首页> 外文期刊>Journal of Neurophysiology >Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals.
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Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals.

机译:通过测量人体手臂的僵硬度和EMG信号来检查多关节肌肉调节机制。

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Stiffness properties of the musculo-skeletal system can be controlled by regulating muscle activation and neural feedback gain. To understand the regulation of multijoint stiffness, we examined the relationship between human arm joint stiffness and muscle activation during static force control in the horizontal plane by means of surface electromyographic (EMG) studies. Subjects were asked to produce a specified force in a specified direction without cocontraction or they were asked to keep different cocontractions while producing or not producing an external force. The stiffness components of shoulder, elbow, and their cross-term and the EMG of six related muscles were measured during the tasks. Assuming that the EMG reflects the corresponding muscle stiffness, the joint stiffness was predicted from the EMG by using a two-link six-muscle arm model and a constrained least-square-error regression method. Using the parameters estimated in this regression, single-joint stiffness (diagonal terms of the joint-stiffness matrix) was decomposed successfully into biarticular and monoarticular muscle components. Although biarticular muscles act on both shoulder and elbow, they were found to covary strongly with elbow monoarticular muscles. The preferred force directions of biarticular muscles were biased to the directions of elbow monoarticular muscles. Namely, the elbow joint is regulated by the simultaneous activation of monoarticular and biarticular muscles, whereas the shoulder joint is regulated dominantly by monoarticular muscles. These results suggest that biarticular muscles are innervated mainly to control the elbow joint during static force-regulation tasks. In addition, muscle regulation mechanisms for static force control tasks were found to be quite different from those during movements previously reported. The elbow single-joint stiffness was always higher than cross-joint stiffness (off-diagonal terms of the matrix) in static tasks while elbow single-joint stiffness is reported to be sometimes as small as cross-joint stiffness during movement. That is, during movements, the elbow monoarticular muscles were occasionally not activated when biarticular muscles were activated. In static tasks, however, monoarticular muscle components in single-joint stiffness were increased considerably whenever biarticular muscle components in single- and cross-joint stiffness increased. These observations suggest that biarticular muscles are not simply coupled with the innervation of elbow monoarticular muscles but also are regulated independently according to the required task. During static force-regulation tasks, covariation between biarticular and elbow monoarticular muscles may be required to increase stability and/or controllability or to distribute effort among the appropriate muscles.
机译:肌肉骨骼系统的刚度特性可以通过调节肌肉激活和神经反馈增益来控制。为了了解多关节僵硬的调节,我们通过表面肌电图(EMG)研究检查了人体手臂关节僵硬与肌肉在水平平面上的静态力控制过程中的激活之间的关系。要求受试者在指定的方向上产生指定的力而不产生共收缩,或者要求受试者在产生或不产生外力时保持不同的共同收缩。在任务期间,测量了肩部,肘部的僵硬度,跨度和六个相关肌肉的肌电图。假设EMG反映了相应的肌肉僵硬,则使用两连杆六肌肉手臂模型和约束最小二乘误差回归方法从EMG预测关节僵硬。使用在此回归中估计的参数,将单关节刚度(关节刚度矩阵的对角项)成功分解为双关节和单关节肌肉组件。尽管双关节肌肉同时作用于肩膀和肘部,但发现它们与肘部单关节肌肉强烈共曲。双关节肌肉的首选力方向偏向于肘部单关节肌肉的方向。即,肘关节通过同时激活单关节和双关节肌肉来调节,而肩关节则主要通过单关节肌肉来调节。这些结果表明,在静态力调节任务中,主要是支配双关节肌肉以控制肘关节。另外,发现用于静态力控制任务的肌肉调节机制与先前报道的运动过程中的那些完全不同。在静态任务中,肘关节的单关节刚度始终高于交叉关节的刚度(矩阵的对角线项),而据报道,有时肘关节的单关节刚度与运动过程中的关节交叉刚度一样小。也就是说,在运动过程中,双关节肌肉被激活时肘部单关节肌肉有时未被激活。但是,在静态任务中,每当单关节和交叉关节僵硬度的双关节肌肉成分增加时,单关节僵硬的单关节肌肉成分就会大大增加。这些观察结果表明,双关节肌肉不仅与肘部单关节肌肉的神经支配,而且还可以根据所需任务进行独立调节。在静态力调节任务中,可能需要在双关节和肘部单关节肌肉之间进行协变,以增加稳定性和/或可控性或在适当的肌肉之间分配力量。

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