title: Using S-transform in EEG analysis for measuring an alert versus mental fatigue state.
abstract: This paper presents research that investigated the effects of mental fatigue on brain activity using electroencephalogram (EEG) signals. Since EEG signals are considered to be non-stationary, time-frequency analysis has frequently been used for analysis. The S-transform is a time-frequency analysis method and is used in this paper to analyze EEG signals during alert and fatigue states during a driving simulator task. Repeated-measure MANOVA results show significant differences between alert and fatigue states within the alpha (8-13Hz) frequency band. The two sites demonstrating the greatest increases in alpha activity during fatigue were the Cz and P4 sites. The results show that S-transform analysis can be used to distinguish between alert and fatigue states in the EEG and also supports the use of the S-transform for EEG analysis.
authors.forename: Yvonne
authors.initials: Y
authors.lastname: Tran
authors.forename: Ranjit
authors.initials: R
authors.lastname: Thuraisingham
authors.forename: Nirupama
authors.initials: N
authors.lastname: Wijesuriya
authors.forename: Ashley
authors.initials: A
authors.lastname: Craig
authors.forename: Hung
authors.initials: H
authors.lastname: Nguyen
mesh_terms: D000293:Adolescent; D000328:Adult; D001334:Automobile Driving; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D005222:Mental Fatigue / Q000175:diagnosis* / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult