Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task

Y. Tran; N. Wijesuryia; R. A. Thuraisingham; A. Craig; H. T. Nguyen

doi:10.1109/IEMBS.2008.4649351

Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task

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

^*Corresponding author for this work

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

15 Citations (Scopus)

Abstract

Driver fatigue is a prevalent problem and a major risk for road safety accounting for approximately 20-40% of all motor vehicle accidents. One strategy to prevent fatigue related accidents is through the use of countermeasure devices. Research on countermeasure devices has focused on methods that detect physiological changes from fatigue, with the fast temporal resolution from brain signals, using the electroencephalogram (EEG) held as a promising technique. This paper presents the results of nonlinear analysis using sample entropy and second-order difference plots quantified by central tendency measure (CTM) on alert and fatigue EEG signals from a driving simulated task. Results show that both sample entropy and second-order difference plots significantly increases the regularity and decreases the variability of EEG signals from an alert to a fatigue state.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1096-1099
Number of pages	4
ISBN (Print)	9781424418152, 9781424418145
DOIs	https://doi.org/10.1109/IEMBS.2008.4649351
Publication status	Published - 2008
Externally published	Yes
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: 20 Aug 2008 → 25 Aug 2008

Conference

Conference	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	20/08/08 → 25/08/08

Keywords

Central tendency measure (CTM)
Countermeasure
Driver fatigue
Electroencephalography (EEG)
Fatigue
Nonlinear analysis
Sample entropy
Second-order difference plot

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10.1109/IEMBS.2008.4649351

Cite this

Tran, Y., Wijesuryia, N., Thuraisingham, R. A., Craig, A., & Nguyen, H. T. (2008). Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 1096-1099). Article 4649351 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMBS.2008.4649351

Tran, Y. ; Wijesuryia, N. ; Thuraisingham, R. A. et al. / Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. Institute of Electrical and Electronics Engineers (IEEE), 2008. pp. 1096-1099

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title = "Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task",

abstract = "Driver fatigue is a prevalent problem and a major risk for road safety accounting for approximately 20-40\% of all motor vehicle accidents. One strategy to prevent fatigue related accidents is through the use of countermeasure devices. Research on countermeasure devices has focused on methods that detect physiological changes from fatigue, with the fast temporal resolution from brain signals, using the electroencephalogram (EEG) held as a promising technique. This paper presents the results of nonlinear analysis using sample entropy and second-order difference plots quantified by central tendency measure (CTM) on alert and fatigue EEG signals from a driving simulated task. Results show that both sample entropy and second-order difference plots significantly increases the regularity and decreases the variability of EEG signals from an alert to a fatigue state.",

keywords = "Central tendency measure (CTM), Countermeasure, Driver fatigue, Electroencephalography (EEG), Fatigue, Nonlinear analysis, Sample entropy, Second-order difference plot",

author = "Y. Tran and N. Wijesuryia and Thuraisingham, \{R. A.\} and A. Craig and Nguyen, \{H. T.\}",

year = "2008",

doi = "10.1109/IEMBS.2008.4649351",

language = "English",

isbn = "9781424418152",

pages = "1096--1099",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

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Tran, Y, Wijesuryia, N, Thuraisingham, RA, Craig, A & Nguyen, HT 2008, Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4649351, Institute of Electrical and Electronics Engineers (IEEE), pp. 1096-1099, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 20/08/08. https://doi.org/10.1109/IEMBS.2008.4649351

Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task. / Tran, Y.; Wijesuryia, N.; Thuraisingham, R. A. et al.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 1096-1099 4649351.

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

TY - GEN

T1 - Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task

AU - Tran, Y.

AU - Wijesuryia, N.

AU - Thuraisingham, R. A.

AU - Craig, A.

AU - Nguyen, H. T.

PY - 2008

Y1 - 2008

N2 - Driver fatigue is a prevalent problem and a major risk for road safety accounting for approximately 20-40% of all motor vehicle accidents. One strategy to prevent fatigue related accidents is through the use of countermeasure devices. Research on countermeasure devices has focused on methods that detect physiological changes from fatigue, with the fast temporal resolution from brain signals, using the electroencephalogram (EEG) held as a promising technique. This paper presents the results of nonlinear analysis using sample entropy and second-order difference plots quantified by central tendency measure (CTM) on alert and fatigue EEG signals from a driving simulated task. Results show that both sample entropy and second-order difference plots significantly increases the regularity and decreases the variability of EEG signals from an alert to a fatigue state.

AB - Driver fatigue is a prevalent problem and a major risk for road safety accounting for approximately 20-40% of all motor vehicle accidents. One strategy to prevent fatigue related accidents is through the use of countermeasure devices. Research on countermeasure devices has focused on methods that detect physiological changes from fatigue, with the fast temporal resolution from brain signals, using the electroencephalogram (EEG) held as a promising technique. This paper presents the results of nonlinear analysis using sample entropy and second-order difference plots quantified by central tendency measure (CTM) on alert and fatigue EEG signals from a driving simulated task. Results show that both sample entropy and second-order difference plots significantly increases the regularity and decreases the variability of EEG signals from an alert to a fatigue state.

KW - Central tendency measure (CTM)

KW - Countermeasure

KW - Driver fatigue

KW - Electroencephalography (EEG)

KW - Fatigue

KW - Nonlinear analysis

KW - Sample entropy

KW - Second-order difference plot

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DO - 10.1109/IEMBS.2008.4649351

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EP - 1099

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 20 August 2008 through 25 August 2008

ER -

Tran Y, Wijesuryia N, Thuraisingham RA, Craig A, Nguyen HT. Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. Institute of Electrical and Electronics Engineers (IEEE). 2008. p. 1096-1099. 4649351 doi: 10.1109/IEMBS.2008.4649351

Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task

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Keywords

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