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相关概念视频

Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

509
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,...
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Understanding Sleep01:11

Understanding Sleep

1.8K
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...
1.8K
Optimal Arousal Theory01:23

Optimal Arousal Theory

1.0K
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
1.0K
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

2.2K
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...
2.2K
Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

1.2K
Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
1.2K
Sleep Apnea01:21

Sleep Apnea

693
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...
693

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相关实验视频

Updated: Mar 13, 2026

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

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

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睡眠网:使用动态社交网络进行注意力增强强健壮睡眠预测.

Maryam Khalid1, Elizabeth B Klerman2, Andrew W McHill3

  • 1Department of Electrical & Computer Engineering, Rice University, USA.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies
|March 12, 2026
PubMed
概括
此摘要是机器生成的。

睡眠网通过分析生理,电话和社交网络数据来预测睡眠时间. 纳入社会传染显著提高预测准确性,即使有噪音数据.

关键词:
图形的卷积可以表示.传染 传染 传染 传染图形神经网络的神经网络移动计算 移动计算多模式传感传感器睡眠 睡眠 睡眠 睡眠 睡眠社交网络 社交网络可以穿戴的传感器.预测福利,预测幸福.

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科学领域:

  • 计算健康计算的健康.
  • 网络科学 网络科学
  • 行为信息学是一种行为信息学.

背景情况:

  • 睡眠行为对身体和精神健康至关重要.
  • 无处不在的传感器可以监测睡眠,帮助健康管理.
  • 睡眠受到生理学,数字媒体,社交网络和天气的影响.

研究的目的:

  • 开发SleepNet,用于预测第二天睡眠时间的系统.
  • 使用图形网络集成生理,电话和社交网络数据.
  • 为了利用社会传染效应来改善睡眠行为预测.

主要方法:

  • 建议使用图形网络和注意力机制的SleepNet架构.
  • 从移动和可穿戴设备集成生理和电话数据.
  • 通过网络分析利用睡眠行为中的社会传染.

主要成果:

  • 结合社交网络显著提高了睡眠时间预测的准确性.
  • 睡眠网络证明了对输入数据中扰动的稳定性.
  • 网络拓,特别是自值中心性,影响了预测稳定性.

结论:

  • 通过整合各种数据来源,SleepNet有效地预测睡眠时间.
  • 社会传染是预测睡眠行为的重要因素.
  • 了解网络拓是强大的睡眠行为监控系统的关键.