School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.
IEEE Trans Biomed Eng. 2010 Dec;57(12):2947-55. doi: 10.1109/TBME.2010.2060197. Epub 2010 Jul 26.
Obstructive sleep apnea (OSA) hypopnea syndrome is a disorder characterized by airway obstructions during sleep; full obstructions are known as apnea and partial obstructions are called hypopnea. Sleep in OSA patients is significantly disturbed with frequent apnea/hypopnea and arousal events. We illustrate that these events lead to functional asymmetry of the brain as manifested by the interhemispheric asynchrony (IHA) computed using EEG recorded on the scalp. In this paper, based on the higher order spectra of IHA time series, we propose a new index [interhemispheric synchrony index (IHSI)], for characterizing brain asynchrony in OSA. The IHSI computation does not depend on subjective criteria and can be completely automated. The proposed method was evaluated on overnight EEG data from a clinical database of 36 subjects referred to a hospital sleep laboratory. Our results indicated that the IHSI could classify the patients into OSA/non-OSA classes with an accuracy of 91% (ρ = 0.0001), at the respiratory disturbance index threshold of 10, suggesting that the brain asynchrony carries vital information on OSA.
阻塞性睡眠呼吸暂停（OSA）低通气综合征是一种以睡眠期间气道阻塞为特征的疾病；完全阻塞称为呼吸暂停，部分阻塞称为低通气。OSA 患者的睡眠受到严重干扰，经常出现呼吸暂停/低通气和觉醒事件。我们表明，这些事件导致大脑的功能不对称，这表现在头皮记录的 EEG 计算的脑半球间异步（IHA）中。在本文中，基于 IHA 时间序列的高阶谱，我们提出了一个新的指标[脑半球间同步指数（IHSI）]，用于描述 OSA 中的脑同步。IHSI 计算不依赖于主观标准，可以完全自动化。该方法在来自医院睡眠实验室的 36 名患者的临床数据库的一整夜 EEG 数据上进行了评估。我们的结果表明，IHSI 可以在呼吸干扰指数阈值为 10 时，以 91%的准确率（ρ=0.0001）将患者分为 OSA/非 OSA 类别，这表明脑同步携带有关 OSA 的重要信息。
