A Comparison of Four Approaches to Evaluate the Sit-to-Stand Movement

运动(音乐) 物理医学与康复 考试(生物学) 步伐 模拟 RGB颜色模型 部队平台 地面反作用力 老年人 计算机科学 功能性运动 人工智能 医学 大地测量学 声学 老年学 物理 古生物学 生物 地理 经典力学 运动学
作者
Brajesh Kumar Shukla,Hiteshi Jain,Vivek Vijay,Sandeep Yadav,Arvind Mathur,David Hewson
出处
期刊:IEEE Transactions on Neural Systems and Rehabilitation Engineering [Institute of Electrical and Electronics Engineers]
卷期号:28 (6): 1317-1324 被引量:12
标识
DOI:10.1109/tnsre.2020.2987357
摘要

The sit-to-stand test (STS) is a simple test of function in older people that can identify people at risk of falls. The aim of this study was to develop two novel methods of evaluating performance in the STS using a low-cost RGB camera and another an instrumented chair containing load cells in the seat of the chair to detect center of pressure movements and ground reaction forces. The two systems were compared to a Kinect and a force plate. Twenty-one younger subjects were tested when performing two 5STS movements at self-selected slow and normal speeds while 16 older fallers were tested when performing one 5STS at a self-selected pace. All methods had acceptable limits of agreement with an expert for total STS time for younger subjects and older fallers, with smaller errors observed for the chair (-0.18 ± 0.17 s) and force plate (-0.19 ± 0.79 s) than for the RGB camera (-0.30 ± 0.51 s) and the Kinect (-0.38 ± 0.50 s) for older fallers. The chair had the smallest limits of agreement compared to the expert for both younger and older participants. The new device was also able to estimate movement velocity, which could be used to estimate muscle power during the STS movement. Subsequent studies will test the device against opto-electronic systems, incorporate additional sensors, and then develop predictive equations for measures of physical function.
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