首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Electromyographic assessment of muscle fatigue during isometric vibration training at varying frequencies
【24h】

Electromyographic assessment of muscle fatigue during isometric vibration training at varying frequencies

机译:不同频率下等距振动训练期间肌肉疲劳的肌电疲劳

获取原文

摘要

Resistance exercise is essential to improve or maintain muscle performance. Vibration training has been suggested as an alternative option for muscle conditioning, aiming especially at improving muscle strength and power. Several studies link the effects of vibration training to enhanced neuromuscular stimulation, measured by electromyography (EMG) and typically ascribed to involuntary reflex mechanisms. However, the underlying mechanisms are still unclear, limiting the use of vibration training. This paper proposes additional methods to analyze the mechanisms involved in vibration training. A dedicated measurement setup was realized to relate vibration parameters to muscle fatigue in the biceps brachii. Fatigue is estimated by EMG mean frequency and conduction velocity assessments as well as by maximum voluntary contraction (MVC) force measurements. A modified maximum likelihood algorithm is proposed for the conduction velocity estimation based on high-density EMG recording. Five volunteers performed four isometric contractions of 50 s at 80% MVC with no vibration (control) and with superimposed vibration at 20, 30, and 40 Hz. Fatigue was estimated from the decay of force, EMG mean frequency, and EMG conduction velocity. 30-Hz vibrations represented the most fatiguing stimulus. Our preliminary results also show a better correlation between force and conduction velocity decay than between force and mean frequency decay, indicating the former as a better EMG indicator of fatigue. The proposed methods provide important advancements for the analysis of vibration exercise and guidance towards the definition of optimal training protocols.
机译:抵抗运动对于改善或保持肌肉性能至关重要。振动训练已被建议作为肌肉调理的替代选择,旨在尤其是提高肌肉力量和力量。几项研究将振动训练的影响联系起来增强神经肌肉刺激,通过肌电学(EMG)测量,通常归因于非自愿反射机制。然而,潜在的机制尚不清楚,限制了使用振动训练。本文提出了分析振动训练所涉及的机制的额外方法。实现了专用测量设置,以将振动参数与二头肌Brachii中的肌肉疲劳相关联。通过EMG平均频率和传导速度评估估计疲劳以及最大自愿收缩(MVC)力测量。提出了一种基于高密度EMG记录的传导速度估计来改进的最大似然算法。五个志愿者在80秒的80s处进行了四个等距收缩,没有振动(对照),并且在20,30和40Hz时叠加振动。从衰减的力,EMG平均频率和EMG传导速度估计疲劳。 30-Hz振动表示最疲劳的刺激。我们的初步结果还显示了力和传导速度衰减之间的更好相关性,而不是力和平均频率衰减,表明前者作为疲劳的更好的EMG指示器。该方法提供了对振动运动分析的重要进步,并对最佳培训协议定义的指导。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号