Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments.
Kinematic Validation of a Multi-Kinect v2 Instrumented 10-Meter Walkway for Quantitative Gait Assessments.
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DOI：
10.1371/journal.pone.0139913
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Roerdink M
中科院分区：
文献类型：
--
作者：
Geerse DJ;Coolen BH;Roerdink M
步行能力通常通过10米步行测试（10 MWT）进行评估，该测试可能配备多个Kinect v2传感器，以补充典型的基于秒表的步行10米时间，并提供来自Kinect 3D身体点时间序列的定量步态信息。本研究旨在通过确定身体点时间序列、时空步态参数和步行10米时间的系统间一致性，评估10 MWT期间针对金标准运动配准系统进行定量步态评估的多Kinect v2设置。为此，以舒适和最大步行速度进行10 MWT，同时使用multi-Kinect v2设置和Optotrak运动配准系统（即，黄金标准）。用组内相关系数（ICC）评估身体点时间序列的系统间一致性。对于步态参数的步行速度、节奏、步长、步幅、步宽、步行时间、步幅时间（均针对中间6米获得）和步行10米的时间，以类似方式确定系统间一致性，并补充Bland-Altman偏倚和一致性限值。身体点的时间序列之间的运动注册系统，特别是身体点的运动。对于舒适和最大步行速度，步行10米的时间和除步宽外的所有步态参数的系统间一致性较高（ICC ≥ 0.888），偏差可忽略不计，一致性范围较窄。因此，使用多Kinect v2设置获得的身体点的时间序列和步态参数与使用3D测量精度的黄金标准获得的时间序列和步态参数匹配良好。建议未来研究测试multi-Kinect v2设置的临床实用性，以自动进行10 MWT评估，从而通过以快速、不显眼和患者友好的方式客观获得的可靠时空步态参数补充步行10米的时间。
Walking ability is frequently assessed with the 10-meter walking test (10MWT), which may be instrumented with multiple Kinect v2 sensors to complement the typical stopwatch-based time to walk 10 meters with quantitative gait information derived from Kinect’s 3D body point’s time series. The current study aimed to evaluate a multi-Kinect v2 set-up for quantitative gait assessments during the 10MWT against a gold-standard motion-registration system by determining between-systems agreement for body point’s time series, spatiotemporal gait parameters and the time to walk 10 meters. To this end, the 10MWT was conducted at comfortable and maximum walking speed, while 3D full-body kinematics was concurrently recorded with the multi-Kinect v2 set-up and the Optotrak motion-registration system (i.e., the gold standard). Between-systems agreement for body point’s time series was assessed with the intraclass correlation coefficient (ICC). Between-systems agreement was similarly determined for the gait parameters’ walking speed, cadence, step length, stride length, step width, step time, stride time (all obtained for the intermediate 6 meters) and the time to walk 10 meters, complemented by Bland-Altman’s bias and limits of agreement. Body point’s time series agreed well between the motion-registration systems, particularly so for body points in motion. For both comfortable and maximum walking speeds, the between-systems agreement for the time to walk 10 meters and all gait parameters except step width was high (ICC ≥ 0.888), with negligible biases and narrow limits of agreement. Hence, body point’s time series and gait parameters obtained with a multi-Kinect v2 set-up match well with those derived with a gold standard in 3D measurement accuracy. Future studies are recommended to test the clinical utility of the multi-Kinect v2 set-up to automate 10MWT assessments, thereby complementing the time to walk 10 meters with reliable spatiotemporal gait parameters obtained objectively in a quick, unobtrusive and patient-friendly manner.