Detecting neural changes during stress and fatigue effectively

a comparison of spectral analysis and sample entropy

Y. Tran*, R. A. Thuraisingham, N. Wijesuriya, H. T. Nguyen, A. Craig

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

29 Citations (Scopus)

Abstract

Brain computer interface (BCI) technology as Its name implies, relies upon decoding brain signals into operational commands. Aside from needing effective means of control, successful BCIs need to remain stable in varying physiological conditions. BCIs need to be developed with mechanisms to recognise and respond to physiological states (such as stress and fatigue) that can disrupt user capability. This paper compares a spectral analysis of EEG signals technique with a nonlinear method of sample entropy to detect changes In brain dynamics during moments of stress and fatigue. The results demonstrated few changes In the spectral frequency bands of the EEG during fatigue and stress conditions. However, when the EEG signals were analysed with the nonlinear technique of sample entropy the results indicated a reduction of complexity during moments of fatigue and stress and an increase In complexity during moments of engagement to the task.

Original languageEnglish
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages350-353
Number of pages4
ISBN (Print)1424407923, 9781424407927
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: 2 May 20075 May 2007

Conference

Conference3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period2/05/075/05/07

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  • Cite this

    Tran, Y., Thuraisingham, R. A., Wijesuriya, N., Nguyen, H. T., & Craig, A. (2007). Detecting neural changes during stress and fatigue effectively: a comparison of spectral analysis and sample entropy. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 350-353). [4227287] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CNE.2007.369682