Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease
Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's disease
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DOI：
10.1016/j.medengphy.2017.03.007
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发表时间：
2017-06-01
影响因子：
2.2
通讯作者：
Signorile, Joseph
中科院分区：
文献类型：
--
作者：
Eltoukhy, Moataz;Kuenze, Christopher;Signorile, Joseph
健康老年人和帕金森病（PD）患者的步态模式不同。一个简单的，低成本的临床工具，可以评估这些人群之间的运动学差异将是非常宝贵的诊断，因为步态分析在临床环境中是不切实际的，由于成本和技术专长。本研究调查了Kinect和3D运动分析系统（BTS）之间的组间差异，并报告了Kinect v2传感器用于步态分析的有效性和可靠性。19名受试者参与了研究，11名无（C），8名PD（PD）。结果测量包括时空参数和运动学。与Kinect的PD（p = 0.04）相比，C在踝关节摆动期间的踝关节活动范围显著更小。两个系统在步幅上都有显著差异（BTS（C 1.24 +/- 0.16，PD= 1.01 +/- 0.17，p = 0.009），Kinect（C= 1.24 +/- 0.17，PD= 1.00 +/- 0.18，p = 0.009）），步态速度（BTS（C= 1.06 +/- 0.14，PD= 0.83 +/- 0.15，p = 0.01），Kinect（C= 1.06 +/- 0.15，PD= 0.83 +/- 0.16，p = 0.01））和挥杆速度（BTS（C= 2.50 +/- 0.27，PD= 2.12 +/- 0.36，p = 0.02），Kinect（C= 2.32 +/- 0.25，PD= 1.95 +/- 0.31，p = 0.01））。系统之间的一致性（范围（ICC）= 0.93-0.99）和一致性（范围（ICC）= 0.94-0.99）对于步长、站立持续时间、摆动持续时间、步态速度和摆动速度均非常好。Kinect v2可以足够灵敏地检测组间差异，并始终产生与BTS系统相似的结果。(C)2017年IPEM。由爱思唯尔有限公司出版。保留所有权利。
Gait patterns differ between healthy elders and those with Parkinson's disease (PD). A simple, low-cost clinical tool that can evaluate kinematic differences between these populations would be invaluable diagnostically; since gait analysis in a clinical setting is impractical due to cost and technical expertise. This study investigated the between group differences between the Kinect and a 3D movement analysis system (BTS) and reported validity and reliability of the Kinect v2 sensor for gait analysis. Nineteen subjects participated, eleven without (C) and eight with PD (PD). Outcome measures included spatiotem-poral parameters and kinematics. Ankle range of motion for C was significantly less during ankle swing compared to PD (p = 0.04) for the Kinect. Both systems showed significant differences for stride length (BTS (C 1.24 +/- 0.16, PD= 1.01 +/- 0.17, p = 0.009), Kinect (C= 1.24 +/- 0.17, PD= 1.00 +/- 0.18, p = 0.009)), gait velocity (BTS (C= 1.06 +/- 0.14, PD= 0.83 +/- 0.15, p = 0.01), Kinect (C= 1.06 +/- 0.15, PD= 0.83 +/- 0.16, p = 0.01)), and swing velocity (BTS (C= 2.50 +/- 0.27, PD= 2.12 +/- 0.36, p = 0.02), Kinect (C= 2.32 +/- 0.25, PD= 1.95 +/- 0.31, p = 0.01)) between groups. Agreement (Range(ICC) = 0.93-0.99) and consistency (Range(ICC) = 0.94-0.99) were excellent between systems for stride length, stance duration, swing duration, gait velocity, and swing velocity. The Kinect v2 can was sensitive enough to detect between group differences and consistently produced results similar to the BTS system. (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.