...
首页> 外文期刊>Journal of biomechanical engineering. >Predictions of mechanical output of the human M. triceps surae on the basis of electromyographic signals: the role of stimulation dynamics.
【24h】

Predictions of mechanical output of the human M. triceps surae on the basis of electromyographic signals: the role of stimulation dynamics.

机译:基于肌电信号预测人类肱三头肌的机械输出:刺激动力学的作用。

获取原文
获取原文并翻译 | 示例

摘要

In order to assess the significance of the dynamics of neural control signals for the rise time of muscle moment, simulations of isometric and dynamic plantar flexion contractions were performed using electromyographic signals (EMG signals) of m. triceps surae as input. When excitation dynamics of the muscle model was optimized for an M-wave of the medial head of m. gastrocnemius (GM), the model was able to make reasonable predictions of the rise time of muscle moment during voluntary isometric plantar flexion contractions on the basis of voluntary GM EMG signals. The rise time of muscle moment in the model was for the greater part determined by the amplitude of the first EMG burst. For dynamic jumplike movements of the ankle joint, however, no relationship between rise time of muscle moment in the experiment and muscle moment predicted by the model on the basis of GM EMG signals was found. Since rise time of muscle moment varied over a small range for this movement, it cannot be completely excluded that stimulation dynamics plays a role in control of these simple single-joint movements.
机译:为了评估神经控制信号动力学对肌肉力矩上升时间的重要性,使用m的肌电信号(EMG信号)进行了等距和动态足底屈曲收缩的模拟。肱三头肌作为输入。当针对m内侧头的M波优化了肌肉模型的激励动力学时。腓肠肌(GM),该模型能够根据自愿GM EMG信号合理预测等距足底屈曲收缩期间肌肉力矩的上升时间。在模型中,肌肉力矩的上升时间在很大程度上取决于第一个EMG爆发的幅度。但是,对于踝关节的动态跳跃状运动,没有发现实验中肌肉力矩的上升时间与模型基于GM EMG信号预测的肌肉力矩之间的关系。由于该运动的肌肉力矩的上升时间在很小的范围内变化,因此不能完全排除刺激动力学在控制这些简单的单关节运动中的作用。

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