基于光电磁缩学的智能手表用于阻塞性睡眠呼吸暂停的诊断性能
Min Woo Kim1, Sung Han Park2, Myoung Su Choi1
1Department of Otolaryngology-Head and Neck Surgery, Daejeon Eulji Medical Center, Eulji University, Daejeon, Republic of Korea.
Journal of rhinology : official journal of the Korean Rhinologic Society
|December 12, 2024
概括
智能手表显示出通过测量氧和度来诊断阻塞性睡眠呼吸暂停 (OSA) 的前景. 虽然准确性很大,但随着OSA严重程度的增加,它会下降,这表明严重病例的限制.
科学领域:
- 生物医学工程 生物医学工程
- 睡眠医学 睡眠医学
- 可穿戴技术可穿戴技术
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 对健康构成重大风险,需要早期诊断和治疗.
- 多睡眠学 (PSG) 是OSA诊断的黄金标准,但对大规模查有局限性.
- 带有光聚缩学 (PPG) 的智能手表为监测诸如氧和等生命体征提供了潜在的替代方案.
研究的目的:
- 为了评估基于智能手表的氧和参数的诊断准确性,与阻塞性睡眠呼吸暂停 (OSA) 的多睡眠学 (PSG) 相比.
- 为了比较两款流行的智能手表型号 (Apple Watch 7和Galaxy Watch 4) 在检测OSA方面的性能.
主要方法:
- 被怀疑患有OSA且接受PSG治疗的患者被招募并自愿佩戴Galaxy Watch 4 (GW) 或Apple Watch 7 (AW).
- 评估了智能手表氧和数据和PSG结果之间的一致率.
- 对OSA的诊断准确性,敏感性和特异性 (呼吸暂停-呼吸暂停指数 (AHI) ≥5/h) 计算了这两种智能手表类型.
主要成果:
- 银河手表4显示AHI≥5/h的诊断准确度低于90%,灵敏度为82.9%,特异性为75.8% (AUC=0.807). 使用最低的氧和值改善了AUC到0.849.
- 对于平均氧和度 (AUC=0.757),Apple Watch 7表现出75.6%的灵敏度和70.8%的特异性,对于最低值 (AUC=0.705),表现出71.1%的灵敏度和62.5%的特异性.
- 这两种设备都表现出相当大的诊断准确性,尽管性能随着OSA严重程度的增加而下降.
结论:
- 智能手表可以为OSA查提供有价值的数据,提供更容易获得的诊断工具.
- 智能手表对OSA的诊断准确性很大,但在严重疾病的情况下可能是有限的.
- 需要进一步的研究来完善算法,并提高用于睡眠呼吸暂停检测的可穿戴设备的准确性.
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