Cargando…
Source-Space Brain Functional Connectivity Features in Electroencephalogram-Based Driver Fatigue Classification
This study examined the brain source space functional connectivity from the electroencephalogram (EEG) activity of 48 participants during a driving simulation experiment where they drove until fatigue developed. Source-space functional connectivity (FC) analysis is a state-of-the-art method for unde...
Autores principales: | Nguyen, Khanh Ha, Ebbatson, Matthew, Tran, Yvonne, Craig, Ashley, Nguyen, Hung, Chai, Rifai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007183/ https://www.ncbi.nlm.nih.gov/pubmed/36904587 http://dx.doi.org/10.3390/s23052383 |
Ejemplares similares
-
Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks
por: Chai, Rifai, et al.
Publicado: (2017) -
Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators
por: Perera, Dulan, et al.
Publicado: (2022) -
Magnetic Resonance Imaging Findings and Their Association with Electroencephalogram Data in Children with Partial Epilepsy
por: Minh Xuan, Ngo, et al.
Publicado: (2020) -
Electroencephalogram characteristics in patients with chronic fatigue syndrome
por: Wu, Tong, et al.
Publicado: (2016) -
Electroencephalogram microstates and functional connectivity of cybersickness
por: Nam, Sungu, et al.
Publicado: (2022)