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Lempel-Ziv complexity changes and physiological mental fatigue level during different mental fatigue state with spontaneous EEG

机译:自发性脑电图在不同精神疲劳状态下Lempel-Ziv复杂性变化和生理性精神疲劳水平

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The objective was to study changes in EEG time-domain Kolmogorov complexity under different mental fatigue state and to evaluate mental fatigue using Lempel-Ziv complexity analysis of spontaneous EEG in healthy human subjects. EEG data for healthy subjects were acquired using a net of 2 electrodes (Fp1 and Fp2) at PM 4:00, AM 12:00 and AM 3:00 in the 24 hours sleep-deprived mental fatigue experiments. It was presented that initial results for eight subjects examined in three different mental fa-tigue state with 2-channel EEG time-domain Lempel-Ziv complexity computations. It was found that the value of mean Lempel-Ziv com-plexity corresponding to a special mental state fluctuates within the special range and the value of C(n) increases with mental fatigue increasing for the total frequency spectrum. The result in-dicates that the value of C(n) is strongly cor-relative with the mental fatigue state. These re-sults suggest that it may be possible to nonin-vasively differentiate different mental fatigue level according to the value of C(n) for particular mental state from scalp spontaneous EEG data. This method may be useful in further research and efforts to evaluate mental fatigue level ob-jectively. It may also provide a basis for the study of effects of mental fatigue on central neural system.
机译:目的是研究健康人的自发性脑电图在不同精神疲劳状态下脑电图时域Kolmogorov复杂性的变化,并通过Lempel-Ziv复杂性分析评估精神疲劳。在24小时睡眠剥夺的精神疲劳实验中,使用2个电极网(Fp1和Fp2)在下午4:00,上午12:00和上午3:00采集了健康受试者的脑电数据。提出的初步结果是,在2种EEG时域Lempel-Ziv复杂度计算下,在三种不同的精神疲劳状态下检查的八名受试者的初步结果。结果发现,对应于特定心理状态的平均Lempel-Ziv复杂度值在特定范围内波动,并且C(n)值随着整个频谱的精神疲劳增加而增加。结果表明,C(n)的值与精神疲劳状态密切相关。这些结果表明,有可能根据头皮自发性EEG数据根据特定精神状态的C(n)值非侵入性地区分不同的精神疲劳水平。该方法可能在进一步研究和客观评估精神疲劳水平方面有用。它也可以为研究精神疲劳对中枢神经系统的影响提供基础。

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