在成年人中使用嵌入在腕表可穿戴设备中的惯性测量单元进行睡眠呼吸暂停的定量检测
Junichiro Hayano1,2, Mine Adachi3, Fumihiko Sasaki3
1Heart Beat Science Lab, Inc., Sendai, Japan. hayano@acm.org.
Scientific reports
|February 19, 2024
概括
未被诊断的睡眠呼吸暂停 (SA) 带来健康风险. 腕表嵌入式惯性测量单元 (IMU) 通过分析呼吸信号来检测SA,为患者提供有前途的诊断工具.
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:
- 睡眠呼吸暂停 (SA) 是一种普遍的疾病,与严重的健康问题如心血管疾病和认知能力下降有关.
- 超过80%的SA患者仍未被诊断出来,这凸显了检测和治疗方面的巨大差距.
- 可穿戴设备中的惯性测量单元 (IMU) 提供了适合长期健康监测的连续,低功耗传感能力.
研究的目的:
- 调查使用集成到腕表中的IMU来检测睡眠呼吸暂停 (SA) 的可行性.
- 开发和验证一种算法,用于识别使用IMU数据标志着SA的呼吸事件.
主要方法:
- 122名接受了多睡眠图 (PSG) 的成年人进行了IMU数据 (三轴加速和陀螺信号) 的记录.
- 训练了一种算法,通过分析0.13-0.70 Hz频段的信号来检测呼吸事件.
- 在一个单独的测试组中,对算法的性能进行了评估,对比PSG的呼吸暂停-呼吸暂停指数 (AHI).
主要成果:
- 算法估计的呼吸事件频率与测试组的PSG衍生的AHI (r=0.84) 有很强的相关性.
- 中度至重度的SA (AHI ≥15) 确定准确率为85%.
- 严重的SA (AHI ≥30) 用在培训期间建立的值以89%的准确度被检测出来.
结论:
- 手表嵌入式IMU可以在怀疑SA的成年人中定量检测睡眠呼吸暂停 (SA).
- 这项技术为SA查和诊断提供了潜在的非侵入性方法.
- 这些发现支持使用可穿戴传感器来提高SA检测率.
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