我们能预测长期运行功率输出吗? 这是一个选择合适的预测试验和经验模型的问题
Santiago A Ruiz-Alias1,2, Alberto A Ñancupil-Andrade3,4,5, Alejandro Pérez-Castilla6,7
1Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Carretera de Alfacar 21, 18011, Granada, Spain. aljruiz@ugr.es.
European journal of applied physiology
|June 5, 2023
概括
准确的长距离比赛性能预测对于训练至关重要. 这项研究发现,各种实证模型可以使用特定的时间试验配置准确估计60分钟的功率输出.
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
背景情况:
- 准确的性能预测对于运动员开发有效的节奏策略和长距离比赛的训练负载至关重要.
- 经验模型通常用于估计生理参数,但它们对预测长期功率输出的有效性需要进一步研究.
研究的目的:
- 评估不同实证模型的有效性,包括临界功率 (CP),功率定律和Peronnet,在预测60分钟功率输出方面.
- 为了确定准确的模型预测所需的时间试验的最佳数量和持续时间.
主要方法:
- 15名训练有素的运动员在5周的时间里完成了9次计时赛,时间从1分钟到60分钟不等.
- 使用各种CP模型 (CPwork,CP1/time,CP2hyp,CP3hyp),专有软件模型 (CPstryd,CPcheetah),电力法和Peronnet模型生成了电力持续时间曲线.
- 对60分钟输出功率的模型预测与实际性能进行了比较,根据偏差和置信区间评估有效性.
主要成果:
- 准确预测的最短有效配置因模型而异,有些只需要两个时间试验 (例如,CPstryd需要10-30分钟),而另一些则需要三次 (例如,CP2hyp,CP3hyp,CPcheetah需要3-5-30分钟).
- 所有测试的实证模型都提供了有效的60分钟功率输出估计,当选择的时间试验配置满足每个模型的特定装配要求时.
- 当使用适当的试验持续时间时,偏差和置信区间在模型中表示可接受的准确性.
结论:
- 经验模型可以可靠地预测耐力运动员的长期功率输出.
- 选择适当的时间试验配置对于最大限度地提高这些预测模型的准确性至关重要.
- 运动员和教练可以利用这些经过验证的模型与特定的计时数据来优化训练和比赛策略.
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