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首页> 外文期刊>Journal of medical systems >Time frequency based coherence analysis between EEG and EMG activities in fatigue duration.
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Time frequency based coherence analysis between EEG and EMG activities in fatigue duration.

机译:基于时间频率的疲劳持续时间中脑电图和肌电图活动之间的一致性分析。

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摘要

In voluntary movements, functional role of synchronized neuronal activity in the human motor system is important to detect and diagnose of the some diseases. In some previous studies, EEG signals and responses belong to an exercise are examined and an increased EEG activity reported in alpha frequency band. The reason of this is not clear whether a change is a direct result of the exhaustion or whether it is an adaptation. Time frequency based coherence analysis may be excellent tools to asses the fatigue stages. The experiment was planned with three fatigue stage and the cortical-muscular synchronizations were observed and examined. Simultaneously cortical electroencephalography (EEG) activities and electromyography (EMG) activities that are activated by phasic voluntary movements are recorded for 10 healthy young person and relation of the coherence between the signals are observed in time frequency domain. There is a decreasing significant coherence activity in third fatigue stage against to first and second fatigue stages. Time frequency based coherence analysis is a good method to explore motor cortex control of muscle activity in the fatigued persons. Time frequency based coherence analysis gives useful result for recordings of simultaneously cortical activity EEG and EMG during a phasic voluntary movement to determination of fatigue levels.
机译:在自愿运动中,同步神经元活动在人体运动系统中的功能作用对于检测和诊断某些疾病很重要。在以前的一些研究中,检查了属于一项运动的EEG信号和反应,并在α频段报告了EEG活性增加。原因尚不清楚,变化是穷竭的直接结果还是适应。基于时间频率的相干分析可能是评估疲劳阶段的绝佳工具。实验计划为三个疲劳阶段,并观察和检查皮层-肌肉的同步性。同时记录了针对10名健康年轻人的由阶段性自愿运动激活的皮质脑电图(EEG)活动和肌电图(EMG)活动,并在时频域中观察了信号之间的相干关系。在第三疲劳阶段相对于第一疲劳阶段和第二疲劳阶段,显着的相干活动降低。基于时频的相干分析是探索运动皮层控制疲劳者肌肉活动的好方法。基于时间频率的相干性分析可提供有用的结果,用于在进行阶段性自愿运动以确定疲劳水平时同时记录皮层活动EEG和EMG。

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