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]
日期:2020-06-01
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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