Predicting disability levels of community dwelling older individuals using single wrist mounted accelerometer

Sathish K. SankarPandi, S. Dlay, W. L. Woo, M. Catt
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引用次数: 5

Abstract

The Timed Up and Go (TUG) test is widely used for assessing mobility and falls risk of elderly individuals. In this study, we aim to utilize TUG test to estimate disability level of community dwelling elderly participants. Forty features are extracted from single wrist mounted accelerometer signals which are recorded in home environment from the 321 participants performing TUG test. As an initial exploratory analysis, linear discriminant classifier is used to estimate the disability levels. The study compares models built using features extracted from accelerometer signals with the standard measure which is the time taken to complete the test. The developed accelerometer model has yielded a mean accuracy of 62.16% outperforming the standard measure with a mean accuracy of 39.10%. The obtained results show that TUG test has an ability to classify disability levels and accelerometer has an added value in evaluations and monitoring progression of disability levels.
使用腕部加速度计预测社区居住老年人的残疾水平
时间起身和走(TUG)测试被广泛用于评估老年人的行动能力和跌倒风险。在本研究中,我们的目的是利用TUG测试来评估社区居住老年人的残疾水平。从321名参与TUG测试的参与者在家庭环境中记录的单个腕上加速度计信号中提取40个特征。作为初步的探索性分析,使用线性判别分类器估计残疾水平。该研究将使用从加速度计信号中提取的特征构建的模型与完成测试所需时间的标准度量进行了比较。所开发的加速度计模型的平均精度为62.16%,优于平均精度为39.10%的标准测量。结果表明,TUG试验具有判别残疾程度的能力,加速度计对残疾程度的评价和监测具有附加价值。
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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