索姆诺-艺术软件识别了病理诱导的睡眠参数的变化,类似于多重睡眠学
Laurie Thiesse1, Luc Staner2, Patrice Bourgin3,4
1PPRS, Colmar, France.
PloS one
|October 20, 2023
概括
使用可穿戴传感器的Somno-Art软件,准确地检测到阻塞性睡眠呼吸暂停 (OSA),失眠和严重抑郁症 (MDD) 患者的睡眠差异,与多睡眠学 (PSG) 相比. 这种可穿戴工具有助于在门诊环境中诊断睡眠障碍.
科学领域:
- 睡眠医学 睡眠医学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 多睡眠学 (PSG) 是睡眠障碍诊断的黄金标准,但有实际限制.
- 可穿戴设备和算法为睡眠监测和分阶段提供了更容易获得的替代方案.
- 临床医生需要验证可穿戴技术是否产生与PSG一致的结果,以便可靠的诊断.
研究的目的:
- 评估Somno-Art软件在健康个体和患有阻塞性睡眠呼吸暂停 (OSA),失眠或严重抑郁症 (MDD) 的患者之间的睡眠参数区分方面的性能.
- 在各种患者群体中,将Somno-Art软件的诊断一致性与传统的多睡眠学 (PSG) 进行比较.
- 评估Somno-Art作为 ambulatory诊断和治疗后续的工具的实用性.
主要方法:
- 使用PSG和Somno-Art软件对244名受试者的同步心电图和动度仪信号进行了睡眠分期.
- 试验对象包括健康人 (n=26) 和患有OSA (n=28),失眠 (n=66) 和MDD (n=124) 的患者.
- 统计分析包括混合模型分析差异和曼·惠特尼U测试,以比较组和技术之间的睡眠参数.
主要成果:
- 在大多数睡眠参数中,除了N1+N2睡眠阶段之外,在健康受试者和所有病理组 (OSA,失眠,MDD) 之间发现了显著的差异.
- 索姆诺-艺术软件显示了与PSG相似的结果,REM睡眠 (3.6±2.2分钟) 的略微高估.
- 与病理相关的睡眠参数观察到的差异独立于所使用的技术 (PSG与Somno-Art).
结论:
- Somno-Art软件为评估各种睡眠障碍之间的睡眠架构差异提供了一个有效和可比的PSG替代方案.
- 该软件能够检测病理特异性的睡眠变化,这表明其潜力作为诊断辅助在门诊设置.
- 在传统临床环境之外,Somno-Art为睡眠障碍的诊断和治疗跟踪提供了一个有前途的工具.
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