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首页> 外文期刊>Journal of Biomechanics >A novel approach to study human posture control: 'Principal movements' obtained from a principal component analysis of kinematic marker data
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A novel approach to study human posture control: 'Principal movements' obtained from a principal component analysis of kinematic marker data

机译：一种研究人类姿势控制的新方法：从运动标记数据的主要成分分析中获得的“主要运动”

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Human upright posture is maintained by postural movements, which can be quantified by "principal movements" (PMs) obtained through a principal component analysis (PCA) of kinematic marker data. The current study expands the concept of "principal movements" in analogy to Newton's mechanics by defining "principal position" (PP), "principal velocity" (PV), and "principal acceleration" (PA) and demonstrates that a linear combination of PPs and PAs determines the center of pressure (COP) variance in upright standing. Twenty-one subjects equipped with 27-markers distributed over all body segments stood on a force plate while their postural movements were recorded using a standard motion tracking system. A PCA calculated on normalized and weighted posture vectors yielded the PPs and their time derivatives, the PVs and PAs. COP variance explained by the PPs and PAs was obtained through a regression analysis. The first 15 PMs quantified 99.3% of the postural variance and explained 99.60% 0.22% (mean +/- SD) of the anterior-posterior and 98.82 +/- 0.74% of the lateral COP variance in the 21 subjects. Calculation of the PMs thus provides a data-driven definition of variables that simultaneously quantify the state of the postural system (PPs and PVs) and the activity of the neuro-muscular controller (PM). Since the definition of PPs and PM is consistent with Newton's mechanics, these variables facilitate studying how mechanical variables, such as the COP motion, are governed by the postural control system. (C) 2016 Elsevier Ltd. All rights reserved.
机译：人体直立姿势由姿势运动保持，可以通过通过运动标记数据的主要成分分析（PCA）获得的“主要运动”（PMS）量化。目前的研究通过定义“主位置”（PP），“主速度”（PV）和“主加速度”（PAR）（PAR）（PAR）来扩大对牛顿力学的“主要动作”的概念。并且PAS确定直立站立的压力（COP）方差。二十一个受试者配备了分布在所有身体段上的27个标记，在力板上站在一个力板上，同时使用标准运动跟踪系统记录其姿势运动。在归一化和加权姿势载体上计算的PCA产生PPS及其时间衍生物，PVS和PAS。通过回归分析获得PPS和PAS解释的COP方差。前15个PMS量化了99.3％的姿势方差，并在21项受试者中解释了前后后后后的99.60％0.22％（平均+/- SD）和98.82 +/- 0.74％的21个受试者。因此，PMS的计算提供了数据驱动的变量定义，其同时量化姿势系统（PPS和PVS）的状态和神经肌肉控制器（PM）的活动。由于PPS和PM的定义与牛顿的力学符合，因此这些变量有助于研究机械变量，例如COP运动的方式受到姿势控制系统的管辖。 （c）2016 Elsevier Ltd.保留所有权利。

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