Tierney Peter, Blake Catherine, Delahunt Eamonn
The Football Association, Tatenhill, Burton upon Trent, UK.
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Scand J Med Sci Sports. 2020 Nov;30(11):2193-2204. doi: 10.1111/sms.13779. Epub 2020 Aug 11.
This study aimed to determine the relationship between collision metrics from a commercially available micro-sensor technology unit (MST) and the count of collisions coded by expert video analysts in professional rugby union. Forty-four professional rugby union players wore MST units during match play. We analyzed 245 combined data files from 11 competitive matches, resulting in the inclusion of a total of 9202 individual collision events. Collision metrics (the count of collisions and the Collision Load™) were analyzed via the manufacturer's software. Each match was also video recorded and evaluated by two expert video analysts. Pearson's correlation coefficients were used to determine the relationship between the count of collisions coded by the expert video analysts, and both MST collision metrics. One-way ANOVA was used to determine whether differences in the Collision Load™ for individual collision events existed between different playing positions. Very large-nearly perfect correlations were observed between the count of collisions coded by the expert video analysts and both MST collision metrics (the count of collisions: r = 0.91, 90% CI = 0.89-0.93; the Collision Load™: r = 0.89; 90% CI = 0.87-0.91). Differences in the Collision Load™ for individual collision events were identified between different playing positions. Collision metrics registered by the MST software relate very strongly with the count of collisions coded by expert video analysts. The typical Collision Load per individual collision event varies depending on player position. The application of automated collision detection for rugby union appears feasible.
本研究旨在确定市售微传感器技术装置（MST）的碰撞指标与职业英式橄榄球联盟中由专业视频分析师编码的碰撞次数之间的关系。44名职业英式橄榄球联盟球员在比赛中佩戴了MST装置。我们分析了来自11场比赛的245个组合数据文件，共纳入了9202个单独的碰撞事件。通过制造商的软件分析碰撞指标（碰撞次数和碰撞负荷™）。每场比赛还进行了视频录制，并由两名专业视频分析师进行评估。使用皮尔逊相关系数来确定专业视频分析师编码的碰撞次数与MST的两个碰撞指标之间的关系。使用单因素方差分析来确定不同比赛位置的单个碰撞事件在碰撞负荷™方面是否存在差异。在专业视频分析师编码的碰撞次数与MST的两个碰撞指标之间观察到非常大且近乎完美的相关性（碰撞次数：r = 0.91，90%CI = 0.89 - 0.93；碰撞负荷™：r = 0.89；90%CI = 0.87 - 0.91）。在不同比赛位置之间发现了单个碰撞事件在碰撞负荷™方面的差异。MST软件记录的碰撞指标与专业视频分析师编码的碰撞次数密切相关。每个单独碰撞事件的典型碰撞负荷因球员位置而异。在英式橄榄球联盟中应用自动碰撞检测似乎是可行的。
