睡眠剥夺下警觉度变化的非线性研究

发布时间：2018-05-06 05:14

本文选题：警觉度 + 睡眠剥夺　；参考：《生物医学工程学杂志》2014年03期

【摘要】：本文采用Lempel-Zin复杂度与脑电地形图(BEAM)相结合的方法研究睡眠剥夺(SD)下警觉度的变化过程。10名受试者进行了36h的SD,并且每6h进行了自发和Oddball听觉诱发实验,记录了自发脑电(EEG)和诱发EEG,构建了基于复杂度的脑电地形趋势图。结果表明,36hSD中,警觉度可以分为三个阶段:前12h为警觉度较高的阶段,中间12h为警觉度快速下降的阶段,最后12h为警觉度较低的阶段。在SD过程中,自发EEG的复杂度在全脑范围内有不同程度的下降,与主观量表的趋势相符;诱发EEG的额叶复杂度降低,其趋势与行为学结果相符。所以,EEG复杂度可以有效地反映大脑警觉度的变化,且复杂度计算简单、运算速度快,为以后应用于警觉度的实时监测提供了新的途径。
[Abstract]:In this paper, the Lempel-Zin complexity and brain electrical activity map (beam) were used to study the course of sleep deprivation under SD.10 subjects were given SD36 h, and spontaneous and Oddball auditory evoked experiments were conducted every 6 h. Spontaneous EEG (EGG) and evoked EGG were recorded, and a complex EEG topographic trend map was constructed. The results showed that the alertness could be divided into three stages in 36hSD: the first 12h was the stage of high alertness, the middle 12h was the stage of rapid decrease of alertness, and the last 12h was the stage of low alertness. In the course of SD, the complexity of spontaneous EEG decreased in different degree in the whole brain, which was consistent with the trend of subjective scale, and the complexity of prefrontal lobe of induced EEG decreased, which was consistent with the behavioral results. Therefore, EEG complexity can effectively reflect the changes of brain alertness, and the complexity calculation is simple, and the calculation speed is fast, which provides a new way for real-time monitoring of alertness in the future.
【作者单位】：天津大学精密仪器与光电子工程学院;北京军区天津疗养院;
【基金】：国家自然科学基金资助项目(51007063,31271062,51377120,81222021,61172008,81171423) 国家科技支撑计划资助项目(2012BAI34B02) 教育部新世纪优秀人才支持计划项目资助(NCET-10-0618)
【分类号】：TN911.7

【参考文献】