Cargando…
Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals
Fatigue driving is one of the major factors that leads to traffic accidents. Long-term monotonous driving can easily cause a decrease in the driver’s attention and vigilance, manifesting a fatigue effect. This paper proposes a means of revealing the effects of driving fatigue on the brain’s informat...
Autores principales: | Qin, Yingmei, Hu, Ziyu, Chen, Yi, Liu, Jing, Jiang, Lijie, Che, Yanqiu, Han, Chunxiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407608/ https://www.ncbi.nlm.nih.gov/pubmed/36010760 http://dx.doi.org/10.3390/e24081093 |
Ejemplares similares
-
Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals
por: Han, Chunxiao, et al.
Publicado: (2019) -
Classifying Driving Fatigue by Using EEG Signals
por: Zeng, Changqing, et al.
Publicado: (2022) -
Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals
por: Mu, Zhendong, et al.
Publicado: (2022) -
Retracted: Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network
por: Wang, Ruofan, et al.
Publicado: (2023)