Zafar Abdullah, Guay Samuel, Vinet Sophie-Andrée, Apinis-Deshaies Amélie, Creniault Raphaëlle, Martens Géraldine, Prince François, De Beaumont Louis
Department of Kinesiology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Centre de Recherche, Hôpital du Sacré-Cœur de Montréal, Montreal, QC H4J 1C5, Canada.
Sensors (Basel). 2024 Apr 21;24(8):2644. doi: 10.3390/s24082644.
This study aimed to use a data-driven approach to identify individualized speed thresholds to characterize running demands and athlete workload during games and practices in skill and linemen football players. Data were recorded from wearable sensors over 28 sessions from 30 male Canadian varsity football athletes, resulting in a total of 287 performances analyzed, including 137 games and 150 practices, using a global positioning system. Speed zones were identified for each performance by fitting a 5-dimensional Gaussian mixture model (GMM) corresponding to 5 running intensity zones from minimal (zone 1) to maximal (zone 5). Skill players had significantly higher ( < 0.001) speed thresholds, percentage of time spent, and distance covered in maximal intensity zones compared to linemen. The distance covered in game settings was significantly higher ( < 0.001) compared to practices. This study highlighted the use of individualized speed thresholds to determine running intensity and athlete workloads for American and Canadian football athletes, as well as compare running performances between practice and game scenarios. This approach can be used to monitor physical workload in athletes with respect to their tactical positions during practices and games, and to ensure that athletes are adequately trained to meet in-game physical demands.
本研究旨在采用数据驱动的方法，确定个性化的速度阈值，以表征技巧型和前锋型橄榄球运动员在比赛和训练期间的跑步需求及运动员工作量。对30名加拿大男子大学橄榄球运动员在28次训练课中通过可穿戴传感器记录的数据进行分析，使用全球定位系统，共分析了287次表现，包括137场比赛和150次训练。通过拟合一个五维高斯混合模型（GMM）为每次表现确定速度区间，该模型对应从最小强度（区间1）到最大强度（区间5）的5个跑步强度区间。与前锋相比，技巧型运动员在最大强度区间的速度阈值、花费时间百分比和跑动距离显著更高（<0.001）。比赛环境中的跑动距离相比训练显著更高（<0.001）。本研究强调了使用个性化速度阈值来确定美式和加拿大橄榄球运动员的跑步强度和运动员工作量，以及比较训练和比赛场景下的跑步表现。这种方法可用于在训练和比赛期间根据运动员的战术位置监测其身体工作量，并确保运动员得到充分训练以满足比赛中的身体需求。
