基于样本熵的睡眠呼吸暂停综合征脑电研究

Electroencephalogram of sleep apnea syndrome based on sample entropy

目的:探讨睡眠呼吸暂停综合征(SAS)患者脑电的动力学特性,为SAS诊治提供依据。方法:基于脑电的非平稳和非线性特性,采用样本熵(Samp En)对6名SAS患者和6名健康人的睡眠脑电进行分析,研究SAS组和对照组在清醒、浅睡、深睡和快速眼动期(REM)的脑电变化及差异特性。结果:SAS患者和健康者睡眠脑电的样本熵变化有相同规律,即随着睡眠加深,其样本熵值均逐渐减小,但到REM期时,样本熵值又上升至觉醒期水平;与此同时,SAS组的样本熵值在各个睡眠阶段均低于健康组,两组间存在显著差异(P<0.01);ROC曲线下面积达到0.858。结论:SAS病理状态对大脑神经活动影响显著,SAS组脑电样本熵值与对照组的显著差异为SAS研究及诊断提供新的方向和依据。

Objective To explore the dynamic properties of electroencephalogram（EEG） of patients with sleep apnea syndrome（SAS） and to provide the basis for the diagnosis and treatment of SAS. Methods Based on EEG＇s non-stationary and nonlinear properties, the sleep EEG of six patients with SAS and six normal persons were analyzed by using sample entropy（Samp En）. The EEG changes and differences between SAS group and control group were studied in awake, light sleep, deep sleep and rapid eye movement（REM） periods. Results The Samp En of sleep EEG in SAS group and control group decreased gradually with the deepening of sleep. In the REM period, the Samp En increased to the awakening level.The Samp En of SAS group in different sleep periods was significantly lower than that of control group（P0.01）. The area under receiver operating characteristic curve was 0.858. Conclusion The pathological state of sleep apnea has a significant impact on the brain＇s neural activity. The significant differences in Samp En between SAS group and control group provide a new direction and basis for the research and diagnosis of SAS.