Rainoldi A, Gazzoni M, Melchiorri G
Motor Science Research Center, SUISM University of Turin, Piazza Bernini 12, 10143 Turin, Italy.
Physiol Meas. 2008 Mar;29(3):331-40. doi: 10.1088/0967-3334/29/3/004. Epub 2008 Feb 22.
The aim of this study was to determine whether the rate of change of surface EMG variables during a constant force isometric fatiguing contraction (80% MVC, 30 s of duration) of vastus medialis obliquus (VMO) and vastus lateralis (VL) muscles is able to distinguish between nine sprinters and nine long distance runners. Signals were recorded with linear arrays of eight electrodes. Muscle fiber conduction velocity (CV), mean frequency (MNF) of EMG signal power spectrum and average rectified value (ARV) of the EMG signal were calculated both from the whole signal (global approach) and from motor unit action potentials (MUAP distribution approach) extracted from the signal. Results showed significant differences only in the MUAP distribution approach. For this approach, the rates of change of conduction velocity (CV) (both absolute and normalized with respect to the initial value) were found to be always greater in the sprinter (VMO: -0.012 +/- 0.011 m s(-2) and -0.25 +/- 0.21%/s; VL: -0.014 +/- 0.009 m s(-2) and -0.27 +/- 0.17%/s) than in the long distance runner group (VMO: -0.004 +/- 0.006 m s(-2) and -0.08 +/- 0.14%/s; VL: 0.003 +/- 0.012 m s(-2) and 0.08 +/- 0.26%/s) (VL: p = 0.016, VMO: p = 0.034). No differences were observed in the CV initial values and in rates of change of MNF, while MNF initial values recorded from the VMO were found to be greater (119.6 +/- 25.1 Hz) in the sprinter group than in the long distance runner group (99.2 +/- 12.1 Hz, p = 0.016). A correlation was found between initial values and rates of change of CV in the VMO (r = 0.61, p < 0.01, N = 18, Spearman correlation coefficient). The consistency of these findings with the expected fiber type composition between sprinters and long distance runners and the identification of a set of candidated variables for the assessment of muscle adaptation during training and/or rehabilitation programs represent the main results of the study.
本研究的目的是确定在股内侧斜肌(VMO)和股外侧肌(VL)进行持续力等长疲劳收缩(80%最大自主收缩,持续30秒)期间,表面肌电图变量的变化率是否能够区分9名短跑运动员和9名长跑运动员。使用8电极线性阵列记录信号。从整个信号(整体方法)以及从信号中提取的运动单位动作电位(MUAP分布方法)计算肌肉纤维传导速度(CV)、肌电图信号功率谱的平均频率(MNF)和肌电图信号的平均整流值(ARV)。结果仅在MUAP分布方法中显示出显著差异。对于该方法,发现短跑运动员组(VMO:-0.012±0.011 m s(-2)和-0.25±0.21%/s;VL:-0.014±0.009 m s(-2)和-0.27±0.17%/s)的传导速度(CV)变化率(绝对值和相对于初始值的归一化值)始终大于长跑运动员组(VMO:-0.004±0.006 m s(-2)和-0.08±0.14%/s;VL:0.003±0.012 m s(-2)和0.08±0.26%/s)(VL:p = 0.016,VMO:p = 0.034)。在CV初始值和MNF变化率方面未观察到差异,而发现短跑运动员组从VMO记录的MNF初始值(119.6±25.1 Hz)高于长跑运动员组(99.2±12.1 Hz,p = 0.016)。在VMO中发现CV初始值与变化率之间存在相关性(r = 0.61,p < 0.01,N = 18,Spearman相关系数)。这些发现与短跑运动员和长跑运动员之间预期的纤维类型组成的一致性,以及确定一组用于评估训练和/或康复计划期间肌肉适应性的候选变量,是该研究的主要结果。