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

Ranjit A. Thuraisingham; Yvonne Tran; Ashley Craig; Nirupama Wijesuriya; Hung Nguyen

doi:10.1109/IEMBS.2009.5334094

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

Ranjit A. Thuraisingham, Yvonne Tran^*, Ashley Craig, Nirupama Wijesuriya, Hung Nguyen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Engineering the Future of Biomedicine, EMBC 2009
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	4982-4985
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5334094
Publication status	Published - 2009
Externally published	Yes
Event	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009

Conference

Conference	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/Territory	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

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10.1109/IEMBS.2009.5334094

Cite this

Thuraisingham, R. A., Tran, Y., Craig, A., Wijesuriya, N., & Nguyen, H. (2009). Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to the fatigue state. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 4982-4985). Article 5334094 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMBS.2009.5334094

Thuraisingham, Ranjit A. ; Tran, Yvonne ; Craig, Ashley et al. / Using microstate intensity for the analysis of spontaneous EEG : tracking changes from alert to the fatigue state. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE), 2009. pp. 4982-4985

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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.",

author = "Thuraisingham, {Ranjit A.} and Yvonne Tran and Ashley Craig and Nirupama Wijesuriya and Hung Nguyen",

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Thuraisingham, RA, Tran, Y, Craig, A, Wijesuriya, N & Nguyen, H 2009, Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to the fatigue state. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5334094, Institute of Electrical and Electronics Engineers (IEEE), pp. 4982-4985, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5334094

Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to the fatigue state. / Thuraisingham, Ranjit A.; Tran, Yvonne; Craig, Ashley et al.
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 4982-4985 5334094.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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Thuraisingham RA, Tran Y, Craig A, Wijesuriya N, Nguyen H. Using microstate intensity for the analysis of spontaneous EEG: tracking changes from alert to the fatigue state. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE). 2009. p. 4982-4985. 5334094 doi: 10.1109/IEMBS.2009.5334094

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

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