基于雷达检测阻塞性睡眠呼吸暂停:跨频段诊断准确性的系统审查和网络元分析
Nguyen Binh Minh Hoang Tran1,2, Thi Quynh Trang Tran1,3, Cheng-Yu Tsai4,5,6,7,8,9,10
1International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Diagnostics (Basel, Switzerland)
|August 28, 2025
概括
雷达系统在检测阻塞性睡眠呼吸暂停 (OSA) 方面具有很高的准确性, 特定的雷达频段和值提供了有前途的非接触式诊断功能.
科学领域:
- 医疗器械
- 睡眠医学
- 生物医学工程
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种广泛且经常未被诊断的睡眠障碍.
- 对于可访问的查,非接触式的OSA检测方法越来越重要.
研究的目的:
- 评估基于雷达的OSA检测系统的诊断准确性.
- 根据其在识别OSA中的有效性对不同雷达频段进行排名.
主要方法:
- 在六个数据库中进行系统的文献搜索,直到2025年5月.
- 包括对成年人雷达系统与多睡眠学进行比较的研究.
- 应用SROC等级建模和元分析,包括频段分层.
主要成果:
- 在OSA检测方面,AUC值高达0. 91.
- 最佳的呼吸暂停- 呼吸暂停指数 (AHI) 截止值为≥22,表现出高灵敏度 (0. 8155) 和特异性 (0. 8819).
- 在AHI值为30时,X波段双雷达显示出优异的性能,其次是K波段;C波段的效率较低.
结论:
- 基于雷达的系统提供了OSA检测的灵敏方法,性能通过频段,雷达类型,人工智能和双传感器进行优化.
- 这项研究提供了雷达频段的比较分析,并确定了临床相关的检测值.
- 未来的研究应该集中在更广泛的频率分析,标准化的AHI值和子组验证上.
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