...
【24h】

Time-frequency methods applied to muscle fatigue assessment during dynamic contractions.

机译:时频方法应用于动态收缩期间的肌肉疲劳评估。

获取原文
获取原文并翻译 | 示例
           

摘要

This paper discusses the assessment of the electrical manifestations of muscle fatigue during dynamic contractions. In the past, the study of muscle fatigue was restricted to isometric constant force contractions because, in this contraction paradigm, the myoelectric signal may be considered as wide sense stationary over epochs lasting up to two or three seconds, and hence classic spectral estimation techniques may be applied. Recently, the availability of spectral estimation techniques specifically designed for nonstationary signal analysis made it possible to extend the employment of muscle fatigue assessment to cyclic dynamic contractions, thus increasing noticeably its possible clinical applications. After presenting the basics of time-frequency distributions, we introduce instantaneous spectral parameters well suited to tracking spectral changes due to muscle fatigue, discuss the issues of quasi-stationarity and quasi-cyclostationarity, and present different strategies of signal analysis to be utilized with cyclic dynamic contractions. We present preliminary results obtained by analyzing data collected from paraspinal muscles during repetitive lift movements, from the first dorsal interosseus during abduction-adduction movements of the index finger, and from knee flexors and extensors during isokinetic exercise. In conclusion, data herein reported demonstrate that the described techniques allow for evidencing the electrical manifestations of muscle fatigue in different paradigms of cyclic dynamic contractions. We believe that the extension of the objective assessment of the electrical manifestations of muscle fatigue from static to dynamic contractions may increase considerably the interest of researchers and clinicians and open new application fields, as ergonomics and sports medicine.
机译:本文讨论了动态收缩过程中肌肉疲劳的电表现的评估。过去,对肌肉疲劳的研究仅限于等距恒力收缩,因为在这种收缩范例中,肌电信号在持续长达两到三秒钟的时期内可被认为是广义的平稳信号,因此经典的频谱估计技术可能被应用。最近,专门为非平稳信号分析而设计的频谱估计技术的可用性使将肌肉疲劳评估的应用范围扩展到周期性动态收缩成为可能,从而显着增加了其可能的临床应用。在介绍了时频分布的基本知识之后,我们介绍了非常适合跟踪由肌肉疲劳引起的频谱变化的瞬时频谱参数,讨论了准平稳性和准循环平稳性的问题,并提出了用于循环的不同信号分析策略动态收缩。我们目前的初步结果是通过分析在反复举升运动过程中从脊柱旁肌肉,食指的外展-内收运动过程中的第一背骨间骨以及等速运动过程中的膝关节屈肌和伸肌收集的数据获得的。总之,本文报道的数据证明,所描述的技术允许在周期性动态收缩的不同范例中证明肌肉疲劳的电表现。我们认为,将肌肉疲劳的电气表现的客观评估从静态收缩扩展到动态收缩,可能会大大增加研究人员和临床医生的兴趣,并开辟新的应用领域,如人体工程学和运动医学。

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