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相关概念视频

Sleep Apnea01:21

Sleep Apnea

145
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...
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Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

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Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
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相关实验视频

Updated: Jun 24, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
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Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

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走向使用深度学习的自动家庭睡眠呼吸暂停估计.

Gabriela Retamales1, Marino E Gavidia1, Ben Bausch1

  • 1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367, Belvaux, Luxembourg.

NPJ digital medicine
|June 1, 2024
PubMed
概括
此摘要是机器生成的。

一种新方法使用可穿戴传感器在家中估计睡眠呼吸暂停的严重程度,提高了诊断的舒适性和可访问性. 这种方法有助于医生识别睡眠呼吸障碍,提高患者的护理.

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Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
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Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
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Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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科学领域:

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

背景情况:

  • 睡眠障碍如呼吸暂停和呼吸暂停涉及呼吸道阻塞,影响健康.
  • 多睡眠学 (PSG) 是通过呼吸暂停指数 (AHI) 诊断睡眠暂停严重性的标准,但对于长期监测来说是昂贵和不舒服的.
  • 早期发现和治疗睡眠呼吸暂停对于减少发病率和死亡率至关重要.

研究的目的:

  • 推出DRIVEN,一种用于估计AHI和在家中使用可穿戴传感器检测睡眠事件 (呼吸暂停,呼吸暂停,清醒) 的新方法.
  • 为长期睡眠呼吸暂停监测提供一种舒适且具有成本效益的替代传统PSG.
  • 通过可访问的家庭测量来帮助医生诊断睡眠呼吸暂停的严重程度.

主要方法:

  • 利用深层卷积神经网络和光梯度增强机器的组合进行分类.
  • 采用了来自三个大型睡眠研究的公开数据,包括14370个记录.
  • 从可穿戴传感器测量腹部运动,胸部运动或脉冲氧计的集成数据.

主要成果:

  • 通过仅使用两个传感器,DRIVEN实现了72.4%的正确分类,将患者分为四个AHI严重程度等级.
  • 99.3%的患者被正确分类或放置在其真正的AHI严重程度的一个类别内.
  • 在诊断性能和患者舒适度之间表现出良好的平衡.

结论:

  • 驱动提供了一个可行的解决方案,用于无监督的长期家庭监测睡眠呼吸暂停.
  • 该方法有可能显著降低与睡眠研究相关的医疗保健成本.
  • 实施DRIVEN可以改善患者护理和更早地对睡眠呼吸障碍进行干预.