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

Sleep-Wake Cycles01:24

Sleep-Wake Cycles

1.3K
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:
1.3K
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

187
REM Sleep Behavior Disorder (RBD) is a sleep disorder characterized by the absence of muscle paralysis that normally occurs during the REM phase of sleep. This absence allows individuals to physically act out their dreams, which are often vivid and disturbing. Common behaviors exhibited during episodes include kicking, punching, and yelling. These actions can be dangerous, potentially leading to injuries for the person with RBD or their bed partner.
RBD is significantly associated with...
187
Narcolepsy01:07

Narcolepsy

103
Narcolepsy is a chronic sleep disorder characterized by pervasive, uncontrolled sleepiness and other sleep disturbances. One of its hallmark symptoms is an abrupt transition to REM sleep upon falling asleep, which causes symptoms typically associated with this phase to occur unexpectedly during wakefulness. These include the following symptoms, which typically last from a minute or two to half an hour.
103

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

Transanastomotic Tube Use and Anastomotic Stricture: A Multicenter Prospective Randomized Trial in Neonates Undergoing Repair of Type C Esophageal Atresia with Distal Tracheoesophageal Fistula.

Annals of surgery·2026
Same author

The Prodromal Synucleinopathy Rating Scale: An Assessment in Patients With REM Sleep Behavior Disorder.

Neurology·2026
Same author

Protocolizing Propofol Emergence: Turning "Milk of Amnesia" into Designer Dreams?

Anesthesiology·2026
Same author

Ocular manifestations of vitamin A deficiency in gastrointestinal and hepatobiliary disease.

Frontiers in ophthalmology·2026
Same author

Impact of the COVID-19 Pandemic on Inpatient Cancer Treatment and Outcomes in the United States.

Mayo Clinic proceedings. Innovations, quality & outcomes·2026
Same author

HSR26-199: Socioeconomic, Geographic, and Insurance-Related Disparities in Survival and Treatment Outcomes for Ocular Melanoma: A 21-Year National Inpatient Cohort Study.

Journal of the National Comprehensive Cancer Network : JNCCN·2026
Same journal

Detection of cochlear microphonic for differential diagnosis between auditory neuropathy mice and noise-induced sensorineural hearing loss mice.

Journal of neuroscience methods·2026
Same journal

Assessment metrics for pain control in rats: A methodological commentary.

Journal of neuroscience methods·2026
Same journal

Infant EEG preprocessing pipelines: A capability framework and current gaps in practice.

Journal of neuroscience methods·2026
Same journal

Methods for measuring neural activity during voluntary wheel running.

Journal of neuroscience methods·2026
Same journal

Serotype-dependent differences in AAV cellular transduction rates in the hypothalamus of Arctic ground squirrels.

Journal of neuroscience methods·2026
Same journal

Rapid generation of human sensory neurons from iPSC for modeling of peripheral neuropathies.

Journal of neuroscience methods·2026
查看所有相关文章

相关实验视频

Updated: Jul 4, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

519

一个个性化的半自动睡眠螺旋检测 (PSASD) 框架.

MohammadMehdi Kafashan1, Gaurang Gupte2, Paul Kang2

  • 1Department of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA; Center on Biological Rhythms and Sleep, Washington University in St. Louis, St. Louis, MO, USA.

Journal of neuroscience methods
|February 1, 2024
PubMed
概括
此摘要是机器生成的。

一个新的个性化半自动睡眠旋检测 (PSASD) 框架可以改善脑电图 (EEG) 数据中的睡眠旋检测. 这种混合方法将自动化算法与人类专业知识相结合,在各种人群中获得更准确的结果.

关键词:
自动模式识别自动化模式识别电脑电图 (EEG) 是一个电脑电图.不快速的眼球运动睡眠睡眠.多重睡眠学术 (Polysomnography) 是一种多重睡眠学术.信号处理 信号处理睡眠 睡眠 睡眠 睡眠睡眠螺旋的螺旋是一个睡眠螺旋.无线EEG设备是无线的

更多相关视频

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
10:56

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

10.0K

相关实验视频

Last Updated: Jul 4, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

519
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
10:56

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

10.0K

科学领域:

  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学
  • 生物医学工程 生物医学工程

背景情况:

  • 睡眠是发育,学习和神经系统疾病的关键EEG模式.
  • 手动评分睡眠是耗时且容易出现错误的.
  • 自动化算法在准确检测睡眠中面临着挑战.

研究的目的:

  • 开发一个个性化的半自动睡眠螺杆检测 (PSASD) 框架.
  • 将自动检测与人类专业知识相结合,以提高准确性.
  • 在脑电图 (EEG) 数据中优化睡眠线索检测.

主要方法:

  • 开发了一个PSASD框架,利用EEG睡眠的生成模型.
  • 实现了一个图形用户界面 (GUI) 用于手动评分和自动验证.
  • 采用网格搜索方法进行参数优化,以平衡精度和回忆.

主要成果:

  • 与DETOKS和YASA相比,PSASD在基准数据集上显示出更高的F1分数.
  • 在F1分数中表现优于其他四种广泛使用的睡眠螺杆探测器.
  • 发现四个30秒的时代足以进行模型参数微调.

结论:

  • 在EEG数据中,PSASD增强了对睡眠线索的检测.
  • 该框架在年轻健康和老年成人患者群体中有效.
  • PSASD提供了一个强大的解决方案,用于准确的睡眠线索识别.