
Anastasios Bezerianos
Medical Physics, University of Patras, Patras, Achaia, Greece, 26500
(e-mail: bezer@upatras.gr)
Associated articles
TNSRE, Featured Articles
Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks
Georgios N. Dimitrakopoulos, Ioannis Kakkos, Zhongxiang Dai, Hongtao Wang, Nitish V. Thakor, Anastasios Bezerianos, Yu Sun
Despite the apparent importance of mental fatigue detection, a reliable application is hindered due to the incomprehensive understanding of the neural mechanisms of mental fatigue. In this paper, we investigated the topological alterations of functional brain networks in the theta...
Read more
Posted on 12 APR 2018
TNSRE, Featured Articles
Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving
Hongtao Wang, Xucheng Liu, Hongying Hu, Feng Wan, Ting Li, Lingyun Gao, Anastasios Bezerianos, Yu Sun, Tzyy-Ping Jung
Although driving fatigue has long been recognized as one of the leading causes of fatal accidents worldwide, the underlying neural mechanisms remain largely unknown that impedes the developments of automatic detection techniques...
Read more
Posted on 23 JUL 2020
JBHI, Featured Articles
EEG fingerprints of task-independent mental workload discrimination
Ioannis Kakkos, Georgios N. Dimitrakopoulos, Yi Sun, Jingjia Yuan, George K. Matsopoulos, Anastasios Bezerianos, Yu Sun
In the nascent field of neuroergonomics, mental workload assessment is one of the most important issues and has an apparent significance in real-world applications. Although prior research has achieved efficient single-task classification, scatted studies on cross-task mental workload assessment usually result in unsatisfactory performance. Here, we introduce a data-driven analysis framework to overcome the challenges regarding task-independent workload assessment using a fusion of EEG spectral characteristics and unveil the common neural mechanisms underlying mental workload...
Read more
Posted on 2 OCT 2021