Xu Z, Xiao S
Rehabilitation Engineering Centre, The Hong Kong Polytechnic University, Hong Kong, PR China.
J Electromyogr Kinesiol. 2000 Aug;10(4):275-81. doi: 10.1016/s1050-6411(00)00010-9.
A simple Low-Pass Differential (LPD) filter is often used for the Motor Unit Action Potential (MUAP) peak detection in needle EMG decomposition. Decomposition of surface EMG is much more difficult since surface EMG is more mixed than needle EMG. A successful peak detection of MUAPs is a first important step for EMG decomposition. We found that a simple LPD filter is not suitable for surface MUAP detection; instead the Weighted Low-Pass Differential (WLPD) filters are proposed. The filter performance is analyzed based on different window selection and varying MUAPs from simulated and recorded surface EMG. The sinusoidal WLPD filter is found to have better SNR improving factors, and to be more robust under the varying conditions.
一种简单的低通差分（LPD）滤波器常用于针电极肌电图分解中的运动单位动作电位（MUAP）峰值检测。表面肌电图的分解要困难得多，因为表面肌电图比针电极肌电图的混合程度更高。成功检测到MUAP的峰值是肌电图分解的首要重要步骤。我们发现简单的LPD滤波器不适用于表面MUAP检测；相反，我们提出了加权低通差分（WLPD）滤波器。基于不同的窗口选择以及模拟和记录的表面肌电图中变化的MUAP，对滤波器性能进行了分析。发现正弦WLPD滤波器具有更好的信噪比改善因子，并且在变化的条件下更稳健。
