我们能预测长期运行功率输出吗? 临界功率,功率定律和对数模型的有效性
Santiago A Ruiz-Alias1,2, Alberto A Ñancupil-Andrade1,2,3, Alejandro Pérez-Castilla4,5
1Department of Physical Education and Sport, University of Granada, Granada, Spain.
Journal of strength and conditioning research
|October 17, 2023
概括
预测长期运行功率输出对于运动员来说至关重要. 像CP 2hyp,CP 3hyp,CP stryd和CP猎这样的有效模型准确地估计了30分钟和60分钟的功率,有助于训练和性能.
科学领域:
- 运动生理学 运动生理学
- 运动科学 运动科学 运动科学
- 绩效分析 绩效分析是指性能分析.
背景情况:
- 预测长距离跑步表现对运动员和教练来说是一项挑战.
- 经验模型被用来估计随着时间的推移,运行工作率的下降.
- 准确预测持续输出功率对于训练优化至关重要.
研究的目的:
- 评估关键功率 (CP),功率规律和Peronnet模型的有效性,以预测长时间 (30分钟和60分钟) 的运行功率输出.
- 为了比较各种基于CP的模型和传统模型的持续运行努力的预测准确度.
主要方法:
- 15名训练有素的运动员在4周内完成了7次计时赛 (3-60分钟).
- 使用CP工作,CP1/时间,CP2hyp,CP3hyp,CP stryd,CP猎,功率法和Peronnet模型生成了功率持续时间曲线 (PDC).
- 对30分钟和60分钟功率输出的模型预测与实际性能进行了比较.
主要成果:
- CP 2hyp,CP 3hyp,CP stryd和CP猎模型为30分钟和60分钟的功率输出提供了有效的预测 (误差≤2.6%).
- CP工作和CP1/时间模型显示了显著的预测错误 (≥4.4%在30分钟,≥8.1%在60分钟).
- 动力法和Peronnet模型在较长的持续时间 (≤-6.6%在60分钟) 上显示出越来越多的预测错误,受运动员耐力的影响.
结论:
- 建议使用特定的临界功率模型 (CP 2hyp,CP 3hyp,CP stryd,CP cheetah) 来准确预测30分钟和60分钟的运行功率输出.
- 运动员和从业者可以利用这些验证的模型来告知训练和表现策略.
- 传统的功率规律和Peronnet模型在预测耐力赛事的持续功率输出方面存在局限性.
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