Spatiotemporal modular organization of muscle torques for sit-to-stand movements.
Spatiotemporal modular organization of muscle torques for sit-to-stand movements.
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用于坐站运动的肌肉扭矩的时空模块化组织。
DOI：
10.1016/j.jbiomech.2016.08.010
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Shimoda S.
中科院分区：
文献类型：
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作者：
Yamasaki HR;Shimoda S.
运动模式的鲁棒性是表征我们日常运动的适应性的一个重要因素;然而，自适应运动模式的机制的细节还没有得到很好的理解。在这里，我们利用复杂的主成分分析（CPCA），以检查动态肌肉扭矩的时空结构，在坐到站（STS）运动。通过Vicon运动分析系统捕获三连杆刚体模型在矢状面中的运动，以计算质心（COM）、角位移和关节扭矩的运动学。使用CPCA，动态肌肉力矩分解成三个分量：控制信号，关节力矩的相位滞后，和加权系数。STS中确定了两个动力学模块，表明COM在水平和垂直方向上的时空模块化控制。仿真结果表明，微调这两个模块，根据环境条件，有助于自适应变化的运动模式。综上所述，我们的研究结果表明，对环境的行为适应的来源包括使用固定模块来减少中枢神经系统的计算负荷，微调这些模块，以及控制激活它们的时间信号。
The robustness of movement patterns is an essential factor for characterizing the adaptability of our daily motions; however, details of the mechanism underlying adaptive motion patterns are not well understood. Here, we utilized complex principal component analysis (CPCA) to examine the spatiotemporal structure of dynamic muscle torques during sit-to-stand (STS) movements. The motion of a three-link rigid body model in the sagittal plane was captured by a Vicon motion analysis system to compute the kinematics of the center of mass (COM), angular displacement, and joint torques. Using CPCA, dynamic muscle torques were decomposed into three components: a control signal, the phase lags of the joint torques, and weighting coefficients. Two kinetic modules were identified in STS, indicating spatiotemporal modular control of the COM in the horizontal and vertical directions. Simulation results suggested that fine-tuning of these two modules according to environmental conditions contributes to adaptive changes in motion pattern. Taken together, our findings suggest that the sources of behavioral adaptations to the environment include the use of fixed modules to reduce computational load on the central nervous system, fine-tuning of these modules, and control of the temporal signals that activate them.