023 Development of a bedside motion capture system: a pilot study

Paul Kopanidis, J. Lynch, Asikuzzaman, M. Pickering, D. Perriman, W. Spratford, C. Lueck
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Abstract

Objectives Pronator drift is one of many clinical signs that would benefit from detailed study, but this requires accurate measurement of movement in three dimensions. The Vicon system is currently considered to be the gold standard for measurement of limb kinetics in a movement analysis lab but it cannot be used at the bedside for many reasons. This study aimed to investigate a portable camera-based motion capture system (MCS) as a clinically-useful alternative. Methods The MCS used two commercially-available cameras arranged so as to permit stereoscopic calculation of depth (i.e. distance from the cameras), and therefore a 3-D representation of movement at the shoulder, elbow and wrist. Data were obtained simultaneously from both movement capture and Vicon systems while three normal subjects simulated four scenarios of the pronator drift test in each limb. Outputs from Vicon and MCS were analysed using Matlab to determine root mean square error (RMSE) in XYZ coordinates. A priori, an acceptable difference was considered to be an average RMSE of Results Collectively, the studies generated 53,424 sets of data. The average RMSE in the XYZ axis was 14.9 mm (range 5.0-20.3 mm). Inaccuracy was greatest at the wrist during trials involving larger degrees of pronation. Conclusion The motion capture system was able to generate a 3-D trajectory of limb motion but further refinement is needed before it can be used for the purposes of clinical measurement.
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床边动作捕捉系统的开发:一项试点研究
旋前肌漂移是许多临床症状之一,将受益于详细的研究,但这需要在三维运动的精确测量。Vicon系统目前被认为是运动分析实验室中肢体动力学测量的金标准,但由于许多原因,它不能在床边使用。本研究旨在研究一种基于便携式摄像机的运动捕捉系统(MCS)作为临床有用的替代方案。方法:MCS使用了两个市售摄像机,以便进行立体深度计算(即与摄像机的距离),从而获得肩部、肘部和腕部运动的三维表示。同时从运动捕捉和Vicon系统获得数据,同时三名正常受试者在每条肢体上模拟四种旋前肌漂移测试。使用Matlab分析Vicon和MCS的输出,以确定XYZ坐标下的均方根误差(RMSE)。先验地,可接受的差异被认为是结果的平均均方根误差。总的来说,这些研究产生了53,424组数据。XYZ轴的平均RMSE为14.9 mm(范围5.0-20.3 mm)。在大程度内旋的试验中,手腕部位的不准确性最大。结论该运动捕捉系统能够生成肢体运动的三维轨迹,但在应用于临床测量之前还需要进一步完善。
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