University of Granada, Granada, Spain.
Universidad de La Frontera, Temuco, Chile.
JMIR Mhealth Uhealth. 2020 Oct 23;8(10):e19498. doi: 10.2196/19498.
Markerless systems to capture body motion require no markers to be attached to the body, thereby improving clinical feasibility and testing time. However, the lack of markers might affect the accuracy of measurements.
This study aimed to determine the absolute reliability and concurrent validity of the Kinect system with MotionMetrix software for spatiotemporal variables during running at a comfortable velocity, by comparing data between the combination system and two widely used systems-OptoGait and high-speed video analysis at 1000 Hz.
In total, 25 runners followed a running protocol on a treadmill at a speed of 12 km/h. The Kinect+MotionMetrix combination measured spatiotemporal parameters during running (ie, contact time, flight time, step frequency, and step length), which were compared to those obtained from two reference systems.
Regardless of the system, flight time had the highest coefficients of variation (OptoGait: 16.4%; video analysis: 17.3%; Kinect+MotionMetrix: 23.2%). The rest of the coefficients of variation reported were lower than 8.1%. Correlation analysis showed very high correlations (r>0.8; P<.001) and almost perfect associations (intraclass correlation coefficient>0.81) between systems for all the spatiotemporal parameters except contact time, which had lower values. Bland-Altman plots revealed smaller systematic biases and random errors for step frequency and step length and larger systematic biases and random errors for temporal parameters with the Kinect+MotionMetrix system as compared to OptoGait (difference: contact time +3.0%, flight time -7.9%) and high-speed video analysis at 1000 Hz (difference: contact time +4.2%, flight time -11.3%). Accordingly, heteroscedasticity was found between systems for temporal parameters (r>0.1).
The results indicate that the Kinect+MotionMetrix combination slightly overestimates contact time and strongly underestimates flight time as compared to the OptoGait system and high-speed video analysis at 1000 Hz. However, it is a valid tool for measuring step frequency and step length when compared to reference systems. Future studies should determine the reliability of this system for determining temporal parameters.
无标记系统可捕获身体运动,无需将标记物附着在身体上,从而提高了临床可行性和测试时间。但是,缺乏标记物可能会影响测量的准确性。
本研究旨在通过将组合系统与两个广泛使用的系统(OptoGait 和 1000 Hz 高速视频分析)的数据进行比较,确定 Kinect 系统与 MotionMetrix 软件在以舒适速度跑步时的时空变量的绝对可靠性和同时效度。
共有 25 名跑步者在跑步机上以 12 公里/小时的速度遵循跑步方案。Kinect+MotionMetrix 组合在跑步过程中测量时空参数(即接触时间、腾空时间、步频和步长),并将其与两个参考系统获得的数据进行比较。
无论使用哪种系统,腾空时间的变异系数(OptoGait:16.4%;视频分析:17.3%;Kinect+MotionMetrix:23.2%)最高。报告的其余变异系数均低于 8.1%。相关分析显示,除接触时间外,所有时空参数的相关性均很高(r>0.8;P<.001)且关联性极好(组内相关系数>0.81),而接触时间的相关性较低。Bland-Altman 图显示,与 OptoGait(差值:接触时间+3.0%,腾空时间-7.9%)和 1000 Hz 高速视频分析相比,Kinect+MotionMetrix 系统对于步频和步长的系统偏差和随机误差较小,而对于时间参数的系统偏差和随机误差较大(差值:接触时间+4.2%,腾空时间-11.3%)。因此,系统之间存在时间参数的异方差性(r>0.1)。
与 OptoGait 系统和 1000 Hz 高速视频分析相比,Kinect+MotionMetrix 组合略微高估接触时间,而严重低估腾空时间。但是,与参考系统相比,它是测量步频和步长的有效工具。未来的研究应确定该系统确定时间参数的可靠性。