通过运动诱导的肌肉收缩性的变化来识别周围疲劳
Francisco Piqueras-Sanchiz1, Saul Martin-Rodriguez2, Pedro J Cornejo-Daza1
1Department of Sports and Computers Sciences, Physical Performance & Sports Research Center, Universidad Pablo de Olavide, Sevilla, Spain.
Journal of human kinetics
|August 12, 2024
概括
张力图 (TMG) 能有效地检测抵抗运动后腿部肌肉的外周疲劳. 特定的TMG测量,最大辐射位移 (Dm) 和辐射位移速度 (Vrd90) 在广侧面和中侧面,显示高灵敏度评估肌肉疲劳.
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
- 生物医学工程 生物医学工程
背景情况:
- 外周疲劳是影响运动表现和训练的关键因素.
- 需要准确和敏感的方法来量化运动期间和运动后的肌肉疲劳.
- 张力图 (TMG) 是一种测量肌肉机械性能的非侵入性技术.
研究的目的:
- 评估张力肌图 (TMG) 在检测外围肌肉疲劳方面的灵敏度.
- 为了将TMG参数与传统的疲劳测量方法比较,例如反运动跳跃 (CMJ) 和最大异面力 (MIF).
- 为了确定特定的TMG变量预测阻力训练个体的疲劳.
主要方法:
- 26名力量训练的男性被分为一个疲的组 (执行) 和一个不疲的对照组.
- 测量包括反运动跳跃 (CMJ),最大同位力 (MIF) 和巨大的中枢肌 (VM) 和巨大的侧面肌 (VL) 的TMG.
- 统计分析包括混合ANOVA,后勤回归和接收器操作特征 (ROC) 曲线分析.
主要成果:
- 对CMJ,MIF,TMG的最大辐射位移 (Dm) 和辐射位移速度 (Vrd90) 观察到显著的分组时间相互作用,这表明实验组的疲劳.
- 后勤回归确定了VL-Vrd90的相对变化是疲劳的重要预测因素.
- 在ROC分析中,Dm和Vrd90在检测肌肉疲劳方面具有良好的至优良的辨别能力.
结论:
- 张力图 (TMG) 在检测阻力运动引起的外周肌肉疲劳方面表现出高灵敏度.
- 特定的TMG参数,特别是大侧肌和中侧肌的Dm和Vrd90,是疲劳的有效指标.
- TMG 作为一种有价值的工具,用于评估抵抗训练环境中的肌肉疲劳.
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