基于EEG的光誘發(fā)睡眠響應(yīng)特性的研究
發(fā)布時間：2019-05-14 17:40
【摘要】：睡眠是一種重要的生理過程,睡眠質(zhì)量與人們身心健康息息相關(guān),但隨著社會的快速發(fā)展,生活節(jié)奏的加快,睡眠障礙已成為了困擾很多人的社會難題。睡眠過程中,大腦細(xì)胞發(fā)生一系列的生理變化,腦電波作為大腦皮層神經(jīng)元放電的總和,反映大腦的活動,可以作為睡眠質(zhì)量的評估指標(biāo)。通過外部物理刺激,誘發(fā)腦電波的同步響應(yīng),幫助睡眠障礙患者改善并提高睡眠已成為當(dāng)今一個技術(shù)研究熱點。本文旨在通過EEG技術(shù),分別從能量、復(fù)雜度和復(fù)雜網(wǎng)絡(luò)的角度觀察光誘發(fā)睡眠狀態(tài)下的腦電特征,為探索誘發(fā)睡眠中大腦生理機(jī)制提供指導(dǎo)。論文的主要研究內(nèi)容如下:(1)使用美國neuroscan型腦電圖儀采集志愿者睡眠狀態(tài)下的腦電信號,并采用時頻分析和小波包分解算法對睡眠腦電進(jìn)行分期以及提取睡眠的特征腦電波,為腦電參數(shù)分析提供前提條件。(2)采用經(jīng)典的線性分析方法,以腦電波能量作為睡眠狀態(tài)的評估指標(biāo),計算睡眠各個時期下特征腦電波的能量,通過與正常睡眠對比來研究光誘發(fā)睡眠下腦電波能量響應(yīng)特征,結(jié)果發(fā)現(xiàn),光誘發(fā)睡眠中,?波和?波能量在大腦頂區(qū)和中央?yún)^(qū)顯著增強(qiáng)。(3)引入非線性動力學(xué)方法,對腦電信號做復(fù)雜度分析,將腦電的復(fù)雜度值作為睡眠狀態(tài)的評估參數(shù),對比分析光誘發(fā)睡眠和正常睡眠下腦電復(fù)雜度變化,發(fā)現(xiàn)光誘發(fā)睡眠過程中,睡眠S1期中腦電復(fù)雜度值低于正常睡眠,其中?波段同樣具有該特征。(4)腦電作為一種混沌信號,依據(jù)嵌入理論還原腦電信號的系統(tǒng)特性,并通過相關(guān)性分析構(gòu)建腦電復(fù)雜網(wǎng)絡(luò),通過鄰接矩陣和圖論的方式定性地分析光誘發(fā)睡眠與正常睡眠的腦電網(wǎng)絡(luò)差異,以及通過網(wǎng)絡(luò)參數(shù)來定量地研究光誘發(fā)睡眠下腦電響應(yīng)特性,發(fā)現(xiàn)相對于正常睡,在光誘發(fā)睡眠S1期和SWS期中,眠腦電網(wǎng)絡(luò)密度較小,網(wǎng)絡(luò)的集團(tuán)特性和連通性較弱。
[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.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R740
本文編號：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.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：R740
【相似文獻(xiàn)】
相關(guān)期刊論文 前3條
1 袁全,劉興華,李大琛,王海荔,劉玉盛;噪聲和音樂對腦電功率譜的影響[J];航天醫(yī)學(xué)與醫(yī)學(xué)工程;2000年06期
2 萬柏坤,付小萌,楊春梅,綦宏志;老年癡呆腦電能譜分布特征[J];天津大學(xué)學(xué)報;2004年12期
3 ;[J];;年期
相關(guān)碩士學(xué)位論文 前1條
1 周暉;基于EEG的光誘發(fā)睡眠響應(yīng)特性的研究[D];南京航空航天大學(xué);2015年
，本文編號：2476912
本文鏈接：http://sikaile.net/huliyixuelunwen/2476912.html
最近更新
教材專著
