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相关概念视频

Understanding Sleep01:11

Understanding Sleep

215
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...
215
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

121
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...
121
Stages of Sleep01:22

Stages of Sleep

163
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...
163
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

127
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...
127
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

153
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,...
153

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相关实验视频

Updated: May 24, 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

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STConvSleepNet:用于睡眠姿势检测的时空卷积网络.

Dikun Hu, Weidong Gao, Kai Keng Ang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一种新的STConvSleepNet方法使用压电传感器准确检测睡眠姿势. 这种具有成本效益的方法为家庭睡眠监测和预防压力提供了有希望的潜力.

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    相关实验视频

    Last Updated: May 24, 2025

    Author Spotlight: IntelliSleepScorer &#8212; 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:

    • 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:

    • 睡眠姿势显著影响睡眠健康,并与阻塞性睡眠呼吸暂停 (OSA) 等疾病有关.
    • 检测睡眠姿势对于管理OSA和预防卧床患者的压力至关重要.
    • 目前的方法可能需要许多传感器,这限制了家庭使用的成本效益.

    研究的目的:

    • 引入STConvSleepNet,一种使用压电传感器压力数据检测睡眠姿势的新方法.
    • 评估STConvSleepNet在准确识别不同睡眠姿势方面的有效性.
    • 为了证明具有成本效益的便携式睡眠监测解决方案的潜力.

    主要方法:

    • 利用来自22名参与者的32个传感器阵列的压力数据.
    • 开发了STConvSleepNet,使用CNN2D和CNN1D网络来分析心率和呼吸率的空间和时间特征.
    • 对8583个采集的样本进行了5倍的交叉验证.

    主要成果:

    • STConvSleepNet实现了91.11%的回忆,92.89%的精度和92.39%的准确性.
    • 性能与需要更多传感器的最先进方法相提并论,以获得边际准确度的收益.
    • 该方法有效地根据压力分布和心肺变异性来区分睡眠姿势.

    结论:

    • STConvSleepNet为睡眠姿势检测提供了一个有前途,准确和潜在的成本效益的解决方案.
    • 该方法适用于长期在家监测睡眠的不同人群.
    • 这项技术可以帮助管理睡眠障碍并预防与压力相关的并发症.