Citation

Thuraisingham RA, Tran Y, Craig A, Wijesuriya N, Nguyen H. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009; 1: 4982-4985.

Affiliation

Rehabilitation Studies Unit, University of Sydney.

Copyright

(Copyright © 2009, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/IEMBS.2009.5334094

PMID

19964657

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.

Language: en