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DOI: 10.3791/66025-v
Xiaoping Cai*1,2, Hongyi Zhao*1,3, Xinjun Shan4, Yonghua Huang1, Fangyuan Wei5
1Department of Neurology,The Seventh Medical Center of Chinese PLA General Hospital, 27th Department of Health Cadre,The Second Medical Center of Chinese PLA General Hospital, 3Department of Neurology,NO 984 Hospital of PLA, 4Department of Emergency,General Hospital of Baoding First Central Hospital, 5Department of Hand and Foot Surgery,Beijing University of Chinese Medicine Third Affiliated Hospital
Please note that some of the translations on this page are AI generated. Click here for the English version.
随着新技术的发展,仪器化 Timed Up and Go (iTUG) 测试在身体摇摆和步态分析中越来越受到关注。我们提出了一种协议,用于通过动作捕捉分析 iTUG 的子组件。
在目前的研究中,我们旨在使用动作捕捉技术分析 iTUG Test 子组件,并确定 iTUG Test 子任务之间的相关性。我们想表明 iTUG Test 比传统的 TUG Test 突出了要点以显示更多细节。这种方法的意义在于它通过动作捕捉系统细分了传统的 TUG 测试。
提供有关时间和身体摇摆的新变量。我们的结果表明,一些子成分时间变量而不是身体摇摆变量,在具有不同跌倒风险的组之间有所不同。最近的研究表明,每项能力的 TUG 测试潜艇与认知功能相关。
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