EEG synchronization and brain networks: A case study in fatigue

Author

Sengupta, Aparajita ; Datta, Soupayan ; Kar, Soummya ; Routray, A.

Author_Institution

Dept. of Electr. Eng., IIT Kharagpur, Kharagpur, India

fYear

2014

fDate

7-8 Nov. 2014

Firstpage

278

Lastpage

282

Abstract

Synchronization measures between Electroencephalograph (EEG) signals from different regions of the brain are often employed to characterize the interaction of brain areas during mental and physical activity. This work examines the variation of alertness of human subjects due to fatigue in a sleep-deprivation experiment involving a simulated driving task using a Horizontal Visibility Graph (HVG)-based synchronization measure for EEG signals. The synchronization values are used to form a brain network at each stage of the experiment and network parameter values from various brain regions are compared to study the variation in connectivity between brain regions along successive stages of the experiment.

Keywords

cognition; electroencephalography; feature extraction; graph theory; medical signal processing; neurophysiology; sleep; synchronisation; EEG synchronization; HVG-based synchronization measure; alertness variation; brain area interaction characterization; brain network parameter value; brain region connectivity variation; driving task simulation; electroencephalograph signal; fatigue case study; fatigue effect; horizontal visibility graph; mental activity; physical activity; sleep deprivation experiment; synchronization value; Biomedical imaging; Communication systems; Conferences; Characteristic Path Length; Clustering Coefficient; EEG; Horizontal Visibility Graph; Synchronization;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on

Conference_Location

Greater Noida

Print_ISBN

978-1-4799-5096-6

Type

conf

DOI

10.1109/MedCom.2014.7006018

Filename

7006018