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

184
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...
184
Brain Waves01:23

Brain Waves

1.2K
Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
1.2K
Understanding Sleep01:11

Understanding Sleep

227
Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
227

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

An RLP23/Cf-9<sup>TM-IC</sup> Chimeric Receptor Enhances nlp24-Triggered Immunity and Resistance to Phytophthora nicotianae in Nicotiana benthamiana.

Molecular plant pathology·2026
Same author

Programmable calculus operations in electromagnetic space using space-time-coding metasurface.

National science review·2026
Same author

CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction.

Neurocomputing·2026
Same author

Two-step enucleation combined with needle electrode: a modified TURBT technique to enhance detrusor muscle detection.

International urology and nephrology·2026
Same author

A RALF22-like Peptide Coordinates Salt Tolerance and Disease Susceptibility in Poplar (<i>Populus davidiana</i> × <i>P. bolleana</i> 'Shanxin').

Plants (Basel, Switzerland)·2026
Same author

Non-volatile and volatile compound analyses revealed the effect of oregano essential oil on the flavor characteristics of beef.

Frontiers in nutrition·2026
Same journal

PENN: Phase Estimation Neural Network on Gene Expression Data.

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023). Joint International Conference on Deep Learning, Big Data and Blockchain (4th : 2023 : Marrakech, Morocco ; Online)·2023
查看所有相关文章

相关实验视频

Updated: Jun 22, 2025

Author Spotlight: IntelliSleepScorer &#8212; 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

496

通过深度学习探索大脑波和睡眠模式之间的联系

Yosef Bernardus Wirian1, Yang Jiang2, Sylvia Cerel-Suhl3

  • 1Computer Science Department, University of Kentucky, Lexington, KY 40536, USA.

The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023). Joint International Conference on Deep Learning, Big Data and Blockchain (4th : 2023 : Marrakech, Morocco ; Online)
|June 28, 2024
PubMed
概括
此摘要是机器生成的。

深度学习的多重对齐有效地揭示了睡眠架构和脑电图 (EEG) 数据之间的联系. 这种新的方法揭示了传统的斯皮尔曼相关性遗漏的关联,有助于睡眠障碍研究.

关键词:
深度学习 (Deep Learning) 是一种深度学习.这是一个EEGEEGEEGEEGEEGEEGEEG.多重对齐多重对齐睡眠架构 睡眠架构

更多相关视频

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
Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice
08:58

Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice

Published on: June 19, 2019

9.7K

相关实验视频

Last Updated: Jun 22, 2025

Author Spotlight: IntelliSleepScorer &#8212; 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

496
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
Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice
08:58

Optogenetic Manipulation of Neural Circuits During Monitoring Sleep/wakefulness States in Mice

Published on: June 19, 2019

9.7K

科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 数据科学数据科学数据科学

背景情况:

  • 医疗数据经常结合文本,图像和音频等多种格式,在分析模式间关系方面提出了挑战.
  • 多睡眠学 (PSG) 数据集,包括催眠图,心电图 (ECG) 和脑电图 (EEG),对于睡眠障碍研究至关重要,但表现出复杂的模式间关联.

研究的目的:

  • 探索睡眠架构和脑电图 (EEG) 功能之间的复杂关系,使用一种新的深度学习多重排列技术.
  • 与传统的统计方法相比,评估深度学习多重对齐在识别睡眠架构和EEG数据之间的关联方面的有效性.

主要方法:

  • 利用深度学习的多重对齐方法来分析多模态多人睡眠学 (PSG) 数据集.
  • 在PSG数据中研究了睡眠架构和脑电图 (EEG) 特征之间的关联.

主要成果:

  • 深度学习的多重对齐方法成功地确定了睡眠架构和EEG数据集之间的显著关联.
  • 这些发现与先前利用PSG数据诊断睡眠障碍和监测睡眠质量的研究一致.
  • 斯皮尔曼相关性方法未能检测到深度学习方法发现的相关性.

结论:

  • 深度学习的多重对齐提供了一个强大的工具,用于揭示多模式医疗数据中的隐藏关系,特别是睡眠研究.
  • 这种方法增强了我们对睡眠阶段和大脑活动动态的理解,超越了像斯皮尔曼相关性这样的传统统计技术的能力.