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撑杆平衡过程中手部轨迹的动态结构

Dynamical structure of hand trajectories during pole balancing.

作者信息

Cluff Tyler, Riley Michael A, Balasubramaniam Ramesh

机构信息

Sensorimotor Neuroscience Laboratory, Department of Kinesiology, McMaster University, Hamilton, ON, Canada.

出版信息

Neurosci Lett. 2009 Oct 23;464(2):88-92. doi: 10.1016/j.neulet.2009.08.039. Epub 2009 Aug 20.

DOI:10.1016/j.neulet.2009.08.039
PMID:19699264
Abstract

We studied the dynamics of fingertip displacement series in human pole balancing using recurrence quantification analysis (RQA). The purpose of this research was to determine how the dynamical structure of fingertip fluctuations evolved with learning. Learning was accompanied by increased stability of movement trajectories in spite of a reduced tendency for movement trajectories to recur. Task manipulations, on the other hand, resulted in more intermittent fingertip dynamics, which suggests that individuals were more tolerant of random fingertip displacements when the task was performed while sitting relative to standing. Such a strategy would minimize the computational burden associated with maintaining pole stability.

摘要

我们使用递归定量分析(RQA)研究了人体杆平衡中指尖位移序列的动态变化。本研究的目的是确定指尖波动的动态结构如何随着学习而演变。尽管运动轨迹重复出现的趋势有所降低,但学习伴随着运动轨迹稳定性的提高。另一方面,任务操作导致指尖动态变化更加间歇性,这表明个体在坐着执行任务相对于站着执行任务时,对随机指尖位移的耐受性更高。这样的策略将使与保持杆稳定性相关的计算负担最小化。

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