Piqueras-Sanchiz Francisco, Martin-Rodriguez Saul, Cornejo-Daza Pedro J, Sánchez-Valdepeñas Juan, Serrano-Gómez Virginia, Pareja-Blanco Fernando, García-García Óscar
Department of Sports and Computers Sciences, Physical Performance & Sports Research Center, Universidad Pablo de Olavide, Sevilla, Spain.
Department of Physical Education, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
J Hum Kinet. 2024 May 17;93:145-154. doi: 10.5114/jhk/185297. eCollection 2024 Jul.
The aim of this study was to assess whether tensiomyography is a tool sensitive enough to detect peripheral fatigue. Twenty-six strength-trained men were split into two groups: 1) a fatigued group (FG), who performed a full-squat (SQ) standardized warm-up plus 3 x 8 SQs with 75% 1RM with a 5-min rest interval, and 2) a non-fatigued group (NFG), who only did the SQ standardized warm-up. The countermovement jump (CMJ), maximal isometric force (MIF) in the SQ at 90º knee flexion, and TMG in vastus medialis (VM) and vastus lateralis (VL) muscles were assessed pre- and post-protocols. Data were analyzed through mixed ANOVA, logistic regression analysis, and receiver-operating curves. There were significant group x time interactions (p < 0.01) for CMJ height, MIF, maximal radial displacement (Dm), and radial displacement velocity (Vrd) since the FG acutely decreased in these variables, while no significant changes were observed for the NFG. The logistic regression showed a significant model for detecting fatigue, whether it used the CMJ or MIF, with only the relative change in VL-Vrd as a fatigue predictor. The determination of the area under the curve showed that Dm and Vrd had good to excellent discriminative ability. Dm and Vrd90 are sensitive to detect fatigue in VL and VM muscles in resistance training contexts.
本研究的目的是评估张力肌电图是否是一种足够敏感的工具来检测外周疲劳。26名经过力量训练的男性被分为两组：1）疲劳组（FG），进行全蹲（SQ）标准化热身，加上3组每组8次的全蹲，负荷为75%的1RM，组间休息5分钟；2）非疲劳组（NFG），只进行全蹲标准化热身。在实验前后评估反向运动跳跃（CMJ）、90°膝关节屈曲时全蹲的最大等长力量（MIF）以及股内侧肌（VM）和股外侧肌（VL）的张力肌电图。数据通过混合方差分析、逻辑回归分析和受试者工作特征曲线进行分析。由于FG组这些变量急剧下降，而NFG组未观察到显著变化，因此在CMJ高度、MIF、最大径向位移（Dm）和径向位移速度（Vrd）方面存在显著的组×时间交互作用（p<0.01）。逻辑回归显示，无论使用CMJ还是MIF，检测疲劳的模型均具有显著性，仅将VL-Vrd的相对变化作为疲劳预测指标。曲线下面积的测定表明，Dm和Vrd具有良好到优秀的判别能力。在抗阻训练环境中，Dm和Vrd90对检测VL和VM肌肉的疲劳很敏感。
