Length of Time-Series Gait Data on Lyapunov Exponent for Fall Risk Detection

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-01-01 DOI:10.36001/ijphm.2021.v12i4.2917

Victoria Smith Hussain, Christopher W. Frames, T. Lockhart

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引用次数: 2

Abstract

Falls are the leading cause of disability in older adults with a third of adults over the age of 65 falling every year. Quantitative fall risk assessments using inertial measurement units and local dynamics stability (LDS) have shown that it is possible to identify at-risk persons. However, there are inconsistencies in the literature on how to calculate LDS and how much data is required for a reliable result. This study investigates the reliability and minimum required strides for 6 algorithm-normalization method combinations when computing LDS using young healthy and community dwelling elderly individuals. Participants wore an accelerometer at the lower lumbar while they walked for three minutes up and down a long hallway. This study concluded that the Rosenstein et al. algorithm was successfully and reliably able to differentiate between both populations using only 50 strides. It was also found normalizing the gait time series data by either truncating the data using a fixed number of strides or using a fixed number of strides and normalizing the entire time series to a fixed number of data points performed better when using the Rosenstein et al. algorithm.

查看原文本刊更多论文

基于Lyapunov指数的时间序列步态数据长度检测跌倒风险

跌倒是老年人致残的主要原因，每年有三分之一的65岁以上的成年人摔倒。使用惯性测量单元和局部动力学稳定性(LDS)的定量跌倒风险评估表明，有可能识别有风险的人。然而，关于如何计算LDS以及需要多少数据才能得到可靠的结果，文献中存在不一致的地方。本研究探讨了6种算法-归一化方法组合在计算年轻健康和社区居住老年人LDS时的可靠性和最小所需步幅。参与者在一条长长的走廊上下行走三分钟时，腰下部佩戴了一个加速度计。本研究得出结论，Rosenstein等人的算法仅使用50步就能成功可靠地区分两个种群。还发现，在使用Rosenstein等人的算法时，通过使用固定步幅截断数据或使用固定步幅并将整个时间序列归一化为固定数量的数据点来规范化步态时间序列数据的效果更好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.