Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
Department of Biology, Northeastern University, Boston, Massachusetts, United States.
J Neurophysiol. 2024 Oct 1;132(4):1302-1314. doi: 10.1152/jn.00089.2024. Epub 2024 Sep 11.
Despite the abundance of studies on the control of standing balance, insights about the roles of biomechanics and neural control have been limited. Previous work introduced an analysis combining the direction and orientation of foot-ground forces. The "intersection point" of the lines of actions of these forces exhibited a consistent pattern across healthy, young subjects when computed for different frequency components of the center of pressure signal. To investigate the control strategy of quiet stance, we applied this intersection point analysis to experimental data of 15 healthy, young subjects balancing in tandem stance on a narrow beam and on the ground. Data from the sagittal and frontal planes were analyzed separately. The task was modeled as a double-inverted pendulum controlled by an optimal controller with torque-actuated ankle and hip joints and additive white noise. To test our prediction that the controller that minimized overall joint effort would yield the best fit across the tested conditions and planes of analyses, experimental results were compared with simulation outcomes. The controller that minimized overall effort produced the best fit in both balance conditions and planes of analyses. For some conditions, the relative penalty on the hip and ankle joints varied in a way relevant to the balance condition or to the plane of analysis. These results suggest that unimpaired quiet balance in a challenging environment can be best described by a controller that maintains minimal effort through the adjustment of relative ankle and hip joint torques. This study explored balance control in humans during a challenging task using the novel intersection point analysis, based on foot-ground force direction and point of application. Experimental data of subjects standing on a narrow beam in tandem stance were compared with modeling results of a double-inverted pendulum. The analysis showed that individuals minimized effort by adjusting ankle and hip torques, shedding light on the interplay of biomechanics and neural control in maintaining balance.
尽管有大量关于站立平衡控制的研究,但对生物力学和神经控制的作用的了解仍然有限。之前的工作引入了一种分析方法,该方法结合了地面反作用力的方向和方向。当针对压力中心信号的不同频率分量计算时,这些力的作用线的“交点”在健康的年轻受试者中表现出一致的模式。为了研究安静站立的控制策略,我们将该交点分析应用于 15 名健康年轻受试者在狭窄梁和地面上进行的并足平衡实验数据。分别分析矢状面和额状面的数据。任务被建模为双倒立摆,由具有扭矩驱动的踝关节和髋关节的最优控制器以及附加的白噪声控制。为了验证我们的预测,即最小化总关节努力的控制器将在测试条件和分析平面上产生最佳拟合,将实验结果与模拟结果进行了比较。在两种平衡条件和分析平面上,最小化总努力的控制器产生了最佳拟合。对于某些条件,髋关节和踝关节的相对惩罚以与平衡条件或分析平面相关的方式变化。这些结果表明,在具有挑战性的环境中,未受损的安静平衡可以通过调整相对踝关节和髋关节扭矩来维持最小努力的控制器来最好地描述。本研究使用基于地面反作用力方向和作用点的新交点分析方法,探索了人类在挑战性任务中的平衡控制。比较了并足站立在狭窄梁上的受试者的实验数据和双倒立摆的建模结果。分析表明,个体通过调整踝关节和髋关节的扭矩来最小化努力,这揭示了生物力学和神经控制在维持平衡中的相互作用。