基于非线性能量算子的表面肌电信号MUAP发放检测

A MUAP Onset Detection Method of Surface EMG Signal Based on Nonlinear Energy Operator

采用基于平滑非线性能量算子(smoothednonlinearenergyoperator,SNEO)的方法对表面肌电(surfaceEMG,SEMG)信号运动单位动作电位(motorunitactionpotential,MUAP)的发放信息进行检测,提出一种能较精确确定MUAP发放数目的阈值检测方法。利用这些方法分别对肌肉轻度收缩和中度收缩时的SEMG信号进行了MUAP发放检测实验,结果表明,对于轻度收缩时的SEMG信号,本文的方法十分有效,而对中度收缩时的SEMG信号也能获得比较满意的检测结果。

The Motor Unit Action Potential （MUAP） onset detection of surface EMG signal based on the Smoothed Nonlinear Energy Operator （SNEO） is explored, and a threshold detection method that can more accurately detect the MUAP numbers is proposed. The experiments about MUAP onset detection at low and median contraction forces were done by the proposed method, the results show that the satisfying onset detection information can be acquired by the proposed method at low contraction forces, and the acceptable result can also be acquired by the proposed method at median contraction forces.