肌肉氧和分析仪与其他监测和量化工具在最大增量跑步机测试中的关系
Florent Osmani1, Carlos Lago-Fuentes1, Josep Alemany-Iturriaga2
1Faculty of Health Sciences, Universidad Europea del Atlántico, Santander, Spain.
Frontiers in physiology
|June 5, 2023
概括
近红外光谱 (NIRS) 肌肉氧和 (SmO2) 数据无法可靠地识别跑步者的第二通风门 (VT2). 在最大跑步机测试中,SmO2与已建立的运动性能指标没有相关性.
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:
- 第二个呼吸门 (VT2) 是耐力运动表现的关键指标.
- 准确识别VT2对于培训处方和绩效评估至关重要.
- 在体育科学中,VT2检测的非侵入性方法对体育科学有很大的兴趣.
研究的目的:
- 为了调查近红外光谱学 (NIRS) 衍生的肌肉氧和 (SmO2) 是否可以在最大增量跑步机测试中识别VT2.
- 确定SmO2与已确定的运动性能参数之间的相关性,如乳酸度 (LT),感知劳动力 (RPE),心率 (HR) 和跑力 (W) 的评级.
主要方法:
- 24名非专业跑步者进行了最大增量跑步机测试.
- 肌肉氧和度 (SmO2) 用NIRS测量在巨大的横向.
- 运行功率,HR,LT和RPE的数据同时收集.
- 使用斯皮尔曼相关性分析来评估变量之间的关系.
主要成果:
- 在最大有氧速度 (MAS) 的87.4%左右确定了VT2.
- 在VT2的SmO2值和LT之间没有发现显著的相关性 (p = 0.076).
- SmO2与其他运动性能变量没有显著的相关性 (p > 0.05).
- 在运行功率,HR,LT和RPE之间观察到强烈的相关性 (p < 0.05).
结论:
- 仅由NIRS衍生的SmO2数据不足以确定该人群中的VT2.
- NIRS工具 (Humon Hex) 在识别VT2或与其他关键炼参数相关联方面没有显示出有用性.
- 可能需要进一步的研究来探索替代NIRS应用程序或用于VT2评估的不同协议.
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