Reconstruction of a Surface Electromyography Signal Based on Orthogonal Matching Pursuit Algorithm
Aiming at the problem on reconstructing surface electromyography(EMG),a surface electromyography signal reconstruction method based on orthogonal matching pursuit algorithm is proposed.First,the compressed sensing model is introduced and analyzed combined with sparse representation theory.Then,the orthogonal matching pursuit algorithm(Orthogonal Matching Pursuit,OMP)was used to reconstruct the electromyographic signal,and the performance of the algorithm under different signal compression ratios and signal-to-noise ratio conditions was discussed in detail.Finally,experimental verification was performed.The simulation results show that compressed sensing is an effective and feasible method in surface electromyography signal reconstruction.
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