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Multi-Modal Home Sleep Monitoring in Older Adults
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一夜间睡眠分期使用胸部穿戴加速计
Fons Schipper1,2, Angela Grassi2, Marco Ross1,3
1Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
一个新的算法使用胸部佩戴的加速度计来根据心脏和呼吸系统信号估计睡眠阶段. 这种不那么引人注目的方法对高准确度诊断睡眠障碍有希望.
科学领域:
- 睡眠医学 睡眠医学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 夜间睡眠阶段化对于诊断睡眠障碍至关重要.
- 多人睡眠学 (PSG) 是黄金标准,但很尬.
- 对于睡眠分析而言,越来越多的不那么引人注目的传感方式正在出现.
研究的目的:
- 开发和验证一个用于"代理"睡眠阶段的算法.
- 为了利用胸部佩戴的加速度计发出的心脏和呼吸信号.
- 评估不引人注目的睡眠分期的可行性.
主要方法:
- 通过使用PSG和胸部佩戴的加速度计,在两个睡眠中心收集了323名参与者的数据.
- 从加速度计数据中得出心脏和呼吸系统特征.
- 应用了自动心肺呼吸睡眠分期方法,并将结果与PSG进行了比较.
主要成果:
- 获得了80.8%的准确度和0.68的科恩卡帕,用于四种类别的睡眠阶段 (清醒,REM,N1+N2,N3).
- 达到93.3%的准确度,用于醒 vs 睡眠分类,具有78.7%的灵敏度和96.6%的特异性.
- 在不同年龄,BMI和睡眠障碍人群中证明了可靠的睡眠阶段.
结论:
- 来自胸部佩戴的加速度计的心肺呼吸信号可以有效地估计睡眠阶段.
- 这种方法提供了一个不那么突显的替代方案,以传统的PSG睡眠分期.
- 这些发现支持临床应用在睡眠医学中,使得更容易诊断睡眠障碍.
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