Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to fatigue state

Publication Type:
Conference Proceeding
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, pp. 4982 - 4985
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009001886.pdf206.06 kB
Adobe PDF
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.
Please use this identifier to cite or link to this item: