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一种使用固定在骨盆上的 HTC Vive Tracker 量化动态平衡任务中质心轨迹的初步研究。

A Pilot Study Quantifying Center of Mass Trajectory during Dynamic Balance Tasks Using an HTC Vive Tracker Fixed to the Pelvis.

机构信息

Department of Physical Therapy, Virginia Commonwealth University, Richmond, VA 23298, USA.

出版信息

Sensors (Basel). 2021 Dec 1;21(23):8034. doi: 10.3390/s21238034.

DOI:10.3390/s21238034
PMID:34884036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8659428/
Abstract

Fall rates are increasing among the aging population and even higher falls rates have been reported in populations with neurological impairments. The Berg Balance Scale is often used to assess balance in older adults and has been validated for use in people with stroke, traumatic brain injury, and Parkinson's disease. While the Berg Balance Scale (BBS) has been found to be predictive of the length of rehabilitation stay following stroke, a recent review concluded the BBS lacked predictive validity for fall risk. Conversely, sophisticated measures assessing center of mass (COM) displacement have shown to be predictive of falls risk. However, calculating COM displacement is difficult to measure outside a laboratory. Accordingly, we sought to validate COM displacement measurements derived from an HTC Vive tracker secured to the pelvis by comparing it to COM derived from 'gold' standard laboratory-based full-body motion capture. Results showed that RMS between the COM calculated from HTC Vive tracker and full body motion capture agree with an average error rate of 2.1 ± 2.6 cm. Therefore, we conclude measurement of COM displacement using an HTC Vive tracker placed on the pelvis is reasonably representative of laboratory-based measurement of COM displacement.

摘要

跌倒率在老年人群体中不断上升,而在有神经损伤的人群中,跌倒率更高。伯格平衡量表常用于评估老年人的平衡能力,已被验证可用于评估中风、创伤性脑损伤和帕金森病患者的平衡能力。虽然伯格平衡量表(BBS)已被发现可预测中风后的康复住院时间,但最近的一项综述得出结论,BBS 缺乏对跌倒风险的预测有效性。相反,评估质心(COM)位移的复杂测量方法已被证明可预测跌倒风险。然而,在实验室之外,计算 COM 位移很难测量。因此,我们试图通过将 HTC Vive 追踪器固定在骨盆上得出的 COM 位移测量值与源自“黄金”标准实验室的全身运动捕捉得出的 COM 进行比较,以此验证 COM 位移测量值。结果表明,从 HTC Vive 追踪器计算得出的 COM 与全身运动捕捉得出的 COM 之间的 RMS 相符,平均误差率为 2.1±2.6cm。因此,我们得出结论,使用放置在骨盆上的 HTC Vive 追踪器测量 COM 位移,可以合理地代表基于实验室的 COM 位移测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/78b520f96ffb/sensors-21-08034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/891c461705b1/sensors-21-08034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/adec3ac32ae7/sensors-21-08034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/78b520f96ffb/sensors-21-08034-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/891c461705b1/sensors-21-08034-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/adec3ac32ae7/sensors-21-08034-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/8659428/78b520f96ffb/sensors-21-08034-g003.jpg

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