Cannon Daniel T, Kolkhorst Fred W, Cipriani Daniel J
School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182-7251, USA.
J Physiol Anthropol. 2007 Sep;26(5):541-6. doi: 10.2114/jpa2.26.541.
The origin of the slow component (SC) of oxygen uptake kinetics, presenting during exercise above the ventilatory threshold (VT), remains unclear. Possible physiologic mechanisms include a progressive recruitment of type II muscle fibers. The purpose of this study was to examine alterations in muscle activity through electromyography (EMG) and mean power frequency (MPF) analysis during heavy cycling exercise. Eight trained cyclists (mean +/- S.E.; age = 30 +/- 3 years, height = 1771 +/- 4 cm, weight = 73.8 +/- 6.5 kg, VO2max = 4.33 +/- 0.28 l min(-1)) completed transitions from 20W to a workload equaling 50% of the difference between V(T) and VO2max. VO2 was monitored using a breath-by-breath measurement system, and EMG data were gathered from surface electrodes placed on the gastrocnemius lateralis and vastus lateralis oblique. Breath-by-breath data were time aligned, averaged, interpolated to 1-s intervals, and modeled with non-linear regression. Mean power frequency (MPF) and RMS EMG values were calculated for each minute during the exercise bout. Additionally, MPF was determined using both isolated EMG bursts and complete pedal revolutions. All subjects exhibited a VO2 SC (mean amplitude = 0.98 +/- 0.16 l min(-1)), yet no significant differences were observed during the exercise bout in MPF or RMS EMG data (p > 0.05) using either analysis technique. While it is possible that the sensitivity of EMG may be insufficient to identify changes in muscle activity theorized to affect the VO2 SC, the data indicated no relationship between MPF/EMG and the SC during heavy cycling.
在高于通气阈值(VT)的运动过程中出现的摄氧动力学慢成分(SC)的起源尚不清楚。可能的生理机制包括II型肌纤维的逐渐募集。本研究的目的是通过肌电图(EMG)和平均功率频率(MPF)分析,来检查重度骑行运动期间肌肉活动的变化。八名训练有素的自行车运动员(平均值±标准误;年龄=30±3岁,身高=177.1±4厘米,体重=73.8±6.5千克,最大摄氧量=4.33±0.28升·分钟⁻¹)完成了从20瓦到等于VT与最大摄氧量差值50%的工作量的过渡。使用逐次呼吸测量系统监测摄氧量,并从放置在腓肠肌外侧和股外侧斜肌上的表面电极收集EMG数据。逐次呼吸数据进行时间对齐、平均、内插到1秒间隔,并采用非线性回归建模。在运动期间每分钟计算平均功率频率(MPF)和均方根肌电图(RMS EMG)值。此外,使用孤立的EMG爆发和完整的踏板旋转来确定MPF。所有受试者均表现出摄氧量慢成分(平均幅度=0.98±0.16升·分钟⁻¹),但使用任何一种分析技术,在运动期间MPF或RMS EMG数据中均未观察到显著差异(p>0.05)。虽然EMG的敏感性可能不足以识别理论上影响摄氧量慢成分的肌肉活动变化,但数据表明在重度骑行期间MPF/EMG与慢成分之间没有关系。