Postural control of a musculoskeletal model against multidirectional support surface translations
Postural control of a musculoskeletal model against multidirectional support surface translations
复制标题
DOI：
10.1371/journal.pone.0212613
复制
发表时间：
2019-03-06
期刊：
影响因子：
3.7
通讯作者：
Ota, Jun
中科院分区：
文献类型：
--
作者：
Kaminishi, Kohei;Jiang, Ping;Ota, Jun
人体是一个由数百块肌肉驱动的复杂系统，其控制机制尚未得到充分理解。为了了解人体姿势控制的机制，不同的研究小组已经提出了神经控制器模型，包括我们的前馈和反馈控制模型。然而，这些模型已被评估下向前和向后扰动，最多。由于人体在日常生活中会经历来自许多不同方向的扰动，因此应该评估神经控制器模型以响应多方向扰动，包括前向/后向、横向和对角方向。本研究的目的是探讨在多方向扰动下，具有FF和FB控制的NC模型的有效性。我们开发了一个具有70块肌肉和15个关节自由度的肌肉骨骼模型，通过使用神经控制器模型将其定位在站立姿势，并将其支撑表面在多个方向上平移为扰动。我们成功地确定了神经控制器模型所需的参数，以保持每个扰动方向的肌肉骨骼模型的立场。肌肉反应幅度和被动踝关节刚度的幅度的趋势与实验研究的结果一致。我们的结论是，神经控制器模型可以适应多方向的扰动产生合适的肌肉激活。我们期望神经控制器模型可以应用于躯干倾斜患者的控制机制的研究和从患者的行为诊断控制机制的变化。
The human body is a complex system driven by hundreds of muscles, and its control mechanisms are not sufficiently understood. To understand the mechanisms of human postural control, neural controller models have been proposed by different research groups, including our feed-forward and feedback control model. However, these models have been evaluated under forward and backward perturbations, at most. Because a human body experiences perturbations from many different directions in daily life, neural controller models should be evaluated in response to multidirectional perturbations, including in the forward/backward, lateral, and diagonal directions. The objective of this study was to investigate the validity of an NC model with FF and FB control under multidirectional perturbations. We developed a musculoskeletal model with 70 muscles and 15 degrees of freedom of joints, positioned it in a standing posture by using the neural controller model, and translated its support surface in multiple directions as perturbations. We successfully determined the parameters of the neural controller model required to maintain the stance of the musculoskeletal model for each perturbation direction. The trends in muscle response magnitudes and the magnitude of passive ankle stiffness were consistent with the results of experimental studies. We conclude that the neural controller model can adapt to multidirectional perturbations by generating suitable muscle activations. We anticipate that the neural controller model could be applied to the study of the control mechanisms of patients with torso tilt and diagnosis of the change in control mechanisms from patients' behaviors.