SINGLE MOTOR UNIT MYOELECTRIC SIGNAL ANALYSIS WITH NONSTATIONARY DATA
SINGLE MOTOR UNIT MYOELECTRIC SIGNAL ANALYSIS WITH NONSTATIONARY DATA
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DOI：
10.1109/10.284928
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发表时间：
1994-02-01
影响因子：
4.6
通讯作者：
PARKER, PA
中科院分区：
文献类型：
--
作者：
ENGLEHART, KB;PARKER, PA
肌电信号（MES）的信息内容通常通过时域或频域中的统计测量来揭示。从一个单一的电机单元的MES的经验分析一般假设的功能是随时间不变的。理论和实验工作已经完成，以证明如何在运动神经元的放电统计的非平稳行为可能会影响估计的功能提取的运动单元的贡献MES。具体而言，它已被证明，非平稳行为可以显着影响估计的特征描述运动神经元放电行为，因此，低频部分的MES功率谱密度。这些结果可能有助于解释文献中的运动神经元放电统计经验模型的差异。
The information content of the myoelectric signal (MES) is commonly revealed by statistical measures in the time or frequency domain. Empirical analyses of the MES from a single motor unit have generally assumed that features are invariant with time. Theoretical and experimental work has been done to demonstrate how nonstationary behavior in the discharge statistics of a motor neuron may affect estimates of features extracted from the motor unit's contribution to the MES. Specifically, it has been shown that nonstationary behavior can markedly influence estimates of features describing motor neuron firing behavior and consequently, the low-frequency portion of the MES power spectral density. These results may help to explain the discrepancies in the literature which report empirical models of motor neuron firing statistics.