Macpherson Tom W, Taylor Jonathan, McBain Thomas, Weston Matthew, Spears Iain R
School of Social Sciences Business and Law, Teesside University, Middlesbrough, UK.
School of Social Sciences Business and Law, Teesside University, Middlesbrough, UK.
J Biomech. 2016 Feb 8;49(3):474-8. doi: 10.1016/j.jbiomech.2015.12.008. Epub 2015 Dec 11.
There is currently no suitable kinematic system for a large-scale prospective trial assessing risk factors of musculoskeletal disorders. A practical kinematic system is described which involves the use of a single low-cost depth-sensing camera for the real-time measurement of 3-dimensional linear and angular pelvic and trunk range-of-movement (ROM). The method is based on the creation and processing of dynamic point clouds taken from the posterior surface of the pelvis and trunk. Nine healthy participants performed 3 trials of treadmill locomotion when walking at self-selected speed (3.6-5.6 km/h), running at 70% (10.9-14.0 km/h) and 90% of maximal speed (14.0-18.0 km/h). Stride-by-stride linear and angular ROM data were captured concurrently using the single depth-sensing camera running at 30 Hz (Kinect(TM) for Windows, Microsoft, USA) and a six-camera motion capture system at 100 Hz (Vicon MX13, Vicon Motion Systems, United Kingdom). Within subject correlation coefficients between the practical and criterion method ranged from very large to nearly perfect (r=0.87-1.00) for the linear ROM. Correlation coefficients for the angular ROM ranged from moderate to very large (r=0.41-0.80). The limits of agreement between the two systems for linear movements were ≤ 9.9 mm at all velocities of gait and ≤ 4.6° at all velocities of gait. The single camera system using depth-sensing technology is capable of capturing linear pelvic and trunk ROM during treadmill locomotion with reasonable precision when compared to the criterion method. Further improvements to the measurement of angles and validation across a wider population are recommended.
目前尚无适用于大规模前瞻性试验以评估肌肉骨骼疾病风险因素的运动学系统。本文描述了一种实用的运动学系统,该系统使用单个低成本深度感应相机实时测量骨盆和躯干的三维线性及角向运动范围(ROM)。该方法基于从骨盆和躯干后表面获取并处理动态点云。九名健康参与者以自选速度(3.6 - 5.6千米/小时)在跑步机上行走、以70%(10.9 - 14.0千米/小时)和90%最大速度(14.0 - 18.0千米/小时)跑步时,各进行了3次试验。使用运行频率为30赫兹的单个深度感应相机(美国微软公司的Kinect(TM) for Windows)和运行频率为100赫兹的六相机运动捕捉系统(英国Vicon Motion Systems公司的Vicon MX13)同时逐步态采集线性和角向ROM数据。对于线性ROM,实用方法与标准方法之间的受试者内相关系数范围从非常大到近乎完美(r = 0.87 - 1.00)。角向ROM的相关系数范围从中等至非常大(r = 0.41 - 0.80)。两种系统在所有步态速度下线性运动的一致性界限为≤ 9.9毫米,角向运动的一致性界限为≤ 4.6°。与标准方法相比,使用深度感应技术的单相机系统能够在跑步机运动期间以合理精度捕捉骨盆和躯干的线性ROM。建议进一步改进角度测量并在更广泛人群中进行验证。