Graduate School of Sport Sciences of Waseda University, Saitama, JAPAN.
Faculty of Sport Sciences Waseda University, Saitama, JAPAN.
Med Sci Sports Exerc. 2021 Mar 1;53(3):643-652. doi: 10.1249/MSS.0000000000002497.
The purpose of this study was to investigate the relationship between spatiotemporal variables of running and onset/offset timing of rectus femoris (RF) and biceps femoris (BF) muscle activities in both legs.
Eighteen male well-trained athletes (age = 20.7 ± 1.8 yr) were asked to run 50 m at maximal speed. The spatiotemporal variables (running speed, step frequency, and step length) over the distance from 30 to 50 m were measured. In addition, RF and BF muscle activities were obtained from both legs using wireless EMG sensors. To quantify the onset and offset timing of muscle activity, the band-pass filtered (20-450 Hz) EMG signal was processed using a Teager-Kaiser energy operator filter. We calculated RF and BF onset/offset timings (%) in both legs (e.g., ipsilateral leg RF [iRF] and contralateral leg BF [cBF]) during running cycle. Based on those timings, we obtained the EMG timing variables (%) as follows: "Switch1 (iBF-offset to iRF-onset)," "Switch2 (iRF-offset to iBF-onset)," "Scissors1 (cBF-onset to iRF-onset)," and "Scissors2 (iRF-offset to cBF-offset).
We found that "Switch2" had positive (r = 0.495, P = 0.037), "Scissors1" had negative (r = -0.469, P = 0.049), and "Scissors2" had positive (r = 0.574, P = 0.013) correlations with step frequency. However, these variables had no significant correlations with running speed or step length.
These results indicate that higher step frequency would be achieved by smoother switching of the agonist-antagonist muscle activities and earlier iRF activation relative to the cBF activity. To improve sprint performance, athletes and coaches should consider not only muscle activities in one leg but also coordination of muscle activities in both legs.
本研究旨在探讨跑步的时空变量与双侧股直肌(RF)和股二头肌(BF)肌肉活动的起始/结束时间之间的关系。
要求 18 名训练有素的男性运动员(年龄=20.7±1.8 岁)以最大速度跑 50 米。从 30 米到 50 米的距离测量时空变量(跑步速度、步频和步长)。此外,使用无线 EMG 传感器从双腿获得 RF 和 BF 肌肉活动。为了量化肌肉活动的起始和结束时间,使用 Teager-Kaiser 能量运算符滤波器对带通滤波(20-450 Hz)EMG 信号进行处理。我们计算了跑步周期中双侧腿(例如,同侧腿 RF [iRF]和对侧腿 BF [cBF])中 RF 和 BF 的起始/结束时间(%)。基于这些时间,我们获得了以下 EMG 时间变量(%):“Switch1(iBF-offset 到 iRF-onset)”、“Switch2(iRF-offset 到 iBF-onset)”、“Scissors1(cBF-onset 到 iRF-onset)”和“Scissors2(iRF-offset 到 cBF-offset)”。
我们发现“Switch2”呈正相关(r=0.495,P=0.037),“Scissors1”呈负相关(r=-0.469,P=0.049),“Scissors2”呈正相关(r=0.574,P=0.013)与步频相关。然而,这些变量与跑步速度或步长没有显著相关性。
这些结果表明,通过更平滑地切换拮抗肌活动以及相对于 cBF 活动更早地激活 iRF,可以实现更高的步频。为了提高短跑成绩,运动员和教练不仅应该考虑一条腿的肌肉活动,还应该考虑两条腿的肌肉活动的协调性。