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根据比赛位置分析精英男性足球运动员加速度计得出的瞬时加速度分布曲线的变化:一项初步研究。

Variation in Accelerometer-Derived Instantaneous Acceleration Distribution Curves of Elite Male Soccer Players According to Playing Position: A Pilot Study.

作者信息

Oliveira Pedro, Moura Felipe Arruda, Baptista Ivan, Nakamura Fábio Yuzo, Afonso José

机构信息

Centre of Research, Education, Innovation, and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, 4200-450 Porto, Portugal.

Laboratory of Applied Biomechanics, State University of Londrina, Londrina 86057-970, Brazil.

出版信息

Sports (Basel). 2024 Sep 23;12(9):263. doi: 10.3390/sports12090263.

Abstract

The incorporation of triaxial accelerometers into Global Positioning Systems (GPS) has significantly advanced our understanding of accelerations in sports. However, inter-positional differences are unknown. This study aimed to explore the variability of acceleration and deceleration (Acc) distribution curves according to players' positions during soccer matches. Thirty-seven male players from a national-level Portuguese club were monitored using 10 Hz GPS with an embedded accelerometer during the 2021/2022 season. Resultant Acc was obtained from the x (lateral), y (frontal/back), and z (vertical) axes and expressed in gravitational units (g). Statistical Parametric Mapping was employed to compare playing positions: central defenders (CD), fullbacks (FB), central midfielders (CM), wide midfielders (WM), and strikers (ST). All positions exhibited a decreasing Acc distribution curve, very similar in shape, with a high frequency of events in the lower ranges (i.e., 0 to 1 g) and a lower frequency of events in the higher values (2 to 10 g). Post hoc comparisons revealed significant differences between all positions, except between FB and WM. Out of 1000 points in the curve, CD had 540, 535, 414, and 264 different points compared to FB, CM, WM, and ST, respectively. These findings indicate that players in different positions face distinct demands during matches, emphasizing the need for position-specific Acc analysis and training programming. By analyzing Acc as a continuous variable, this study highlights the importance of individualized monitoring to ensure the comprehensive and precise tracking of all player activities, without overlooking or omitting critical information.

摘要

将三轴加速度计集成到全球定位系统(GPS)中,极大地推进了我们对运动中加速度的理解。然而,不同位置之间的差异尚不清楚。本研究旨在探讨足球比赛中根据球员位置的加速度和减速度(Acc)分布曲线的变化情况。在2021/2022赛季期间,使用嵌入加速度计的10 Hz GPS对来自一家葡萄牙国家级俱乐部的37名男性球员进行了监测。合成Acc是从x(横向)、y(前后)和z(垂直)轴获得的,并以重力单位(g)表示。采用统计参数映射来比较不同的比赛位置:中后卫(CD)、边后卫(FB)、中场中路球员(CM)、边锋(WM)和前锋(ST)。所有位置的Acc分布曲线均呈下降趋势,形状非常相似,在较低范围(即0至1 g)内事件发生频率较高,在较高值(2至10 g)内事件发生频率较低。事后比较显示,除了FB和WM之间外,所有位置之间均存在显著差异。在曲线的1000个点中,CD与FB、CM、WM和ST相比,分别有540、535、414和264个不同的点。这些发现表明,不同位置的球员在比赛中面临不同的需求,强调了针对特定位置进行Acc分析和训练规划的必要性。通过将Acc作为一个连续变量进行分析,本研究强调了个性化监测的重要性,以确保全面、精确地跟踪所有球员的活动,而不会忽略或遗漏关键信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/11436242/31fa33531068/sports-12-00263-g001.jpg

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