...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Science China Life Sciences >A simulation study on the relation between muscle motor unit numbers and the non-Gaussianityon-linearity levels of surface electromyography
【24h】

A simulation study on the relation between muscle motor unit numbers and the non-Gaussianityon-linearity levels of surface electromyography

机译：肌肉运动单位数与表面肌电图非高斯/非线性水平之间关系的模拟研究

获取原文
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recent research has demonstrated that surface electromyography (sEMG) signals have non-Gaussianity and non-linearity properties. It is known that more muscle motor units are recruited and firing rates (FRs) increase as exertion increases. A hypothesis was proposed that the Gaussianity test ( S g) and linearity test ( S ?) levels of sEMG signals are associated with the number of active motor units (nMUs) and the FR. The hypothesis has only been preliminarily discussed in experimental studies. We used a simulation sEMG model involving spatial (active MUs) and temporal (three FRs) information to test the hypothesis. Higher-order statistics (HOS) from the bi-frequency domain were used to perform S g and S ?. Multivariate covariance analysis and a correlation test were employed to determine the nMUs- S g relationship and the nMUs- S ? relationship. Results showed that nMUs, the FR, and the interaction of nMUs and the FR all influenced the S g and S ? values. The nMUs negatively correlated to both the S g and S ? values. That is, at the three FRs, sEMG signals tended to a more Gaussian and linear distribution as exertion and nMUs increased. The study limited experiment factors to the sEMG non-Gaussianity and non-linearity levels. The study quantitatively described nMUs and the FR of muscle that are not directly available from experiments. Our finding has guiding significance for muscle capability assessment and prosthetic control.
机译：最近的研究表明，表面肌电图（sEMG）信号具有非高斯和非线性特性。众所周知，随着运动的增加，会招募更多的肌肉运动单位，并且发动率（FRs）也会增加。提出了一个假设，即高斯检验（S g ）和线性检验（S ？ sEMG信号的电平与有效电机单元（nMU）的数量和FR相关。该假设只是在实验研究中进行了初步讨论。我们使用了包含空间（活动MU）和时间（三个FR）信息的模拟sEMG模型来检验假设。来自双频域的高阶统计量（HOS）用于执行S g 和S ？ 。采用多元协方差分析和相关检验确定nMUs-S g关系和nMUs-S ？关系。结果表明，nMU，FR和nMU与FR的相互作用均影响S g 和S ？值。 nMU与S g 和S ？值均负相关。也就是说，在三个FR处，随着运动和nMU的增加，sEMG信号趋于更呈高斯分布和线性分布。该研究将实验因素限制在sEMG的非高斯和非线性水平上。该研究定量描述了不能从实验中直接获得的肌肉nMU和FR。我们的发现对肌肉能力评估和假体控制具有指导意义。

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