School of Mechanical Engineering, Faculty of Engineering, Computer and Mathematical Sciences, The University of Adelaide , Adelaide, Australia.
Department of Movement Science, the Australian Institute of Sport , Canberra, Australia.
Sports Biomech. 2021 Feb;20(1):55-70. doi: 10.1080/14763141.2018.1522367. Epub 2018 Nov 27.
Inertial measurement units (IMUs) provide a practical solution for attaining key performance data for wheelchair sports. The effects of IMU placement position on the identification of propulsion characteristics are unknown. The aim of this study was to determine the variability in the reliability of cycle time measurements (time between hand contacts) across IMU locations on the chair frame (axle housings), and wheels (axle, push rim, outer rim), on both the left and right sides ( = 8). Contacts were defined by spikes in the resultant acceleration data, corresponding to impact between the hands and push rim, and verified against motion capture. Five elite wheelchair racing athletes propelled at racing speeds on a treadmill. Excellent inter-rater Intraclass Correlation Coefficient values indicated high reliability and repeatability for both motion capture and IMU signal analysis approaches (= 0.997, < 0.001 and = 0.990, < 0.001, respectively). The best results were (as determined by the best between method agreement) were observed for IMUs located on the frame. Detection reliability was positively associated with signal-to-noise ratio of the acceleration data. The IMU assessment approach facilitates an automated processing capability, which is an improvement to the currently used video analysis.
惯性测量单元 (IMU) 为获取轮椅运动的关键性能数据提供了一种实用的解决方案。IMU 放置位置对推进特性识别的影响尚不清楚。本研究的目的是确定在轮椅车架(轴壳)和车轮(轴、推边、外轮)的 IMU 位置(n=8)上,左右两侧的周期时间测量(手接触之间的时间)的可靠性的变异性。接触是由合成加速度数据中的尖峰确定的,对应于手和推边之间的撞击,并通过运动捕捉进行验证。5 名精英轮椅竞速运动员在跑步机上以竞赛速度推动轮椅。优秀的组内相关系数表明运动捕捉和 IMU 信号分析方法的可靠性和可重复性都很高(=0.997,<0.001 和=0.990,<0.001,分别)。(通过最佳组间一致性确定)最好的结果是在位于车架上的 IMU 上观察到的。检测可靠性与加速度数据的信噪比呈正相关。IMU 评估方法实现了自动化处理能力,这是对当前使用的视频分析方法的改进。