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一种信息算法作为膝关节瞬时轴感知-动作控制的基础。

An Informational Algorithm as the Basis for Perception-Action Control of the Instantaneous Axes of the Knee.

作者信息

Kim Wangdo, Espanha Margarida M, Veloso António P, Araújo Duarte, João Filipa, Carrão Luis, Kohles Sean S

机构信息

Univ Tecn Lisboa, Fac Motricidade Humana, CIPER, LBMF, SPERTLAB, Estrada da Costa, P-1499-002 Lisbon, Portugal.

Regenerative Bioengineering Laboratory, Departments of Mechanical and Materials Engineering and Biology, Portland State University, Portland, Oregon, USA.

出版信息

J Nov Physiother. 2013 Mar 27;3(1):127. doi: 10.4172/2165-7025.1000127.

Abstract

Traditional locomotion studies emphasize an optimization of the desired movement trajectories while ignoring sensory feedback. We propose an information based theory that locomotion is neither triggered nor commanded but controlled. The basis for this control is the information derived from perceiving oneself in the world. Control therefore lies in the human-environment system. In order to test this hypothesis, we derived a mathematical foundation characterizing the energy that is required to perform a rotational twist, with small amplitude, of the instantaneous axes of the knee (IAK). We have found that the joint's perception of the ground reaction force may be replaced by the co-perception of muscle activation with appropriate intensities. This approach generated an accurate comparison with known joint forces and appears appropriate in so far as predicting the effect on the knee when it is free to twist about the IAK.

摘要

传统的运动研究强调优化期望的运动轨迹,而忽略了感官反馈。我们提出一种基于信息的理论,即运动既不是触发的也不是命令式的,而是受控制的。这种控制的基础是从在世界中感知自身所获得的信息。因此,控制存在于人与环境的系统之中。为了验证这一假设,我们推导了一个数学基础,用以描述在膝关节瞬时轴(IAK)上进行小幅度旋转扭转所需的能量。我们发现,关节对地面反作用力的感知可以被具有适当强度的肌肉激活的共同感知所取代。这种方法与已知的关节力产生了精确的比较,并且就预测膝关节围绕IAK自由扭转时的影响而言似乎是合适的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dba/4057049/cdd2a043a338/nihms469022f1.jpg

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