首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >Motor unit synchronization during fatigue: Described with a novel sEMG method based on large motor unit samples
【24h】

Motor unit synchronization during fatigue: Described with a novel sEMG method based on large motor unit samples

机译:疲劳过程中的电机单元同步:描述了基于大型电机单元样本的新型sEMG方法

获取原文
获取原文并翻译 | 示例
           

摘要

The amount of documented increase in motor unit (MU) synchronization with fatigue and its possible relation with force tremor varies largely, possibly due to inhomogeneous muscle activation and methodological discrepancies and limitations. The aim of this study was to apply a novel surface electromyographical (EMG) descriptor for MU synchronization based on large MU populations to examine changes in MU synchronization with fatigue at different sites of a muscle and its relation to tremor. Twenty-four subjects performed an isometric elbow flexion at 25% of maximal voluntary contraction until exhaustion. Monopolar EMG signals were recorded using a grid of 130 electrodes above the biceps brachii. Changes in MU synchronization were estimated based on the sub-band skewness of EMG signals and tremor by the coefficient of variation in force. The synchronization descriptor was dependent on recording site and increased with fatigue together with tremor. There was a general association between these two parameters, but not between their fluctuations. These results are in agreement with other surface EMG studies and indicate that the novel descriptor can be used to attain information of synchronization between large MU populations during fatigue that cannot be retrieved with intra-muscular EMG.
机译:运动单元(MU)与疲劳同步及其与力震颤的可能关系的增加的文献记载的数量变化很大,这可能是由于肌肉激活不均以及方法上的差异和局限性造成的。这项研究的目的是基于大的MU人群应用一种新型的表面肌电图(EMG)描述符用于MU同步,以检查MU同步与肌肉不同部位疲劳的变化及其与震颤的关系。 24名受试者进行了等距屈肘,直到最大程度的自愿收缩的25%为止。使用肱二头肌上方130个电极的网格记录单极EMG信号。根据EMG信号的子带偏度和震颤(通过力的变化系数),估计MU同步的变化。同步描述符取决于记录部位,并随着疲劳和震颤而增加。这两个参数之间存在一般关联,但其波动之间没有关联。这些结果与其他表面肌电图研究一致,表明该新型描述符可用于获得肌肉运动肌电图无法恢复的疲劳期间大MU人群之间的同步信息。

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