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Studies in human elbow muscle eccentric and concentric contractions.

机译:研究人体肘部肌肉的偏心和同心收缩。

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摘要

There were three studies in this thesis. The first two involved Electroencephalogram (EEG) studies in human elbow flexor muscle eccentric and concentric contractions, and the third focused on muscular artifact reduction from EEG recordings.; In study I, experiments involving human voluntary eccentric and concentric elbow flexor contractions against a load were conducted. Surface EEG signals from four scalp locations overlying sensorimotor-related cortical areas in the frontal and parietal lobes were measured along with kinetic and kinematic information from the muscles and joints. The greater cortical signal for eccentric muscle actions suggests that the brain probably plans and programs eccentric movements differently from concentric muscle tasks.; In study II, an experiment similar with study I was performed on a Kin-Com machine, but under maximal voluntary contraction (MVC) condition. A 64-channel EEG measurement system was used to derive more detailed movement-related cortical potential (MRCP). Brain activities from different cortical areas were revealed by topographical maps of multi-channel MRCP. The results of study II was consistent with those of study I.; In study III, a new method for attenuating muscular artifact from EEG recordings was developed. The method proposed was based on the consideration that it is possible to differentiate statistically between random and correlated activities between the EMG and EEG signals. The results suggested that this new method is more effective in reducing EMG artifacts than traditional filtering methods.
机译:本文共进行了三项研究。前两个涉及脑电图(EEG)研究人的肘屈肌偏心和同心收缩,第三个研究重点是从EEG记录中减少肌肉伪影。在研究I中,进行了涉及人类对负荷的自愿性偏心和同心肘屈肌收缩的实验。测量来自额叶和顶叶中与感觉运动相关的皮质区域上的四个头皮位置的表面脑电信号,以及来自肌肉和关节的动力学和运动学信息。偏心肌肉动作的更大皮质信号表明,大脑计划和编程的偏心运动与同心肌肉任务不同。在研究II中,在Kin-Com机器上进行了与研究I类似的实验,但条件是最大自愿收缩(MVC)。使用64通道脑电图测量系统得出更详细的运动相关皮层电位(MRCP)。多通道MRCP的地形图揭示了来自不同皮质区域的大脑活动。研究II的结果与研究I一致。在研究III中,开发了一种从EEG记录中减轻肌肉伪影的新方法。提出的方法基于以下考虑:可以在统计学上区分EMG和EEG信号之间的随机活动和相关活动。结果表明,该新方法比传统的滤波方法在减少EMG伪影方面更有效。

著录项

  • 作者

    Fang, Yin.;

  • 作者单位

    Cleveland State University.;

  • 授予单位 Cleveland State University.;
  • 学科 Engineering Biomedical.; Biology Animal Physiology.
  • 学位 D.Eng.
  • 年度 2002
  • 页码 p.2915
  • 总页数 190
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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