TY  - JOUR
PY  - 2008//
TI  - Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Tran, Yvonne
A1  - Wijesuryia, N.
A1  - Thuraisingham, Ranjit A.
A1  - Craig, A.
A1  - Nguyen, Huong Thanh
SP  - 1096
EP  - 1099
VL  - 2008
IS  - 
N2  - Driver fatigue is a prevalent problem and a major risk for road safety accounting for approximately 20-40% of all motor vehicle accidents. One strategy to prevent fatigue related accidents is through the use of countermeasure devices. Research on countermeasure devices has focused on methods that detect physiological changes from fatigue, with the fast temporal resolution from brain signals, using the electroencephalogram (EEG) held as a promising technique. This paper presents the results of nonlinear analysis using sample entropy and second-order difference plots quantified by central tendency measure (CTM) on alert and fatigue EEG signals from a driving simulated task. Results show that both sample entropy and second-order difference plots significantly increases the regularity and decreases the variability of EEG signals from an alert to a fatigue state.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/IEMBS.2008.4649351
ID  - ref1
ER  -