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基于深度学习的自动诊断阻塞性睡眠呼吸暂停和儿童的睡眠阶段分类,使用毫米波雷达和脉冲氧计

Wei Wang¹, Ruobing Song², Yunxiao Wu³

¹Department of Electronic Engineering, Tsinghua University, Beijing, China.

|July 30, 2025

概括

该QSA600雷达设备显示高一致性与多睡眠学诊断儿童阻塞性睡眠呼吸暂停和睡眠阶段. 这种便携式,低负荷的技术为儿科睡眠监测提供了一个简化的替代方案.

科学领域:

儿科睡眠医学儿科睡眠医学
医疗器械技术医疗器械技术
诊断准确性研究诊断准确性研究

背景情况:

多睡眠学 (PSG) 是诊断儿童睡眠障碍的黄金标准,但成本昂贵且复杂.
一种简化,基于雷达的监测设备QSA600已被开发为儿童睡眠评估的替代方案.
评估QSA600和PSG之间的协议对于其临床采用至关重要.

研究的目的:

评估QSA600设备的诊断准确性,与儿童阻塞性睡眠呼吸暂停 (OSA) 的多睡眠学相比.
为了评估QSA600在儿科睡眠分期中的表现,与手动PSG评分对比.
确定QSA600作为儿童睡眠监测的简化工具的适用性.

主要方法:

一项涉及281名儿童 (1-18岁) 的诊断准确性研究,这些儿童同时接受了PSG和QSA600监测.
使用自动化深度学习模型分析了QSA600数据.
专家手动评分PSG数据,作为参考标准.

主要成果:

在QSA600和PSG之间,对于阻塞性呼吸暂停-呼吸暂停指数 (OAHI) 的高达成一致,ICC为0.945.
深度学习模型在各种OAHI值 (例如,>5,>10) 诊断OSA时表现出良好的灵敏度和特异性.
在睡眠阶段分类中表现出色,卡帕系数高达0.854,不同阶段复杂度的准确率高达95.0%.

结论:

QSA600雷达设备与多睡眠学具有很高的一致性,用于诊断OSA和分期儿童的睡眠.
该设备的便携性和低负荷性质使其适合用于随访和长期儿科睡眠评估.
QSA600为儿童睡眠监测提供了一个有希望的,简化的替代传统的多睡眠学.

关键词:

孩子孩子孩子孩子深度学习是一种深度学习.毫米波雷达是一种毫米波雷达.阻塞性睡眠呼吸暂停症是什么多重睡眠学术 (Polysomnography) 是一种多重睡眠学术.便携式的睡眠监测设备可以随身携带.

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