Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, United States.
J Neurophysiol. 2024 Nov 1;132(5):1445-1456. doi: 10.1152/jn.00084.2024. Epub 2024 Oct 3.
A recent line of work suggests that the net behavior of the foot-ground interaction force provides insight into quiet-standing-balance dynamics and control. Through human-subject experiments, Boehm et al. found that the relative variations of the center of pressure and force orientation emerge as a distinct pattern in the frequency domain, termed the "intersection-point (IP) height." Subsequent empirical and simulation-based studies showed that different control strategies are reflected in the distribution of intersection-point height across frequency. To facilitate understanding of the strengths and limitations of the intersection-point height in describing the dynamics and control of standing, the present work establishes a spectral-based method that also enables derivation of a closed-form estimate of the intersection-point height from any linear model of quiet stance. This new method explained observations from prior work, including how the measure captures aspects of control and physiological noise. The analysis presented herein highlights the utility of the frequency-dependent foot-force dynamics in probing the balance controller and provides a tool for model development and validation to further our understanding of the neuromotor control of natural upright posture in humans. The present work details a closed-form analytical result that reveals a direct link between frequency-domain patterns in the foot-force line-of-action and the closed-loop frequency response function of human upright stance. The analytical method developed herein dramatically simplifies the identification of the intersection-point-height measure of standing balance, and further demonstrates that the net behavior of the foot-ground interaction force quantifies essential characteristics of the underlying neuromotor control of human quiet standing.
最近的一系列研究表明,足地相互作用力的净行为为理解静立平衡动力学和控制提供了线索。通过人体实验,Boehm 等人发现,在频域中,压力中心和力方向的相对变化呈现出一种独特的模式,称为“交点(IP)高度”。随后的实证和基于模拟的研究表明,不同的控制策略反映在交点高度在频域中的分布上。为了便于理解交点高度在描述站立动力学和控制方面的优势和局限性,本工作建立了一种基于谱的方法,该方法还能够从任何静立的线性模型中推导出交点高度的闭式估计。这种新方法解释了先前工作中的观察结果,包括该测量如何捕捉控制和生理噪声的方面。本文的分析强调了频率相关的足力动力学在探测平衡控制器方面的实用性,并提供了一个用于模型开发和验证的工具,以进一步了解人类自然直立姿势的神经运动控制。本工作详细介绍了一个闭式解析结果,该结果揭示了足部力作用线上的频域模式与人类直立站立的闭环频率响应函数之间的直接联系。本文中开发的分析方法极大地简化了站立平衡的交点高度测量的识别,进一步证明了足地相互作用力的净行为量化了人类安静站立的基础神经运动控制的基本特征。