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(P<0.01)。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
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