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单通道EOG睡眠分期在一个异质的睡眠障碍对象队列上

Hans van Gorp^1,2, Merel M van Gilst^1,3, Sebastiaan Overeem^1,3

¹Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands.

Physiological measurement

|April 23, 2024

概括

使用单通道电眼学 (EOG) 进行自动睡眠分期,为多睡眠学提供了一个更简单的替代方案. 这项研究表明,在不同睡眠障碍群体中,基于EOG的睡眠阶段可靠.

科学领域:

神经科学是一个神经科学.
生物医学工程生物医学工程
睡眠医学睡眠医学

背景情况:

多睡眠学 (PSG) 是睡眠分期的黄金标准,但成本昂贵且不方便.
使用较少电极的电眼学 (EOG) 进行自动睡眠分期是一种有希望的,不那么侵入性的替代方案.
需要对患有睡眠障碍的患者基于EOG的睡眠分期进行临床验证.

研究的目的:

开发和验证一种新型的神经网络,用于使用单通道EGG的自动睡眠分阶段.
评估基于EOG的睡眠分期在患有各种睡眠障碍的不同临床人群中的表现.
为了比较左与右EOG通道在睡眠分阶段的有效性.

主要方法:

使用了SOMNIA数据集,其中包括来自各种睡眠障碍患者的774条记录.
训练了一个基于U-Net的神经网络,结合了变压器,以捕获EOG和催眠图数据中的时间关系.
在一组测试中使用准确度和科恩的kappa指标评估模型性能.

主要成果:

在5个睡眠阶段中,获得了85.0% (左侧EOG) 和85.2% (右侧EOG) 的中位精度.
获得了0.781 (左边的EOG) 和0.796 (右边的EOG) 的中位数科恩卡帕,表明了实质性的协议.
在各种睡眠障碍中表现出强的表现,受影响个体没有显著的表现下降.

结论:

基于EOG的单通道睡眠分期是各种睡眠障碍患者的可靠和准确的方法.
开发的神经网络模型显示了临床应用的巨大潜力,简化了睡眠障碍的诊断.
由于靠近头皮,右EOG通道的位置可能会提供略高的性能.

关键词:

经济发展组织 (EOG) 是一个经济发展组织.自动睡眠分期自动睡眠分期电脑眼镜摄影 (electrooculography) 是一种电脑眼镜的使用方法.睡眠障碍睡眠障碍睡眠障碍

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