van der Slikke R M A, Berger M A M, Bregman D J J, Veeger H E J
Human Kinetic Technology, The Hague University of Applied Sciences, Johanna Westerdijkplein 75, 2521EN The Hague, The Netherlands; Department of Biomechanical Engineering, Delft University of Technology, The Netherlands.
Human Kinetic Technology, The Hague University of Applied Sciences, Johanna Westerdijkplein 75, 2521EN The Hague, The Netherlands.
J Biomech. 2016 Oct 3;49(14):3340-3346. doi: 10.1016/j.jbiomech.2016.08.022. Epub 2016 Aug 24.
Quantitative assessment of an athlete׳s individual wheelchair mobility performance is one prerequisite needed to evaluate game performance, improve wheelchair settings and optimize training routines. Inertial Measurement Unit (IMU) based methods can be used to perform such quantitative assessment, providing a large number of kinematic data. The goal of this research was to reduce that large amount of data to a set of key features best describing wheelchair mobility performance in match play and present them in meaningful way for both scientists and athletes. To test the discriminative power, wheelchair mobility characteristics of athletes with different performance levels were compared. The wheelchair kinematics of 29 (inter-)national level athletes were measured during a match using three inertial sensors mounted on the wheelchair. Principal component analysis was used to reduce 22 kinematic outcomes to a set of six outcomes regarding linear and rotational movement; speed and acceleration; average and best performance. In addition, it was explored whether groups of athletes with known performance differences based on their impairment classification also differed with respect to these key outcomes using univariate general linear models. For all six key outcomes classification showed to be a significant factor (p<0.05). We composed a set of six key kinematic outcomes that accurately describe wheelchair mobility performance in match play. The key kinematic outcomes were displayed in an easy to interpret way, usable for athletes, coaches and scientists. This standardized representation enables comparison of different wheelchair sports regarding wheelchair mobility, but also evaluation at the level of an individual athlete. By this means, the tool could enhance further development of wheelchair sports in general.
对运动员个人轮椅移动性能进行定量评估是评估比赛表现、改善轮椅设置和优化训练程序的一个必要前提条件。基于惯性测量单元（IMU）的方法可用于进行这种定量评估，提供大量运动学数据。本研究的目标是将大量数据精简为一组最能描述比赛中轮椅移动性能的关键特征，并以对科学家和运动员都有意义的方式呈现这些特征。为了测试辨别力，比较了不同表现水平运动员的轮椅移动特征。在一场比赛中，使用安装在轮椅上的三个惯性传感器测量了29名国际水平运动员的轮椅运动学数据。主成分分析用于将22个运动学结果精简为一组关于线性和旋转运动、速度和加速度、平均和最佳表现的六个结果。此外，使用单变量一般线性模型探讨了根据损伤分类具有已知表现差异的运动员组在这些关键结果方面是否也存在差异。对于所有六个关键结果，分类都是一个显著因素（p<0.05）。我们组成了一组六个关键运动学结果，准确描述了比赛中轮椅的移动性能。关键运动学结果以易于解释的方式呈现，可供运动员、教练和科学家使用。这种标准化表示法不仅能够比较不同轮椅运动在轮椅移动方面的情况，还能在个体运动员层面进行评估。通过这种方式，该工具总体上可以促进轮椅运动的进一步发展。
