将运动捕捉技术应用于仪器计时起立行走测试,以检测老年人跌倒的风险。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Xiaoping Cai, Hongyi Zhao, Xinjun Shan, Yonghua Huang, Fangyuan Wei
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引用次数: 0

摘要

尽管医学和技术不断发展,但老年人跌倒的发生率仍在增加。因此,早期发现跌倒风险对于预防跌倒越来越重要。定时上下楼(TUG)测试是一种广受认可的评估活动能力的工具,可用于预测老年人未来的跌倒风险。在临床实践中,完成测试的总时间是 TUG 测试的主要结果测量指标。由于其简单性和通用性,传统的 TUG 测试一直被认为是一种全面的运动分析测试。不过,最近研究人员尝试将 TUG 测试拆分成若干子部分,并更新了其评分系统,以便进行进一步研究。据报道,对传统 TUG 测试进行了新修改的仪器化 "起立行走时间(iTUG)"测试是预测老年人运动障碍和跌倒风险的灵敏工具。本研究的目的是利用动作捕捉技术分析 iTUG 测试的子组件,并确定哪些 iTUG 测试子任务与未来跌倒的潜在风险有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults.

Despite efforts made by medicine and technology, the incidence of falls in older adults is still increasing. Therefore, early detection of the falling risk is becoming increasingly important for falling prevention. The Timed Up and Go (TUG) test is a well-accepted tool to assess mobility and can be used in predicting future fall risk in aged adults. In clinical practice, the total time to complete the test is the main outcome measure of the TUG test. Owing to its simplicity and generality, the traditional TUG test has been considered a global test for movement analysis. However, recently, researchers have attempted to split the TUG test into subcomponents and have updated its score system for further investigations. The instrumented Time Up and Go (iTUG) test, which is a new modification of the traditional TUG test, has been reported to be a sensitive tool for predicting movement disorders and the risk of falls in older adults. The goal of the present study was to analyze the iTUG test subcomponents using motion capture technology, and to determine which iTUG test subtasks are related to the potential risk of future falls.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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