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相关概念视频

Sleep Apnea01:21

Sleep Apnea

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Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
914

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相关实验视频

Updated: May 1, 2026

Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
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使用无线腹部佩戴传感器检测阻塞性睡眠呼吸暂停的自动化算法.

Thi Hang Dang1,2, Seong-Mun Kim1, Min-Seong Choi2

  • 1Department of Electrical Engineering, Ulsan National Institute of Science and Technology, 50, UNIST-gil, Ulsan 44919, Republic of Korea.

Sensors (Basel, Switzerland)
|April 26, 2025
PubMed
概括

一个新的无线可穿戴传感器有效地使用自动化算法选阻塞性睡眠呼吸暂停 (OSA). 这种可访问的设备在检测中度至重度的OSA方面具有很高的准确性,有助于诊断和随访.

关键词:
在MLP-混合机.在腹部穿戴的传感器.电容传感器是一种传感器.在家做睡眠呼吸暂停测试.阻塞性睡眠呼吸暂停症是什么

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Multi-Modal Home Sleep Monitoring in Older Adults
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科学领域:

  • 生物医学工程 生物医学工程
  • 睡眠医学 睡眠医学
  • 人工智能的人工智能

背景情况:

  • 阻塞性睡眠呼吸暂停 (OSA) 在老年人和患有心血管问题的患者中很普遍.
  • 目前的OSA诊断依赖于多睡眠学或家庭睡眠呼吸暂停测试 (HSAT).
  • 无线可穿戴设备为OSA查和监测提供了一个有希望的途径.

研究的目的:

  • 引入和评估一种用于OSA检测的新型自动化算法.
  • 评估用于OSA查的无线腹部佩戴传感器 (Soomirang) 的性能.
  • 为了比较Soomirang系统与标准HSAT设备的准确性.

主要方法:

  • 开发了一个自动化算法,使用来自Soomirang传感器的腹部运动和加速数据.
  • 采用MLP-Mixer深度学习模型来分类正常和呼吸暂停事件.
  • 同时通过Soomirang和HSAT设备监测37名受试者.
  • 利用皮尔森相关性和布兰德-阿尔特曼分析来比较睡眠时间 (ST) 和呼吸暂停-呼吸暂停指数 (AHI) 的估计.

主要成果:

  • 苏米兰格系统在ST (r=0.9) 和AHI (r=0.95) 两方面都与HSAT有很高的相关性.
  • 估计的睡眠时间显示平均差异为7.5分钟.
  • 呼吸暂停-呼吸暂停指数显示平均差异为3.
  • 实现了97.14%的准确性,100%的灵敏度和95.45%的特异性来检测OSA在AHI≥15.5时.

结论:

  • 拟议的算法和Soomirang设备在检测中度至重度OSA方面表现出色.
  • 无线腹部佩戴设备为OSA查和随访提供了一个简单,易于使用和有效的工具.
  • 这项技术有可能提高OSA诊断的可访问性.