从平均最大功率输出数据中估计临界功率的改进方法
James Spragg1, Peter Leo2, Jeroen Swart1,3
1HPALS, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Journal of sports sciences
|September 3, 2023
概括
临界功率 (CP) 可以从自行车比赛期间的平均最大输出功率 (MMP) 数据准确估计. 一种新的过方法 (CPFiltered) 与固定的MMP持续时间相比,可以更好地估计CP.
科学领域:
- 运动科学 运动科学 运动科学
- 运动生理学 运动生理学
- 业绩分析 业绩分析 业绩分析
背景情况:
- 临界功率 (CP) 和W'是耐力表现的关键生理指标.
- 从比赛数据中估计CP和W'对于训练优化非常有价值.
- 以往从平均最大输出功率 (MMP) 来估计CP和W'的方法有局限性.
研究的目的:
- 为了确定CP和W'是否可以从专业自行车比赛中收集的MMP数据中可靠地估计.
- 为了比较使用固定的MMP持续时间的CP和W'估计的准确性与新的过方法.
- 为了验证这些估计与实验室衍生的CP和W'值.
主要方法:
- 在90天的比赛中收集了13名U23职业骑自行车运动员的MMP数据.
- 在现场确定CP和W' (CP测试,W'测试).
- 从MMP中估计CP和W'使用固定持续时间 (CPFixed,W'Fixed) 和一种新的过技术 (CPFiltered,W'Filtered).
主要成果:
- 固定CP和过CP与测试CP没有显著差异 (p > 0.05).
- 固定和过的结果与测试结果没有显著差异 (p > 0.05).
- 无论是CP固定还是CP过都显示出与CP测试的显著相关性 (r = 0.872和0.922,分别;p < 0.0001),CP过提供了更好的估计.
结论:
- 使用固定和过方法,可以从自行车比赛中的MMP数据中有效估计CP.
- 新的过方法 (CPFiltered) 与固定的MMP持续时间相比,提供了更准确的CP估计.
- 虽然W'估计没有显著差异,但它们与实验室值的相关性并不显著,这表明需要进一步研究从种族数据中对W'估计.
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