Title :
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
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;
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
DOI :
10.1109/MedCom.2014.7006018
