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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 36, 2019 - Issue 10
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Measuring human alertness from histogram of response time to audio-visual stimuli

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Pages 1447-1453 | Received 20 May 2019, Accepted 26 Jul 2019, Published online: 09 Aug 2019

References

  • Basner M, Dinges DF. 2011. Maximizing sensitivity of the psychomotor vigilance test (pvt) to sleep loss. Sleep. 34(5):581–591.
  • Bermudez EB, Klerman EB, Czeisler CA, Cohen DA, Wyatt JK, Phillips AJK. 2016 03. Prediction of vigilant attention and cognitive performance using self-reported alertness, circadian phase, hours since awakening, and accumulated sleep loss. PLoS One. 11(3):1–18. doi:10.1371/journal.pone.0151770.
  • Garbarino S, Nobili L, Costa G. 2014. Sleepiness and human impact assessment. Milan, Italy: Springer-Verlag Mailand.
  • H¨ormann H-J, Uken T, Voss F-R. 2012. The psychomotor vigilance test - a measure of trait or state? In: Droog A, editor. 30th Conference of the European Association for Aviation Psychology, Villasimius, Italy, 2012 Sep 24–28. p. 13–17. ISBN: 978-0-815253-3-6. Available from: https://elib.dlr.de/79545/
  • He Q, Li W, Fan X, Fei Z. 2016. Evaluation of driver fatigue with multi-indicators based on artificial neural network. IET Intel Transport Syst. 10(8):555–561.
  • Hoddes E. 1971. The history and use of the Stanford sleepiness scale. Psychophysiology. 9:150.
  • Lim J, Dinges DF. 2008. Sleep deprivation and vigilant attention. Ann N Y Acad Sci. 1129(1):305–322.
  • Neshov N, Manolova A. 2017 Sep. Drowsiness monitoring in real-time based on supervised descent method. In 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Bucharest, Romania. Vol. 2. p. 660–663.
  • Sanderson P, Crawford J, Savill A, Watson M, Russell WJ. 2004 Aug. Visual and auditory attention in patient monitoring: a formative analysis. Cognition Technol Work. 6(3):172–185.
  • Silveira CS. 2019. Importance of subject dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions. IET Intel Transport Syst. February;13(8):347–355.
  • Vetter C, Juda M, Roenneberg T. 2012. The influence of internal time, time awake, and sleep duration on cognitive performance in shift workers. Chronobiol Int. 29(8):1127–1138. doi:10.3109/07420528.2012.707999. PMID: 22888791.

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