Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study.
Neurophysiological Factors Affecting Muscle Innervation Zone Estimation Using Surface EMG: A Simulation Study.
复制标题
使用表面EMG的神经生理因素影响肌肉神经支配区域的估计：一项仿真研究。
DOI：
10.3390/bios11100356
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发表时间：
2021-09-27
期刊：
影响因子：
--
通讯作者：
Zhou P
中科院分区：
文献类型：
--
作者：
Huang C;Chen M;Li X;Zhang Y;Li S;Zhou P
由线性或二维电极阵列记录的表面肌电图 (EMG) 可用于估计肌肉神经支配区 (IZ) 的位置。有多种神经生理学因素可能会影响表面肌电图，从而可能影响肌肉 IZ 估计。本研究的目的是评估基于表面肌电图的 IZ 估计如何受到不同因素的影响，包括单或双 IZ 情况下不同程度的运动单元 (MU) 同步。该研究是通过实施模拟表面肌电图活动的模型来进行的。模拟了三种不同的MU同步条件，即无同步、中等水平同步和模拟M波的完全同步。二维电极阵列记录的表面肌电信号是分别从具有单 IZ 和双 IZ 的肌肉进行模拟的。对于每种情况，IZ 都是根据表面 EMG 估算的，并与性能评估模型中使用的 IZ 进行比较。对于只有一个 IZ 的肌肉，根据表面 EMG 估计的 IZ 位置与所有三个 MU 同步条件下模型中使用的位置一致。对于具有双 IZ 的肌肉，当没有 MU 同步时，至少可以从干扰表面 EMG 适当估计一个 IZ。然而，估计的 IZ 与其他两个 MU 同步条件的模型中使用的两个 IZ 位置不同。对于具有单个 IZ 的肌肉，MU 同步对电极阵列表面 EMG 估计 IZ 的影响很小。然而，对于多个 IZ 肌肉需要谨慎，因为 MU 同步可能会导致错误的 IZ 估计。
Surface electromyography (EMG) recorded by a linear or 2-dimensional electrode array can be used to estimate the location of muscle innervation zones (IZ). There are various neurophysiological factors that may influence surface EMG and thus potentially compromise muscle IZ estimation. The objective of this study was to evaluate how surface-EMG-based IZ estimation might be affected by different factors, including varying degrees of motor unit (MU) synchronization in the case of single or double IZs. The study was performed by implementing a model simulating surface EMG activity. Three different MU synchronization conditions were simulated, namely no synchronization, medium level synchronization, and complete synchronization analog to M wave. Surface EMG signals recorded by a 2-dimensional electrode array were simulated from a muscle with single and double IZs, respectively. For each situation, the IZ was estimated from surface EMG and compared with the one used in the model for performance evaluation. For the muscle with only one IZ, the estimated IZ location from surface EMG was consistent with the one used in the model for all the three MU synchronization conditions. For the muscle with double IZs, at least one IZ was appropriately estimated from interference surface EMG when there was no MU synchronization. However, the estimated IZ was different from either of the two IZ locations used in the model for the other two MU synchronization conditions. For muscles with a single IZ, MU synchronization has little effect on IZ estimation from electrode array surface EMG. However, caution is required for multiple IZ muscles since MU synchronization might lead to false IZ estimation.
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引人入胜的电动机单元的神经区域：通过线性电极阵列进行观察。
影响因子：
2.9
作者：
Jahanmiri-Nezhad F;Barkhaus PE;Rymer WZ;Zhou P
通讯作者：
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影响因子：
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影响因子：
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DOI：
10.1109/tnsre.2013.2247631
发表时间：
2013-11-01
影响因子：
4.9
作者：
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通讯作者：
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影响因子：
2.5
作者：
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通讯作者：
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