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相关概念视频

Understanding Sleep01:11

Understanding Sleep

1.4K
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...
1.4K
Stages of Sleep01:22

Stages of Sleep

1.3K
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...
1.3K
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

1.3K
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...
1.3K
Sleepwalking and Sleep Talking01:17

Sleepwalking and Sleep Talking

796
Somnambulism, commonly known as sleepwalking, involves individuals engaging in activities ranging from simple walking to more complex behaviors such as driving. Sleepwalking typically occurs during the slow-wave sleep stages 3 and 4 early in the night when the person is not dreaming, contradicting the myth that sleepwalkers are acting out their dreams.
Factors that increase the likelihood of sleepwalking include sleep deprivation and alcohol consumption. Contrary to common beliefs, it is safe...
796
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

369
Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
369
Sleep-Wake Cycles01:24

Sleep-Wake Cycles

2.7K
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:
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相关实验视频

Updated: Jan 9, 2026

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

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MultiConsSleepNet:一种基于多模式一致性的自动睡眠分期模型的自我监督对比学习.

Yangzuyi Yu, Shuyu Chen, Wanxin Wei

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了MultiConsSleepNet,这是一个深度学习模型,用于使用电脑图 (EEG) 和电眼图 (EOG) 信号自动分阶段睡眠. 它有效地使用未标记的数据,以最小的标记数据实现高精度.

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    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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    Polygraphic Recording Procedure for Measuring Sleep in Mice

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    相关实验视频

    Last Updated: Jan 9, 2026

    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

    Published on: November 8, 2024

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

    • 神经科学是一个神经科学.
    • 人工智能的人工智能
    • 生物医学工程 生物医学工程

    背景情况:

    • 准确的睡眠分期对于诊断睡眠障碍和了解睡眠对整体健康的作用至关重要.
    • 目前用于自动睡眠分阶段的深度学习方法在多式联接表示提取,利用信号相似性/差异性和利用未标记数据方面面临挑战.

    研究的目的:

    • 开发一个多式联网深度学习网络,MultiConsSleepNet,以实现高效和准确的自动睡眠分期.
    • 解决多式联网特征提取,一致性学习和利用未标记的数据来增强模型概括和实用性的挑战.

    主要方法:

    • MultiConsSleepNet集成了单模式特征提取器和多模式一致性提取器,用于电脑图 (EEG) 和电眼图 (EOG) 信号.
    • 自主监督的对比学习策略用于单模和多模一致性学习.
    • 该模型在三个数据集上进行评估,以评估其在有限的标记数据中的性能.

    主要成果:

    • MultiConsSleepNet在自动睡眠分期方面实现了最先进的性能,特别是在有限的标记数据下.
    • 该模型在利用丰富的未标记数据以提高实际应用价值方面表现出高效率.
    • 在使用仅10%标记数据的交叉数据集场景中,获得了74.2%的平均F1分数和79.6%的准确性.

    结论:

    • MultiConsSleepNet为自动睡眠分阶段提供了一个有前途的多式联络深度学习方法,大大减少了对广泛标记数据的需求.
    • 该方法提高了模式内部和跨模式的特征一致性,改善了模型的概括性和可转移性.
    • 这种方法为临床医生提供了宝贵的工具,提高了睡眠障碍诊断和临床工作流程的效率和可靠性.