Time-Dependent Adaptations of Brain Networks in Driving Fatigue
Driving with fatigue is a major contributor to traffic accidents and is closely linked to central nervous system functions. To investigate the evolution of brain dynamics during simulated driving under different EEG rhythms, we conducted an experiment in which participants performed a 1 h driving ta...
Main Authors: | Olympia Giannakopoulou, Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yu Sun, George K. Matsopoulos, Dimitrios D. Koutsouris |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Engineering Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4591/50/1/6 |
Similar Items
-
Reliability of EEG Measures in Driving Fatigue
by: Jonathan Harvy, et al.
Published: (2022-01-01) -
Sample-Entropy-Based Method for Real Driving Fatigue Detection with Multichannel Electroencephalogram
by: Tao Zhang, et al.
Published: (2021-11-01) -
Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms
by: Georgios N. Dimitrakopoulos, et al.
Published: (2023-02-01) -
Static and Fatigue Tensile Properties of Cross-Ply Carbon-Fiber-Reinforced Epoxy-Matrix-Composite Laminates with Thin Plies
by: Kimiyoshi Naito, et al.
Published: (2023-04-01) -
Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving
by: Chun-Hsiang Chuang, et al.
Published: (2018-03-01)