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婴儿坐姿姿势摆动的非线性分析表明其发育迟缓。

Nonlinear analysis of sitting postural sway indicates developmental delay in infants.

作者信息

Deffeyes Joan E, Harbourne Regina T, Kyvelidou Anastasia, Stuberg Wayne A, Stergiou Nicholas

机构信息

Biomechanics Laboratory, University of Nebraska at Omaha, Omaha, NE, USA.

出版信息

Clin Biomech (Bristol). 2009 Aug;24(7):564-70. doi: 10.1016/j.clinbiomech.2009.05.004. Epub 2009 Jun 2.

Abstract

BACKGROUND

Upright sitting is one of the first developmental motor milestones achieved by infants, and sitting postural sway provides a window into the developing motor control system. A variety of posture sway measures can be used, but the optimal measures for infant development have not been identified.

METHODS

We have collected sitting postural sway data from two groups of infants, one with typical development (n=33), and one with delayed development and either diagnosed with or at risk for cerebral palsy (n=26), when the infants had developed to the point where they could just maintain sitting for about 10s. Postural sway data was collected while infants were sitting on a force platform, and the center of pressure was analyzed using both linear and nonlinear measures.

FINDINGS

Our results showed that a nonlinear measure, the largest Lyapunov exponent, was the only parameter of postural sway that revealed significant differences between infants with typical versus delayed development. The largest Lyapunov exponent was found to be higher for typically developing infants, indicating less repeated patterning in their movement coordination.

INTERPRETATIONS

A nonlinear measure such as largest Lyapunov exponent may be useful as an identifier of pathology and as a yardstick for the success of therapeutic interventions.

摘要

背景

直立坐姿是婴儿最早实现的发育性运动里程碑之一,坐姿姿势摆动为了解发育中的运动控制系统提供了一个窗口。可以使用多种姿势摆动测量方法,但尚未确定婴儿发育的最佳测量方法。

方法

我们收集了两组婴儿的坐姿姿势摆动数据,一组发育正常(n = 33),另一组发育迟缓且被诊断为脑瘫或有患脑瘫的风险(n = 26),这些婴儿发育到刚好能够保持坐姿约10秒的阶段。当婴儿坐在测力平台上时收集姿势摆动数据,并使用线性和非线性测量方法分析压力中心。

研究结果

我们的结果表明,一种非线性测量方法,即最大Lyapunov指数,是姿势摆动的唯一参数,它揭示了发育正常与发育迟缓婴儿之间的显著差异。发现发育正常的婴儿最大Lyapunov指数更高,表明他们的运动协调中重复模式较少。

解读

诸如最大Lyapunov指数之类的非线性测量方法可能有助于识别病理状况,并作为治疗干预成功与否的衡量标准。

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