Zhou Ping, Rymer William Zev
Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA.
J Neural Eng. 2004 Dec;1(4):238-45. doi: 10.1088/1741-2560/1/4/007. Epub 2004 Dec 2.
The number of motor unit action potentials (MUAPs) appearing in the surface electromyogram (EMG) signal is directly related to motor unit recruitment and firing rates and therefore offers potentially valuable information about the level of activation of the motoneuron pool. In this paper, based on morphological features of the surface MUAPs, we try to estimate the number of MUAPs present in the surface EMG by counting the negative peaks in the signal. Several signal processing procedures are applied to the surface EMG to facilitate this peak counting process. The MUAP number estimation performance by this approach is first illustrated using the surface EMG simulations. Then, by evaluating the peak counting results from the EMG records detected by a very selective surface electrode, at different contraction levels of the first dorsal interosseous (FDI) muscles, the utility and limitations of such direct peak counts for MUAP number estimation in surface EMG are further explored.
出现在表面肌电图（EMG）信号中的运动单位动作电位（MUAPs）数量与运动单位募集和放电频率直接相关，因此提供了有关运动神经元池激活水平的潜在有价值信息。在本文中，基于表面MUAPs的形态特征，我们试图通过计算信号中的负峰来估计表面EMG中存在的MUAPs数量。对表面EMG应用了几种信号处理程序以促进此峰值计数过程。首先使用表面EMG模拟来说明这种方法的MUAP数量估计性能。然后，通过评估在第一背侧骨间肌（FDI）不同收缩水平下由非常有选择性的表面电极检测到的EMG记录的峰值计数结果，进一步探讨这种直接峰值计数用于表面EMG中MUAP数量估计的实用性和局限性。
