[GPS数据在职业足球中的科学使用:相关性,规范值和实际建议]
Hannes Mühl1,2, Urs Granacher1
1Department of Sport and Sport Science, Exercise and Human Movement Science, Albert-Ludwigs-Universität Freiburg: Albert-Ludwigs-Universitat Freiburg, Freiburg, Germany.
概括
对于足球教练来说,GPS数据对于监控训练负载和预防受伤至关重要. 虽然人工智能显示出承诺,但GPS数据应该指导,而不是指挥,为最佳运动员表现和负载管理提供训练编程.
科学领域:
- 运动科学 运动科学 运动科学
- 足球分析 足球分析
- 绩效监测 绩效监测 绩效监测 绩效监测 绩效监测 绩效监测
背景情况:
- 全球定位系统 (GPS) 数据是职业足球中力量和条件教练和分析师不可或缺的组成部分.
- 高采样频率 (例如18 Hz) 是必要的,以准确捕捉短短的冲刺和方向变化.
- 关键的GPS参数包括总距离,冲刺计数,加速,减速和速度区距离,这对性能和伤害预防至关重要.
研究的目的:
- 提供基于文献的建议,用于在足球训练计划中使用GPS数据 (微循环,中循环,宏循环).
- 为应对将GPS衍生训练负载和运动数据整合到有效训练计划中的挑战.
- 探索人工智能 (AI) 在分析大型GPS数据集以进行负载管理方面的潜力.
主要方法:
- 对GPS数据在职业足球中的应用进行文献综述.
- 对体育表现和伤害预防的实际相关GPS参数的分析.
- 讨论人工智能在负载管理中的模式识别方法.
主要成果:
- 像加速度这样的GPS参数对于设计训练周期 (宏观,中等,微观) 是有价值的.
- 人工智能方法为大数据集的有效分析提供了潜力,但需要在不同团队进行进一步的验证.
- 现有的伤害风险预测模型 (例如,急性:慢性工作负载比) 有方法上的局限性.
结论:
- 建议对GPS数据进行上下文化使用,以指导教练,而不是作为训练处方的刚性参数.
- 对于在职业足球中培训管理和伤害风险预测的可靠和适用的工具,需要进一步的研究.
- 个性化培训计划应将客观的GPS数据与对感知力的主观评分相结合.
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