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Estimating alertness from the EEG power spectrum
Abstract
In tasks requiring sustained attention, human alertness varies on a minute time scale. This can have serious consequences in occupations ranging from air traffic control to monitoring of nuclear power plants. Changes in the electroencephalographic (EEG) power spectrum accompany these fluctuations in the level of alertness, as assessed by measuring simultaneous changes in EEG and performance on an auditory monitoring task. By combining power spectrum estimation, principal component analysis and artificial neural networks, we show that continuous, accurate, noninvasive, and near real-time estimation of an operator's global level of alertness is feasible using EEG measures recorded from as few as two central scalp sites. This demonstration could lead to a practical system for noninvasive monitoring of the cognitive state of human operators in attention-critical settings.
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Citations
Cited by
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Lim, J., & Dinges, D. F. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.002 · Cited by 1,213
Vigilance, alertness, or sustained attention: physiological basis and measurement
Oken, B. S., Salinsky, M. C., & Elsas, S. M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.01.017 · Cited by 887
Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans
Murphy, P. R., Robertson, I. H., Balsters, J. H., & O'connell, R. G. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01226.x · Cited by 519
Psychobiology of Altered States of Consciousness.
Vaitl, D., Birbaumer, N., Gruzelier, J., Jamieson, G. A., Kotchoubey, B., Kübler, A., Lehmann, D., Miltner, W. H. R., Ott, U., Pütz, P., et al. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.1.98 · Cited by 448
Metadata
- Authors
- Jung, T.-P., Makeig, S., Stensmo, M., & Sejnowski, T. J.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1997
- Volume
- 44
- Issue
- 1
- Pages
- 60-69
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2056108528
- Cited by
- 480
- References
- 0
- FWCI
- 2.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jung, T.-P., Makeig, S., Stensmo, M., & Sejnowski, T. J. (1997). Estimating alertness from the EEG power spectrum. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.553713
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
