Using S-transform in EEG analysis for measuring an alert versus mental fatigue state
- Publication Type:
- Conference Proceeding
- Citation:
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014, pp. 5880 - 5883
- Issue Date:
- 2014-11-02
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
 | Tran Thuraisingham Wijesuriya Craig Nguyen 2014.pdf | Published version | 612.78 kB |
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© 2014 IEEE. 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.
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