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躯干三维运动分析的日间可靠性:基于标记物协议的比较。

Between-day reliability of three-dimensional motion analysis of the trunk: A comparison of marker based protocols.

作者信息

Rast Fabian Marcel, Graf Eveline Silvia, Meichtry André, Kool Jan, Bauer Christoph Michael

机构信息

School of Health Professions, Institute of Physiotherapy, Zurich University of Applied Sciences, Winterthur, Zurich, Switzerland.

School of Health Professions, Institute of Physiotherapy, Zurich University of Applied Sciences, Winterthur, Zurich, Switzerland.

出版信息

J Biomech. 2016 Mar 21;49(5):807-811. doi: 10.1016/j.jbiomech.2016.02.030. Epub 2016 Feb 18.

Abstract

Motion capture of the trunk using three-dimensional optoelectronic systems and skin markers placed on anatomical landmarks is prone to error due to marker placement, thus decreasing between-day reliability. The influence of these errors on angular output might be reduced by using an overdetermined number of markers and optimization algorithms, or by defining the neutral position using a reference trial. The purpose of this study was to quantify and compare the between-day reliability of trunk kinematics, when using these methods. In each of two sessions, 20 subjects performed four movement tasks. Trunk kinematics were established through the plug-in-gait protocol, the point cloud optimization algorithm, and by defining upright standing as neutral position. Between-day reliability was analyzed using generalizability theory and quantified by indexes of dependability. Across all movement tasks, none of the methods was superior in terms of between-day reliability. The point cloud algorithm did not improve between-day reliability, but did result in 24.3% greater axial rotation angles. The definition of neutral position by means of a reference trial revealed 5.8% higher indexes of dependability for lateral bending and axial rotation angles, but 13.7% smaller indexes of dependability for flexion angles. Further, using a reference trial resulted in 8.3° greater trunk flexion angles. Therefore, the selection of appropriate marker placement and the corresponding calculation of angular output are dependent on the movement task and the underlying research question.

摘要

使用三维光电系统和放置在解剖学标志点上的皮肤标记来捕捉躯干运动,由于标记放置的原因容易产生误差,从而降低了日间可靠性。通过使用超定数量的标记和优化算法,或者通过使用参考试验来定义中立位置,可以减少这些误差对角输出的影响。本研究的目的是量化和比较使用这些方法时躯干运动学的日间可靠性。在两个时间段中的每个时间段,20名受试者执行四项运动任务。通过插件式步态协议、点云优化算法以及将直立站立定义为中立位置来建立躯干运动学。使用概化理论分析日间可靠性,并通过可靠性指标进行量化。在所有运动任务中,就日间可靠性而言,没有一种方法具有优势。点云算法并没有提高日间可靠性,但确实使轴向旋转角度增加了24.3%。通过参考试验定义中立位置,对于侧弯和轴向旋转角度,可靠性指标高出5.8%,但对于屈曲角度,可靠性指标小13.7%。此外,使用参考试验导致躯干屈曲角度增加8.3°。因此,合适的标记放置选择和角输出的相应计算取决于运动任务和潜在的研究问题。

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