简短报告:从高强度运动后的汗液乳酸和汗液速率估计血乳酸动态 - - 一项基于回归的试点研究
Masaaki Hattori1, Kazuya Yashiro2
1Department of Community Development, Tokai University, Sapporo, Hokkaido, Japan.
Open access journal of sports medicine
|August 4, 2025
概括
测量汗液乳酸和汗流率的可穿戴传感器可以使用回归模型准确预测高强度运动后的血液乳酸动态.
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
- 生物标志物监测 生物标志物监测
背景情况:
- 血液中的乳酸盐 (BL) 是厌氧代谢和疲劳的关键指标.
- 正在探索诸如汗乳酸 (SWL) 和汗速率 (SWR) 等非侵入性替代品.
- 在强度炼后,SWL和SWR反映BL变化的能力尚不清楚.
研究的目的:
- 评估使用回归模型是否可以预测BL动态.
- 从可穿戴传感器中利用SWL和SWR的时间序列数据.
- 评估监测运动诱导的生理变化的非侵入性方法.
主要方法:
- 五名男性运动员完成了30秒的Wingate无氧测试.
- 使用可穿戴传感器持续监控SWL和SWR.
- 在运动后30分钟内测量了毛细血管血液中的乳酸水平.
主要成果:
- 血液乳酸在6.4分钟达到峰值,SWL和SWR显示双相模式.
- 在时间序列SWL/SWR数据和BL水平之间发现了强烈的相关性 (p < 0.001).
- 一个多变量回归模型准确地预测了BL (R2 = 0.763,p < 0.001).
结论:
- 使用汗水数据的回归方法可用于估计BL动态.
- 对SWL和SWR的非侵入性监测显示出对高强度运动的评估有希望.
- 可穿戴式传感器技术可以为生理反应提供宝贵的见解.
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