ESTIMATION OF MUSCLE FORCES ABOUT THE WRIST JOINT DURING ISOMETRIC TASKS USING AN EMG COEFFICIENT METHOD
ESTIMATION OF MUSCLE FORCES ABOUT THE WRIST JOINT DURING ISOMETRIC TASKS USING AN EMG COEFFICIENT METHOD
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DOI：
10.1016/0021-9290(93)90016-8
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发表时间：
1993-04-01
影响因子：
2.4
通讯作者：
RYMER, WZ
中科院分区：
文献类型：
--
作者：
BUCHANAN, TS;MONIZ, MJ;RYMER, WZ
提出了一种基于肌电图和解剖参数估计等长肌肉力的技术。在本研究中，我们记录了在屈曲、伸展、尺偏和桡偏等一系列等长收缩期间作用于手腕的五块肌肉的肌电图。然后，该方法使用这些肌电图信号和必要的解剖数据来估计个体肌肉力量。对于一名受试者，通过肌肉力臂和肌肉动作线的 MRI 重建来估计完整的解剖参数。在所有受试者中，通过使用信号处理技术和强化受试者训练，减少了与肌电图信号变异相关的误差。然后通过在不存在机械冗余的扭矩方向上的评估来验证这些基于肌电图的力估计。使用蒙特卡罗模拟检查解空间的稳定性。我们的研究结果表明，无需假设任何控制策略（如优化理论所做的那样），就可以相当准确地估计手腕处的个体肌肉力。然而，由于手腕的机械冗余有限，不确定该方法是否可以用于估计更高冗余系统中的肌肉力。
A technique for estimating isometric muscle forces based on EMGs and anatomical parameters is presented. In the present study, we record EMGs from five muscles acting at the wrist, during a series of isometric contractions in flexion, extension, ulnar deviation and radial deviation. The method then uses these EMG signals and the necessary anatomical data to estimate individual muscle forces. For one subject, complete anatomical parameters were estimated by MRI reconstruction of muscle moment arms and lines of muscle action. In all subjects, the errors associated with variability in the EMG signals were reduced through the use of signal processing techniques and intensive subject training. These EMG-based force estimates were then validated by evaluations at torque directions in which no mechanical redundancy existed. The stability of the solution space was examined using Monte Carlo simulations. The results of our study show that individual muscle forces at the wrist can be estimated with considerable accuracy, without assuming any control strategy (as is done with optimization theories). However, due to the limited mechanical redundancy of the wrist, it is uncertain whether the method can be used to estimate muscle forces in more highly redundant systems.