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在团队运动移动过程中,将常见滤波处理应用于全球导航卫星系统得出的加速度数据。

Applying common filtering processes to Global Navigation Satellite System-derived acceleration during team sport locomotion.

作者信息

Delves Robert I M, Duthie Grant M, Ball Kevin A, Aughey Robert J

机构信息

Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia.

School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, NSW, Australia.

出版信息

J Sports Sci. 2022 May;40(10):1116-1126. doi: 10.1080/02640414.2022.2051332. Epub 2022 Mar 13.

Abstract

This study aimed to observe whether there were substantial differences in acceleration during team-sport locomotion between GNSS manufacturers. Speed and acceleration were obtained from 7 professional rugby league athletes via 2 GNSS manufacturers (GPSports EVO, 10 Hz and STATSports Apex, 10 Hz) worn together during the same training sessions (n = 13). Raw GNSS data were exported from respective proprietary software and a 1 Hz, 4th-order Butterworth filter applied, with differences in speed and acceleration calculated between manufacturers. To determine the difference in acceleration and speed, a root mean square deviation (RMSD) was used. Linear mixed models were used and no substantial differences were found between manufacturers in raw and filtered speed variables. RMSD for average acceleration (m · s) decreased from raw (RMSD: 1.77 ± 0.37 m · s) to those seen at the filtered (RMSD: 0.27 ± 0.23 m · s) and twice filtered (0.24 ± 0.23 m · s) variables. Raw average acceleration (m · s) was substantially higher in Apex compared to EVO (Difference (Diff); CI: -0.82; -0.84 to -0.80). Following application of the common filter there was no substantial difference between GNSS models for average acceleration (Diff; CI: -0.04; -0.04 to -0.04). Acceleration variables derived from each manufacturer's proprietary software were substantially different.

摘要

本研究旨在观察全球导航卫星系统(GNSS)制造商之间在团队运动移动过程中的加速度是否存在显著差异。速度和加速度数据通过在同一训练课程(n = 13)中同时佩戴的2种GNSS制造商产品(GPSports EVO,10 Hz和STATSports Apex,10 Hz)从7名职业橄榄球联盟运动员处获取。原始GNSS数据从各自的专有软件导出,并应用1 Hz、四阶巴特沃斯滤波器,计算制造商之间速度和加速度的差异。为了确定加速度和速度的差异,使用了均方根偏差(RMSD)。采用线性混合模型,在原始和滤波后的速度变量方面,未发现制造商之间存在显著差异。平均加速度(m·s)的RMSD从原始数据(RMSD:1.77±0.37 m·s)降至滤波后(RMSD:0.27±0.23 m·s)和二次滤波后(0.24±0.23 m·s)的变量。与EVO相比,Apex的原始平均加速度(m·s)显著更高(差异(Diff);置信区间:-0.82;-0.84至-0.80)。应用通用滤波器后,GNSS模型在平均加速度方面没有显著差异(Diff;置信区间:-0.04;-0.04至-0.04)。每个制造商专有软件得出的加速度变量存在显著差异。

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