title: Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to the fatigue state.
abstract: Fatigue is a negative symptom of many illnesses and also has major implications for road safety. This paper presents results using a method called microstate segmentation (MSS). It was used to distinguish changes from an alert to a fatigue state. The results show a significant increase in MSS instantaneous amplitude during the fatigue state. Plotting the linear gradient of the nonlinear part of the phase data from the MSS also showed a significant difference (P<0.01) in the gradients of the alert state compared to the fatigue state. The results suggest that MSS can be used in analyzing spontaneous electroencephalography (EEG) signals to detect changes in physiological states. The results have implications for countermeasures used in detecting fatigue.
authors: Rehabilitation Studies Unit, University of Sydney. ranjit@optusnet.com.au
authors: Ranjit A
authors: RA
authors: Thuraisingham
authors: Yvonne
authors: Y
authors: Tran
authors: Ashley
authors: A
authors: Craig
authors: Nirupama
authors: N
authors: Wijesuriya
authors: Hung
authors: H
authors: Nguyen
mesh_terms: D000293:Adolescent; D000328:Adult; D001921:Brain / Q000502:physiology; D004569:Electroencephalography / Q000379:methods*; D005221:Fatigue / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D014851:Wakefulness / Q000502:physiology*; D055815:Young Adult