基于EEG的光诱发睡眠响应特性的研究
发布时间：2019-05-14 17:40
【摘要】：睡眠是一种重要的生理过程,睡眠质量与人们身心健康息息相关,但随着社会的快速发展,生活节奏的加快,睡眠障碍已成为了困扰很多人的社会难题。睡眠过程中,大脑细胞发生一系列的生理变化,脑电波作为大脑皮层神经元放电的总和,反映大脑的活动,可以作为睡眠质量的评估指标。通过外部物理刺激,诱发脑电波的同步响应,帮助睡眠障碍患者改善并提高睡眠已成为当今一个技术研究热点。本文旨在通过EEG技术,分别从能量、复杂度和复杂网络的角度观察光诱发睡眠状态下的脑电特征,为探索诱发睡眠中大脑生理机制提供指导。论文的主要研究内容如下:(1)使用美国neuroscan型脑电图仪采集志愿者睡眠状态下的脑电信号,并采用时频分析和小波包分解算法对睡眠脑电进行分期以及提取睡眠的特征脑电波,为脑电参数分析提供前提条件。(2)采用经典的线性分析方法,以脑电波能量作为睡眠状态的评估指标,计算睡眠各个时期下特征脑电波的能量,通过与正常睡眠对比来研究光诱发睡眠下脑电波能量响应特征,结果发现,光诱发睡眠中,?波和?波能量在大脑顶区和中央区显著增强。(3)引入非线性动力学方法,对脑电信号做复杂度分析,将脑电的复杂度值作为睡眠状态的评估参数,对比分析光诱发睡眠和正常睡眠下脑电复杂度变化,发现光诱发睡眠过程中,睡眠S1期中脑电复杂度值低于正常睡眠,其中?波段同样具有该特征。(4)脑电作为一种混沌信号,依据嵌入理论还原脑电信号的系统特性,并通过相关性分析构建脑电复杂网络,通过邻接矩阵和图论的方式定性地分析光诱发睡眠与正常睡眠的脑电网络差异,以及通过网络参数来定量地研究光诱发睡眠下脑电响应特性,发现相对于正常睡,在光诱发睡眠S1期和SWS期中,眠脑电网络密度较小,网络的集团特性和连通性较弱。
[Abstract]:Sleep is an important physiological process, sleep quality is closely related to people's physical and mental health, but with the rapid development of society and the acceleration of the pace of life, sleep disorder has become a social problem that puzzles many people. During sleep, a series of physiological changes take place in brain cells. Brain waves, as the sum of neurons in the cerebral cortex, reflect the activity of the brain and can be used as an index to evaluate the quality of sleep. It has become a hot research topic to induce synchronous response of brain waves through external physical stimulation to help patients with sleep disorder improve and improve sleep. The purpose of this paper is to observe the EEG characteristics of light-induced sleep from the point of view of energy, complexity and complex network by EEG technique, so as to provide guidance for exploring the physiological mechanism of brain induced sleep. The main contents of this paper are as follows: (1) the EEG signals of volunteers during sleep were collected by American neuroscan electroencephalogram (EEG). Time-frequency analysis and wavelet packet decomposition algorithm are used to stage sleep EEG and extract sleep characteristic brain waves, which provides a prerequisite for EEG parameter analysis. (2) the classical linear analysis method is used. The energy of brain waves was used as the evaluation index of sleep state, and the energy of characteristic brain waves in each period of sleep was calculated. The energy response characteristics of brain waves under light-induced sleep were studied by comparing with normal sleep. The results showed that in light-induced sleep, the energy response of brain waves under light-induced sleep was compared with that of normal sleep. Bo and? Wave energy is significantly enhanced in the parietal and central regions of the brain. (3) nonlinear dynamics method is introduced to analyze the complexity of EEG signals, and the complexity of EEG is used as the evaluation parameter of sleep state. The changes of EEG complexity between light-induced sleep and normal sleep were compared and analyzed. It was found that the EEG complexity in sleep S1 phase was lower than that in normal sleep. The band also has this characteristic. (4) EEG, as a chaotic signal, restores the system characteristics of EEG signal according to the embedding theory, and constructs the complex network of EEG by correlation analysis. The difference of EEG network between light-induced sleep and normal sleep was analyzed qualitatively by adjacent matrix and graph theory, and the EEG response characteristics under light-induced sleep were quantitatively studied by network parameters, and it was found that compared with normal sleep, In light-induced sleep stage S1 and SSS, the density of sleeping EEG network is small, and the cluster characteristics and connectivity of the network are weak.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R740
本文编号：2476912
[Abstract]:Sleep is an important physiological process, sleep quality is closely related to people's physical and mental health, but with the rapid development of society and the acceleration of the pace of life, sleep disorder has become a social problem that puzzles many people. During sleep, a series of physiological changes take place in brain cells. Brain waves, as the sum of neurons in the cerebral cortex, reflect the activity of the brain and can be used as an index to evaluate the quality of sleep. It has become a hot research topic to induce synchronous response of brain waves through external physical stimulation to help patients with sleep disorder improve and improve sleep. The purpose of this paper is to observe the EEG characteristics of light-induced sleep from the point of view of energy, complexity and complex network by EEG technique, so as to provide guidance for exploring the physiological mechanism of brain induced sleep. The main contents of this paper are as follows: (1) the EEG signals of volunteers during sleep were collected by American neuroscan electroencephalogram (EEG). Time-frequency analysis and wavelet packet decomposition algorithm are used to stage sleep EEG and extract sleep characteristic brain waves, which provides a prerequisite for EEG parameter analysis. (2) the classical linear analysis method is used. The energy of brain waves was used as the evaluation index of sleep state, and the energy of characteristic brain waves in each period of sleep was calculated. The energy response characteristics of brain waves under light-induced sleep were studied by comparing with normal sleep. The results showed that in light-induced sleep, the energy response of brain waves under light-induced sleep was compared with that of normal sleep. Bo and? Wave energy is significantly enhanced in the parietal and central regions of the brain. (3) nonlinear dynamics method is introduced to analyze the complexity of EEG signals, and the complexity of EEG is used as the evaluation parameter of sleep state. The changes of EEG complexity between light-induced sleep and normal sleep were compared and analyzed. It was found that the EEG complexity in sleep S1 phase was lower than that in normal sleep. The band also has this characteristic. (4) EEG, as a chaotic signal, restores the system characteristics of EEG signal according to the embedding theory, and constructs the complex network of EEG by correlation analysis. The difference of EEG network between light-induced sleep and normal sleep was analyzed qualitatively by adjacent matrix and graph theory, and the EEG response characteristics under light-induced sleep were quantitatively studied by network parameters, and it was found that compared with normal sleep, In light-induced sleep stage S1 and SSS, the density of sleeping EEG network is small, and the cluster characteristics and connectivity of the network are weak.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R740
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