Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Stages of Sleep01:22

Stages of Sleep

177
Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
177
Pulse rhythm01:30

Pulse rhythm

771
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
771
Sleep-Wake Cycles01:24

Sleep-Wake Cycles

1.2K
Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
1.2K
Sleep Apnea01:21

Sleep Apnea

131
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...
131

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Leveraging Central Sleep Apnea Events to Validate the Measurement of Lung Volume Changes Using Thoracic Bio-Impedance.

Sensors (Basel, Switzerland)·2026
Same author

Toward Patient-Centric Digital Monitoring of Obstructive Sleep Apnea: Mixed Methods Study.

Journal of medical Internet research·2026
Same author

Estimation of apnea-hypopnea index uncertainty in the presence of long wake bouts and overdispersion.

Physiological measurement·2025
Same author

Obstructive sleep apnea screening performance of the STOP-BANG questionnaire and a home sleep apnea test device in atrial fibrillation ablation candidates.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2025
Same author

Thermal Cameras for Overnight Measuring of Respiration in a Clinical Setting.

Sensors (Basel, Switzerland)·2025
Same author

Sleepiness and Fatigue as Consequences of Cumulative Sleep Restriction: Insights from Fine-Grained Subjective Measures and Skin Temperature in the Field.

Clocks & sleep·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 13, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K

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
PubMed
概括
此摘要是机器生成的。

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.

关键词:
加速度计的加速计是什么?人工智能的人工智能是人工智能.一个催眠图表.睡眠指标是指睡眠的指标.睡眠阶段化是什么

更多相关视频

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood
08:20

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood

Published on: October 2, 2019

11.9K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K

相关实验视频

Last Updated: Jun 13, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood
08:20

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood

Published on: October 2, 2019

11.9K
Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K

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.