动态心率和功率输出建模用于预测休骑自行车者的乳酸值
Loes Stessens1, Ine De Bot1, Jasper Gielen2
1Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, Leuven, 3000, Belgium.
Biomedical physics & engineering express
|February 12, 2026
概括
这项研究开发了一种使用心率和功率输出建模的非侵入性方法,以准确估计骑自行车者的第二乳酸值 (LT2),为血液乳酸测试提供了切实可行的替代方案.
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
- 生物医学工程 生物医学工程
背景情况:
- 评估第二个乳酸值 (LT2) 对于优化耐力训练至关重要.
- 传统的LT2评估需要侵入性血液乳酸测量.
- 对于运动员和教练来说,估计LT2的非侵入性方法是非常理想的.
研究的目的:
- 提出并验证一种用于估计骑自行车者的第二乳酸值 (LT2) 的非侵入性方法.
- 使用离散时间转移函数 (TF) 技术模拟动态心率 (HR) 对功率输出 (PO) 的反应.
- 为了比较时间变量 (TV) 和时间不变 (TI) TF模型的准确性,用于LT2估计.
主要方法:
- 11名训练有素的骑自行车者进行了增量步骤测试,同时测量HR,PO,气体交换和乳酸.
- 为了分析HR-PO动态,开发了两个离散时间转移函数模型 (时间不变和时间变量).
- 根据模型偏差估计了LT2,并使用修改后的Dmax方法与实验室衍生的LT2进行了验证.
主要成果:
- 与时间不变 (TI) 模型相比,时间变量 (TV) 模型在LT2估计中显示出明显更高的准确性.
- 电视模型估计的平均绝对误差为4%,并预测了91%的参与者在10W以内的LT2 (Pearson r = 0.947).
- 电视模型可靠地捕捉了HR-PO的动态变化,特别是在过渡到重度-重度运动强度时.
结论:
- 拟议的时间变量转移函数建模方法为骑自行车的人的LT2估计提供了准确和实用的非侵入性方法.
- 这种方法利用随时可用的心率和功率输出数据,使其适合实验室和现场设置.
- 这种技术的非侵入性提高了运动员和教练在监测代谢值方面的可访问性.
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