在动态疲劳过程中,在小牛的激进分子-对抗分子肌肉中分析波纹连贯性
Xindi Ni1, Loi Ieong1, Mai Xiang1
1School of Sport Science, Beijing Sport University, Beijing 100084, China.
Life (Basel, Switzerland)
|September 28, 2024
概括
在肌肉疲劳期间,中枢神经系统的控制转移. 起初,一个共同的驱动器激活肌肉,但后来,分化控制出现,稳定神经肌肉合,尽管疲劳.
科学领域:
- 神经肌肉生理学 神经肌肉生理学
- 发动机控制器的控制器
- 运动科学 运动科学
背景情况:
- 肌肉疲劳会改变中枢神经系统 (CNS) 和外围肌肉的沟通.
- 了解这些神经适应对于管理与疲劳相关的性能下降至关重要.
研究的目的:
- 为了研究在疲劳任务期间对激动肌肉和对抗肌肉的电肌图 (EMG) 特征的变化.
- 在动态肌肉疲劳进展过程中探索中枢神经系统控制策略.
主要方法:
- 22名健康的男性进行了令人疲劳的高跟鞋举起.
- 来自侧面胃角 (GL) 和前 (TA) 的EMG信号使用同步挤压波纹转换 (SST) 进行了分析.
- 关键参数包括RMS,MF,功率光谱,波形连贯性和协同激活比率.
主要成果:
- 电磁场功率和RMS增加,而平均频率最初下降.
- 在最后20%的任务中,GL参数稳定,但TA显示显著下降.
- 贝塔和玛肌肉间连贯性增加,而α连贯性和协同激活性保持不变.
结论:
- 中枢神经系统在疲劳时对激动肌肉和对抗肌肉采用不同的控制策略.
- 一个初始的共同驱动器之后,尽管增加了肌肉活动,但稳定的神经肌肉合.
- 这些发现提高了对神经肌肉适应疲劳的理解,并为有针对性的干预提供了信息.
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