Metabolic and Body Composition Lab, Department of Health and Exercise Science, Huston Huffman Center, University of Oklahoma, Norman, Oklahoma, USA.
J Strength Cond Res. 2010 Jan;24(1):109-13. doi: 10.1519/JSC.0b013e31819b79bc.
The submaximal electromyographic fatigue threshold test (EMG(FT)) has been shown to be highly correlated to ventilatory threshold (VT) as determined from maximal graded exercise tests (GXTs). Recently, a prediction equation was developed using the EMG(FT) value to predict VT. The aim of this study, therefore, was to determine if this new equation could accurately track changes in VT after high-intensity interval training (HIIT). Eighteen recreationally trained men (mean +/- SD; age 22.4 +/- 3.2 years) performed a GXT to determine maximal oxygen consumption rate (V(O2)peak) and VT using breath-by-breath spirometry. Participants also completed a discontinuous incremental cycle ergometer test to determine their EMGFT value. A total of four 2-minute work bouts were completed to obtain 15-second averages of the electromyographic amplitude. The resulting slopes from each successive work bout were used to calculate EMG(FT). The EMG(FT) value from each participant was used to estimate VT from the recently developed equation. All participants trained 3 days a week for 6 weeks. Training consisted of 5 sets of 2-minute work bouts with 1 minute of rest in between. Repeated-measures analysis of variance indicated no significant difference between actual and predicted VT values after 3 weeks of training. However, there was a significant difference between the actual and predicted VT values after 6 weeks of training. These findings suggest that the EMG(FT) may be useful when tracking changes in VT after 3 weeks of HIIT in recreationally trained individuals. However, the use of EMG(FT) to predict VT does not seem to be valid for tracking changes after 6 weeks of HIIT. At this time, it is not recommended that EMG(FT) be used to predict and track changes in VT.
亚极量肌电图疲劳阈测试（EMG(FT)）已被证明与最大递增运动测试（GXT）确定的通气阈（VT）高度相关。最近，开发了一种使用 EMG(FT) 值预测 VT 的预测方程。因此，本研究的目的是确定该新方程是否可以准确跟踪高强度间歇训练（HIIT）后 VT 的变化。18 名有经验的男性（平均 +/- SD；年龄 22.4 +/- 3.2 岁）进行 GXT 以确定最大摄氧量率（V(O2)peak）和 VT 使用逐口气呼吸描记法。参与者还完成了不连续递增式测功计测试以确定他们的 EMGFT 值。总共完成了 4 个 2 分钟的工作回合，以获得 15 秒的肌电图幅度平均值。每个连续工作回合的斜率用于计算 EMG(FT)。每位参与者的 EMG(FT) 值用于从最近开发的方程中估计 VT。所有参与者每周训练 3 天，共 6 周。训练包括 5 组 2 分钟的工作回合，每回合之间休息 1 分钟。重复测量方差分析表明，训练 3 周后实际和预测的 VT 值之间没有显著差异。然而，训练 6 周后，实际和预测的 VT 值之间存在显著差异。这些发现表明，在有经验的个体进行 3 周 HIIT 后，EMG(FT)可能有助于跟踪 VT 的变化。然而，在进行 6 周 HIIT 后，使用 EMG(FT)预测 VT 似乎并不有效。目前，不建议使用 EMG(FT)预测和跟踪 VT 的变化。
Zotero 插件