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

Blind Procedures02:07

Blind Procedures

10.6K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
10.6K
Insufficient Sleep and Sleep Deprivation01:13

Insufficient Sleep and Sleep Deprivation

121
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...
121
Management of Insomnia01:19

Management of Insomnia

223
The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
223
Insomnia01:27

Insomnia

77
Insomnia is a prevalent sleep disorder characterized by difficulty falling asleep, frequent awakenings during the night, and waking up too early without being able to return to sleep. People with insomnia often experience these disruptions at least three nights a week for at least one month. Chronic insomnia, which lasts for at least three months, can lead to increased anxiety, which in turn can worsen sleep difficulties, creating a cycle of sleeplessness and stress.
Multiple factors contribute...
77
Sleepwalking and Sleep Talking01:17

Sleepwalking and Sleep Talking

105
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...
105

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

Multimodal passive smartphone sensing in older adults: a guide for clinical scientists based upon an ongoing cohort study.

Innovation in aging·2026
Same author

Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study.

JMIR formative research·2025
Same author

Virtual Reality-Applied Home-Visit Rehabilitation for Patients With Chronic Pain: Protocol for Single-Arm Pre-Post Comparison Study.

JMIR research protocols·2025
Same author

Veno-venous extracorporeal membrane oxygenation in managing acute respiratory distress syndrome associated with hemolytic uremic syndrome and septic shock: a case report.

Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs·2024
Same author

Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study.

JMIR mHealth and uHealth·2024
Same author

Correlation Between the Social Network Structure and Well-Being of Health Care Workers in Intensive Care Units: Prospective Observational Study.

Interactive journal of medical research·2023
Same journal

Knowledge, Attitudes, and Practices Related to AI in Learning and Research Among Medical Students in Vietnam: Cross-Sectional Study.

JMIR formative research·2026
Same journal

Access to an mHealth Tool for Symptom Management in Pediatric Oncology Care: Triangulation Study.

JMIR formative research·2026
Same journal

Agreement Between Reasoning-Oriented Generative AI Models and Clinical Educators in Evaluating Japanese Objective Structured Clinical Examination Transcripts: Preliminary Comparative Study.

JMIR formative research·2026
Same journal

Automated Optic Disc Tilt Classification in Fundus Photographs Using Segmentation and the Elliptical Ratio: External Clinical Validation Study.

JMIR formative research·2026
Same journal

Effects of Virtual Reality on Postoperative Pain Management Following Minimally Invasive Gynecologic Surgery: Randomized Controlled Trial.

JMIR formative research·2026
Same journal

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing.

JMIR formative research·2026
查看所有相关文章

相关实验视频

Updated: May 16, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K

为轮班工作者提供个性化医生辅助睡眠建议:算法开发和验证研究

Yufei Shen1,2, Alicia Choto Olivier1, Han Yu1

  • 1Rice University, Houston, TX, United States.

JMIR formative research
|April 1, 2025
PubMed
概括
此摘要是机器生成的。

机器学习算法可以预测轮班工人个性化的睡眠建议,改善轮班工作睡眠障碍的管理. 这项技术显示出对自动化,可信的推的前景.

关键词:
这是CBT CBT.基于应用程序的干预.认知行为疗法是一种认知行为疗法.医疗保健工作者 医疗保健工作者机器学习是机器学习.医疗安全 医疗安全轮班工作是轮班工作.轮班工作 睡眠障碍 睡眠障碍轮班工人轮班工人轮班工人轮班工人轮班工人轮班工人轮班工人睡眠障碍 睡眠障碍是一种睡眠障碍.可以穿戴的传感器.基于网络的干预.福利 幸福感 幸福感

更多相关视频

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

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

560

相关实验视频

Last Updated: May 16, 2025

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
08:36

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

11.9K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.6K
Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

560

科学领域:

  • 睡眠医学 睡眠医学
  • 人工智能的人工智能
  • 职业健康 职业健康 职业健康

背景情况:

  • 轮班工作破坏昼夜节律,导致轮班工作睡眠障碍.
  • 失眠的认知行为治疗 (CBT-I) 原则指导有效的管理策略.
  • 个性化干预对于解决个人睡眠障碍至关重要.

研究的目的:

  • 开发和评估用于预测医生提供的睡眠建议的机器学习 (ML) 算法.
  • 创建一个系统,为轮班工作者提供个性化的睡眠和行为建议.
  • 利用可穿戴设备和调查数据进行个性化睡眠干预.

主要方法:

  • 收集了日本61名轮班工人的5周的Fitbit,调查和睡眠建议数据.
  • 设计了生理和行为特征,然后使用等级分类来识别参与者集群.
  • 探索随机森林,光梯度增强机器和CatBoost模型,使用各种数据平衡技术来预测频繁的建议消息.

主要成果:

  • 参与者集群因工作轮班和独特的行为模式而有所区别,与睡眠质量相关.
  • 机器学习模型显著超过了基线预测 (P<.001),在精度回忆曲线下实现了高面积.
  • 功能重要性分析显示,模型准确地使用了相关数据,例如,卧室亮度用于"使卧室变暗"的建议.

结论:

  • 一个准确的ML算法显示了自动化,可靠的睡眠建议产生的潜力,轮班工作者.
  • 目前的系统虽然有希望,但仅限于预测最频繁的7个建议信息.
  • 需要进一步的研究,以扩大预测能力到不太常见的睡眠建议建议.