为精确预测复杂的计时试验过程中估计的循环性能,对输出功率进行最佳的体重规范化
Marton Horvath1, Erik P Andersson1
1Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden.
Frontiers in sports and active living
|September 3, 2025
概括
这项研究引入了一种新的方法,通过考虑地形和风等外部因素来预测自行车性能. 它发现最优的功率对质量指数对于准确的种族预测是特定的.
科学领域:
- 运动科学
- 生物力学
- 绩效分析
背景情况:
- 自行车中的绝对和质量正常化功率输出有局限性.
- 在性能分析中经常忽略地形,风和步调策略等外部因素.
研究的目的:
- 引入一个数值方法来量化外部力量对循环速度的影响.
- 根据复杂路径的平均输出功率进行准确的循环性能预测.
主要方法:
- 五个精英骑自行车者的计时表现,使用功率与持续时间的关系.
- 将性能估计应用于假设和现实时间试验课程.
- 根据速度,形态和外部因素来确定功率对质量比的最佳质量指数.
主要成果:
- 时间加权的最佳质量指数是特定于课程的 (
- 这些指标准确地预测了估计的性能 (
R 2 = 0.99 ).
结论:
- 功率对质量比的最佳质量指数是特定于课程的.
- 该方法精确地量化了梯度,风和质量对功率转换的影响.
- 在现实环境中需要进一步验证.
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