On the use of musculoskeletal models to interpret motor control strategies from performance data
On the use of musculoskeletal models to interpret motor control strategies from performance data
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DOI：
10.1088/1741-2560/5/2/014
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发表时间：
2008-06-01
影响因子：
4
通讯作者：
Loeb, Gerald E.
中科院分区：
文献类型：
--
作者：
Cheng, Ernest J.;Loeb, Gerald E.
肌肉的内在粘弹性是许多运动控制理论的核心。关于这些理论的大部分争论都取决于对这些肌肉特性的不同解释。在本研究中，我们描述的方法，使一个全面的肌肉骨骼模型可以用来进行推理的运动控制策略，将占行为数据。肌肉活动和运动学数据从猴子被记录，而动物进行了一个单一的自由度指向任务中存在的伪随机扭矩扰动。猴子的运动模拟的肌肉骨骼模型与准确的表示肌肉肌腱形态和收缩性能。该模型被用来量化的阻抗的肢体，而快速移动，协同肌肉的微分作用，反射的相对贡献的任务性能和记录的EMG信号的完整性。目前的方法来解决这些问题的肌肉骨骼模型的情况下，在本研究中使用的方法进行了比较。我们的结论是，肌肉骨骼模型和动力学分析可以提高运动学和电生理数据的解释，在某些情况下，通过照亮的实验方法或潜在的假设，否则可能会逃脱通知的缺点。
The intrinsic viscoelastic properties of muscle are central to many theories of motor control. Much of the debate over these theories hinges on varying interpretations of these muscle properties. In the present study, we describe methods whereby a comprehensive musculoskeletal model can be used to make inferences about motor control strategies that would account for behavioral data. Muscle activity and kinematic data from a monkey were recorded while the animal performed a single degree-of-freedom pointing task in the presence of pseudo-random torque perturbations. The monkey's movements were simulated by a musculoskeletal model with accurate representations of musculotendon morphometry and contractile properties. The model was used to quantify the impedance of the limb while moving rapidly, the differential action of synergistic muscles, the relative contribution of reflexes to task performance and the completeness of recorded EMG signals. Current methods to address these issues in the absence of musculoskeletal models were compared with the methods used in the present study. We conclude that musculoskeletal models and kinetic analysis can improve the interpretation of kinematic and electrophysiological data, in some cases by illuminating shortcomings of the experimental methods or underlying assumptions that may otherwise escape notice.