睡眠呼吸暂停综合征脑电关联维特性研究

发布时间：2018-05-30 05:04

本文选题：睡眠呼吸暂停综合征 + 脑电图　；参考：《生物医学工程学杂志》2017年02期

【摘要】：睡眠呼吸暂停综合征(SAS)是一种常见且危害巨大的全身性睡眠疾病。SAS患者存在明显的脑部结构和功能的影像学改变,而脑电图(EEG)能反映大脑组织的电活动及功能状态,是描述睡眠过程最直观的参数。基于EEG信号的非平稳和非线性特性,本文采用非线性方法对SAS患者睡眠EEG信号的关联维特性进行分析。将6名SAS患者组成SAS组,6名健康人组成对照组。研究结果显示,SAS患者和健康人睡眠EEG信号的关联维变化规律一致,即随着睡眠加深,其关联维均逐渐减小,但到快速眼动期(REM)时,关联维又上升至觉醒和浅睡眠期的水平;与此同时,SAS组的关联维在各个睡眠阶段均低于对照组,两组间存在的差异具有统计学意义(P0.01)。研究结果表明,SAS患者的EEG信号与健康人之间存在明显的非线性动力学差异,这为研究SAS的生理机制及实现SAS的自动检测提供了新的方向。
[Abstract]:Sleep apnea syndrome (SAS) is a common and harmful systemic sleep disease.SAS patient with obvious brain structure and function, and electroencephalogram (EEG) can reflect the electrical activity and functional state of the brain tissue. It is the most intuitive parameter to describe the process of sleep. The non-stationary and nonlinear characteristics of the EEG signal are nonstationary and nonlinear. In this paper, a nonlinear method was used to analyze the correlation dimension of sleep EEG signal in SAS patients. 6 SAS patients were composed of SAS group and 6 healthy people were composed of control group. The results showed that the correlation dimension of sleep EEG signals of SAS patients and healthy people was the same, that is, with the deepening of sleep sleep, the correlation dimension gradually decreased, but to the rapid eye. At the time of REM, the correlation dimension increased to the level of awakening and shallow sleep. At the same time, the correlation dimension of the group SAS was lower than the control group, and the difference between the two groups was statistically significant (P0.01). The results showed that there was a significant nonlinear dynamic difference between the EEG signal of the SAS patients and the healthy people. It is a new direction to study the physiological mechanism of SAS and realize the automatic detection of SAS.
【作者单位】：华南理工大学材料科学与工程学院生物医学工程系;
【基金】：广东省公益研究与能力专项基金资助项目(2014A020212657) 华南理工大学中央高校面上基金资助项目(2015ZM179)
【分类号】：R766;R741.044

【相似文献】