基于α频率光诱发的脑电（EEG）特性研究

发布时间：2018-07-04 23:20

本文选题：脑电α波 + 闪光刺激　；参考：《南京航空航天大学》2012年硕士论文

【摘要】：随着现代人们生活节奏的日益加快，高压力、紧张情绪、睡眠障碍引起了大脑认知功能的下降，从而影响了人们的正常学习、工作，生活。不同的脑电信号反映了大脑的功能状态，其中，脑电α波是成年人在安静、觉醒状态下的主要活动节奏，标志着人体进入“放松性警觉”状态，主观感觉舒适、放松和注意力集中。因此，大量研究致力于寻找强化或诱发受试者脑电α波的脑功能治疗技术，，其中外部闪光刺激由于简易、无创、低成本等特点，被广泛运用于脑电α波的强化。本文从脑电信号对外部刺激的“节律同步化”效应原理出发，通过对实验所得脑电信号的系统分析，研究外部α频率光诱发下的脑电特性变化，实现脑电“节律同步化”效应的验证和量化分析，从而为外部光诱发技术改善人脑功能状态提供理论依据和量化指标。本文主要研究内容与创新点如下： (1)研究了脑电信号中的伪迹信号特点，并利用Fast ICA盲源分离算法，实现实验所得脑电信号的眼动伪迹分离。 (2)利用小波与小波包理论，实现脑电信号节律波的提取，并分析α频率光刺激后的各种脑电节律波的功率谱变化，实现光诱发下脑电节律波的线性特征分析。 (3)利用Lempel-Ziv复杂度算法，研究外部光刺激下脑电α波的非线性特征变化。 (4)利用互信息算法，研究外部光刺激下，不同脑区之间的脑电α波的功能连接。
[Abstract]:With the increasing pace of modern people's life, high stress, tension, sleep disorders have caused a decline in cognitive function of the brain, thus affecting people's normal learning, work, life. Different EEG signals reflect the functional state of the brain. Among them, EEG alpha waves are the main rhythm of activity of adults in a quiet and awakened state, indicating that the human body is in a state of "relaxed alertness" and feels comfortable subjectively. Relax and focus. Therefore, a great deal of research is devoted to finding the brain function therapy technology which can enhance or induce 伪 wave of EEG in the subjects. The external flash stimulation is widely used in the enhancement of 伪 wave because of its simple, noninvasive and low cost characteristics. Based on the principle of rhythmic synchronization of EEG signals to external stimuli, the changes of EEG characteristics induced by external alpha frequency light are studied through systematic analysis of the EEG signals obtained from experiments. The purpose of this paper is to verify and analyze the rhythmic synchronization effect of EEG, and to provide theoretical basis and quantitative index for the improvement of human brain function by external light-induced technology. The main contents and innovations of this paper are as follows: (1) the characteristics of artifacts in EEG signals are studied, and Fast ICA blind source separation algorithm is used. The eye movement artifact is separated from the experimental EEG signal. (2) using wavelet and wavelet packet theory, the rhythmic wave of EEG is extracted, and the changes of power spectrum of various EEG rhythms after 伪 -frequency light stimulation are analyzed. The linear characteristic analysis of EEG rhythm wave induced by light is realized. (3) using Lempel-Ziv complexity algorithm, the nonlinear characteristic changes of EEG 伪 wave under external light stimulation are studied. (4) the mutual information algorithm is used to study the nonlinear characteristics of 伪 wave under external light stimulation. Functional connections of 伪-wave between different brain regions.
【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】：2012
【分类号】：R318.0

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