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

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

ARKG: Adversarially Residual Knowledge Generalization to Open-Set Domain Adaptation.

IEEE transactions on neural networks and learning systems·2026
Same author

Brain signature of food and alcohol stimuli processing: a comparative EEG study.

Frontiers in human neuroscience·2026
Same author

Neonatal brain age estimation from T2-weighted magnetic resonance images using shallow regression analysis.

Scientific reports·2026
Same author

Febrile seizure risk following monovalent COVID-19 mRNA vaccination in US children aged 2-5 years.

Vaccine·2026
Same author

Hierarchical multi-resolution deep encoder-decoder network for MRI Brain Tumor segmentation.

Biomedical physics & engineering express·2026
Same author

Impact of obstructive sleep apnea on sleep cycles and spindle dynamics: A polysomnographic study.

Physiology & behavior·2025
Same journal

Occupational Exposure to Blue Light Emitted from Neonatal Phototherapy Devices Alters the Sleep Quality of NICU Nurses.

Journal of biomedical physics & engineering·2026
Same journal

Diagnosing Epilepsy using Entropy Measures and Embedding Parameters of EEG Signals.

Journal of biomedical physics & engineering·2026
Same journal

<i>In Vitro</i> Radiosensitizing Effects of Urtica Dioica Leaf Aqueous Extract on the Killing of U87MG Glioblastoma Cell Line.

Journal of biomedical physics & engineering·2026
Same journal

Bacterial Adaptation to Radiofrequency Electromagnetic Fields Based on Experiences from Ionizing Radiation.

Journal of biomedical physics & engineering·2026
Same journal

Advanced CNN Deep Learning Model for Diabetic Retinopathy Classification.

Journal of biomedical physics & engineering·2026
Same journal

Determining the Correlation and Effect of Rectal and Bladder Volume Change in Shift of Planning Target Volume and Calculating Planning Target Volume Margin with Van Herk Formula in Prostate Cancer Tomotherapy.

Journal of biomedical physics & engineering·2026
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.6K

使用EEG微态特征和支持矢量机器检测驾驶员疲劳.

Zahra Yaddasht1, Kamran Kazemi1, Habibollah Danyali1

  • 1Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran.

Journal of biomedical physics & engineering
|December 11, 2025
PubMed
概括
此摘要是机器生成的。

脑电图 (EEG) 微态分析有效地检测出驾驶员的疲劳. 通过将微状态功能与支持矢量机器 (SVM) 机器学习相结合,实现了98.77%的准确性,提高了交通安全.

关键词:
驾驶疲劳导致的驾驶疲劳电脑电图微态分析电脑电图 (电脑电图) 是一种脑电图.疲劳 疲劳 疲劳 疲劳 疲劳支持向量机器 支持向量机器

更多相关视频

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.1K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

相关实验视频

Last Updated: Jan 9, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.6K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.1K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

科学领域:

  • 神经科学是一个神经科学.
  • 机器学习 机器学习
  • 交通安全 交通安全

背景情况:

  • 司机疲劳对道路安全构成重大风险.
  • 电脑电图 (EEG) 信号提供心理状态的直接测量,使其适合用于疲劳检测.

研究的目的:

  • 评估EEG微态分析用于识别驾驶员疲劳的有效性.
  • 为了探索正常和疲劳状态之间的微状态特征的变化.

主要方法:

  • 使用监督机器学习进行的分析研究,用于检测驾驶员疲劳.
  • 从正常和疲劳状态的10名参与者收集的EEG数据.
  • 微状态分析从A,B,C,D微状态中提取特征 (持续时间,发生率,覆盖率,MMP).
  • 支持矢量机 (SVM) 分类器训练并使用提取的特征进行测试.

主要成果:

  • 使用EEG微态特征实现了高分类准确度.
  • 微态平均功率 (MMP) 和发生特征的组合产生了最高的准确性.
  • 记录的最高分类准确率达到了98.77%.

结论:

  • 脑电图微态分析与SVM相结合,是检测驾驶员疲劳的一种可行的方法.
  • 这种方法可以集成到实时驾驶员监控和疲劳警报系统中.
  • 这项技术的实施可以显著提高道路安全.