals by nonlinearly scaled wavelets can provide action modes recognition with the best accuracy rate of 98.3%. The method for rehabilitation assessment based on Mechanomyography was proposed. A wireless MMG acquisition device was also proposed for convenience.