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Reseach Article
A Novel Approach for the Detection of Drunken Driving using the Power Spectral Density Analysis of EEG
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 21 - Number 7 |
| Year of Publication: 2011 |
| Authors: E.Malar, M.Gauthaam, D.Chakravarthy |
10.5120/2525-3436
|
E.Malar, M.Gauthaam, D.Chakravarthy . A Novel Approach for the Detection of Drunken Driving using the Power Spectral Density Analysis of EEG. International Journal of Computer Applications. 21, 7 ( May 2011), 10-14. DOI=10.5120/2525-3436
Abstract
In today’s scenario, more and more people are required to travel back and forth to various places. With the increasing vehicular population and their movements on the roads, accidents are also steadily increasing. It has become a nightmare for the authorities to prevent /reduce such fatal accidents on the roads. But the authorities’ efforts are in vain. It is shocking to know the study results that around 50% of the road accidents are owing to drunken driving all over the world[1][2]. Any mechanism or device to reduce such deaths will be of great help. Drunken driving and its subsequent catastrophe can be avoided by monitoring the EEG of the driver. The power of the EEG signal in frontal region decreases with the increase in the amount of alcohol intake, and the power of the EEG signal in central, occipital region increases. Therefore, power spectral density can be used as a parameter to differentiate EEG of alcoholic from non- alcoholic, thereby reducing drunken driving. Results are presented to support this approach.
References
- Philip, P. Vervialle, F. Le Breton, P. Taillard, J. Horne, J.A. 2001. Fatigue, alcohol, and serious road crashes in France: factorial study of national data. BMJ. 322:829–30.
- Connor, J. Norton, R. Ameratunga, S., et al. 2002. Driver sleepiness and risk of serious injury to car occupants: population based case-control study. BMJ. 324:1125-8.
- Horne, J.A., Reyner, L.A.1995. Sleep related vehicle accidents. BMJ. 310,565–7.
- Banks, S. Catcheside, P. Lack, L. Grunstein, R.R. McEvoy, R.D. 2004. Low levels of alcohol impair driving simulator performance and reduce perception of crash risk in partially sleep deprived subjects. Sleep. 27,1063–7.
- AshkanYazdani, S. Kamaledin Setarehdan. Classification of EEG signal correlated with alcohol abusers. Control and Intelligent Processing Centre of Excellence, School of ECE, Faculty of Engineering, University of Tehran, Iran.ISBN-1-4244-0779-6/07-2007.
- Zhong, S. and Ghosh, J. 2002.HMMs and coupled HMMs for multichannel EEG classification. Proc. IEEE Int. Joint Conf. on Neural Networks, Honolulu, Hawaii.1154-1159.
- Welch, P.D. 1967.The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging Over Short, Modified Periodogram. IEEE Trans. Audio & Electroacoust.15, 70–73.
- Vadim, V. Nikulin, Anna, V. Nikulina, Hidehisa yamashita. 2005. Effects of alcohol on spontaneous neuronal oscillations: A combined magneto encephalography and electroencephalography study. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 19, 687-693.
- X. L. Zhang, H. Begleiter, B. Porjesz, and A. Litke. 1997.Electrophysiological evidence of memory Impairment in alcoholic patients. Biological Psychiatry. 42,1157-1171
- Ge Zhexue, Chen Zhongsheng. 2006.Application of Time-Frequency Analysis based on Matlab. Beijing: Posts & Telecom Press.
- Su Jinming, Zhang Lianhua, Liu Bo, "The Application of MA TLAB Toolboxes," Beijing: Publishing House of Electronics Industry, 2004.
- S. V. Borisov, A. Ya. Kaplan, N. L. Gorbachevskaya, and I. A.Kozlova. 2005.Analysis of EEG Structural Synchrony in Adolescents with Schizophrenic Disorders. Human Physiology. 31, 255–261.
- Lukas, S.E. Mendelson J.H. Benedict, R.A. Jones, B .1986. EEG alpha activity increases during transient episodes of ethanol-induced euphoria. Pharmacol Biochem. Behav. 25, 889–895.
- M. Treisman.1984.Temporal rhythms and cerebral rhythms. In Timing and Time Perception, J. Gibbon and L. Allan, Eds. New York.423, 542–565.
- J. Beatty, A. Greenberg, W. P. Deibler, and J. O’Hanlon, 1974. Operant control of occipital theta rhythm affects performance, in a radar monitoring task. Science.183, 871–873.
- S. Makeig and M. Inlow.1993.Lapses in alertness: Coherence of fluctuations in performance and EEG spectrum. Electroencephalography Clinical Neurophysiology.86, 23–35.
- Rangaswamy, M. Porjesz, B. Chorlian, D.B. Wang, K. Jones, K.A. Bauer, L.O. Rohrbaugh, J. O'Connor, S.J. Kuperman, S. Reich, T. Begleiter, H. 2002.Beta power in the EEG of alcoholics. Biol. Psychiatry 52, 831-842.
- Engel, G.L. Rosenbaum, M. 1944. Studies of the elctroencephalogram in acute alcoholic intoxication. Proc. Cent. Soc. Clin. Res.17, 62-63.
- Davis, P.A. Gibbs, F.A. Davis, H. Jetter, W.W. Trowbridge, I.S.1941. The effects of alcohol upon the electroencephalogram (brian waves).Q. J. Stud. Alcohol. 1, 626-637.
- Ehlers, C.L. Wall, T.L. Schuckit, M.A.1989. EEG spectral characteristics following ethanol administration in young men. Electroencephalogr. Clin. Neurophysiol. 73, 179-187.
- Slawecki, C.J. Bentancourt, M. Li, T.K. Ehlers, C.L. 2000.Neurophysiological findings and drinking levels in high-alcohol-drinking (HAD) and low-alcohol-drinking (LAD) rats. Alcsm. Clin. Exp. Res. 24, 1492-1499.
- Pollock, V.E. Schneider, L. Lyness, S.1992. Reliability of topographic quantitative EEG amplitudes in healthy, late middle-aged and elderly adults. Electroencephalography Clin. Neurophysiology. 79, 20-26.
- Saletu, B. 1997.Visualizing the living human brian. The techniques and promise of EEG and event-related potentials mapping. Bibl. Psychiatr.167, 54-62.
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