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Analysis of the multi-segmental postural movement strategies utilized in bipedal, tandem and one-leg stance as quantified by a principal component decomposition of marker coordinates

机译:通过标记坐标的主成分分解量化的双足,串联和单腿姿势中使用的多节段姿势运动策略的分析

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摘要

Postural control research describes ankle-, hip-, or multi-joint strategies as mechanisms to control upright posture. The objectives of this study were, first, development of an analysis technique facilitating a direct comparison of the structure of such multi-segment postural movement patterns between subjects; second, comparison of the complexity of postural movements between three stances of different difficulty levels; and third, investigation of between-subject differences in the structure of postural movements and of factors that may contribute to these differences.Twenty-nine subjects completed 100-s trials in bipedal (BP), tandem (TA) and one-leg stance (OL). Their postural movements were recorded using 28 reflective markers distributed over all body segments. These marker coordinates were interpreted as 84-dimensional posture vectors, normalized, concatenated from all subjects, and submitted to a principal component analysis (PCA) to extract principal movement components (PMs). The PMs were characterized by determining their relative contribution to the subject's entire postural movements and the smoothness of their time series.Four, eight, and nine PM were needed to represent 90% of the total variance in BP, TA, and OL, respectively, suggesting that increased task difficulty is associated with increased complexity of the movement structure. Different subjects utilized different combinations of PMs to control their posture. In several PMs, the relative contribution of a PM to a subject's overall postural movements correlated with the smoothness of the PM's time series, suggesting that utilization of specific postural PMs may depend on the subject's ability to control the PM's temporal evolution.
机译:姿势控制研究将踝关节,髋关节或多关节策略描述为控制直立姿势的机制。这项研究的目的是,首先,开发一种分析技术,以促进直接比较受试者之间这种多段姿势运动模式的结构。第二,比较不同难度等级的三种姿势之间姿势运动的复杂性;第三,调查姿势运动结构的主体间差异以及可能导致这些差异的因素。29名受试者完成了双足(BP),双前肢(TA)和单腿姿势( OL)。使用分布在所有身体部位的28个反射标记记录了他们的姿势运动。这些标记坐标被解释为84维姿势向量,从所有对象进行归一化,连接,然后进行主成分分析(PCA)以提取主运动成分(PM)。 PM的特征在于确定其对受试者整个姿势运动的相对贡献及其时间序列的平稳性。分别需要四,八和九个PM来代表BP,TA和OL的总方差的90%,提示增加的任务难度与增加运动结构的复杂性有关。不同的受试者利用不同的PM组合来控制其姿势。在几个PM中,PM对受试者总体姿势运动的相对贡献与PM时间序列的平滑度相关,这表明特定姿势PM的利用可能取决于受试者控制PM时间演变的能力。

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