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老年人跌倒者和非跌倒者姿势波动的复发定量分析。

Recurrence quantification analysis of human postural fluctuations in older fallers and non-fallers.

机构信息

Movement to Health Laboratory, EuroMov, Montpellier-1 University, 700, Av. du Pic St Loup, 34090, Montpellier, France.

出版信息

Ann Biomed Eng. 2013 Aug;41(8):1713-25. doi: 10.1007/s10439-013-0790-x. Epub 2013 Mar 28.

Abstract

We investigate postural sway data dynamics in older adult fallers and non-fallers. Center of pressure (COP) signals were recorded during quiet standing in 28 older adults. The subjects were divided in two groups: with and without history of falls. COP time series were analyzed using recurrence quantification analysis (RQA) in both anteroposterior and mediolateral (ML) directions. Classical stabilometric variables (path length and range) were also computed. The results showed that RQA outputs quantifying predictability of COP fluctuations and Shannon entropy of recurrence plot diagonal line length distribution, were significantly higher in fallers, only for ML direction. In addition, the range of ML COP signals was also significantly higher in fallers. This result is in accordance with some findings of the literature and could be interpreted as an increased hip strategy in fallers. The RQA results seem coherent with the theory of loss of complexity with aging and disease. Our results suggest that RQA is a promising approach for the investigation of COP fluctuations in a frail population.

摘要

我们研究了老年人跌倒者和非跌倒者的姿势摆动数据动态。在 28 名老年人安静站立期间记录了中心压力(COP)信号。将受试者分为两组:有跌倒史和无跌倒史。使用递归定量分析(RQA)对 COP 时间序列进行了前后向和左右向(ML)方向的分析。还计算了经典的稳定仪变量(路径长度和范围)。结果表明,仅在 ML 方向,RQA 输出量化 COP 波动的可预测性和递归图对角线长度分布的香农熵,在跌倒者中明显更高。此外,ML COP 信号的范围在跌倒者中也明显更高。这一结果与文献中的一些发现一致,可以解释为跌倒者的髋关节策略增加。RQA 结果似乎与衰老和疾病过程中复杂性丧失的理论一致。我们的结果表明,RQA 是研究脆弱人群 COP 波动的一种很有前途的方法。

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