Blaesser R J, Couls L M, Lee C F, Zuniga J M, Malek M H
1Integrative Physiology of Exercise Laboratory, Physical Therapy Program, College of Pharmacy and Health Sciences, Wayne State, University, Detroit, MI, USA.
Scand J Med Sci Sports. 2015 Apr;25(2):159-65. doi: 10.1111/sms.12184.
The purposes of this study were to determine if (a) the log-transformed model can be applied to dynamic exercise and (b) the slope and y-intercept terms can provide additional information above and beyond the polynomial regression analyses. Eleven physically active individuals performed incremental cycle ergometry on a single occasion. Electromyographic electrodes were placed on the three superficial quadriceps muscles to record muscle activation during the exercise test. The patterns of responses for electromyographic amplitude vs power output were analyzed with polynomial and log-transformed regression models. The results of the polynomial regression for the composite data indicated that the best-fit model for the vastus lateralis muscle was linear (R(2) = 0.648, P < 0.0001), whereas the best-fit model for the rectus femoris (R(2) = 0.346, P = 0.013) and vastus medialis (R(2) = 0.764,P = 0.020) muscles was quadratic. One-way repeated measures analyses indicated no significant differences(P > 0.05) across the three superficial quadriceps muscles for the slope and y-intercept terms. These findings suggest that the log-transformed model may be a more versatile statistical approach to examining neuromuscular responses during dynamic exercise.
（a）对数转换模型是否可应用于动态运动；（b）斜率和y轴截距项能否在多项式回归分析之外提供额外信息。11名身体活跃的个体一次性进行递增式蹬车运动测试。将肌电图电极置于股四头肌的三块表浅肌肉上，以记录运动测试期间的肌肉激活情况。采用多项式和对数转换回归模型分析肌电图振幅与功率输出的反应模式。综合数据的多项式回归结果表明，股外侧肌的最佳拟合模型为线性（R² = 0.648，P < 0.0001），而股直肌（R² = 0.346，P = 0.013）和股内侧肌（R² = 0.764，P = 0.020）的最佳拟合模型为二次曲线。单向重复测量分析表明，三块股四头肌表浅肌肉在斜率和y轴截距项上无显著差异（P > 0.05）。这些发现表明，对数转换模型可能是一种更通用的统计方法，用于检查动态运动期间的神经肌肉反应。
