一种基于正交匹配追踪算法的表面肌电信号重建方法

Reconstruction of a Surface Electromyography Signal Based on Orthogonal Matching Pursuit Algorithm

针对表面肌电信号(Electromyography,EMG)重建问题,提出一种基于正交匹配追踪算法的表面肌电信号重建方法.首先,介绍压缩感知模型,并结合稀疏表示理论进行分析.然后,采用正交匹配追踪算法(Orthogonal Matching Pursuit,OMP)对肌电信号进行重建,并详细探讨该算法在不同信号压缩比和信噪比条件下的性能表现.最后,进行实验验证.仿真结果表明,压缩感知在表面肌电信号重构中是一种有效且可行的方法.

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.