Abstract
The application of Artificial Neural Networks (ANN) to electroencephalographic (EEG) signal classification is presented. Initially, the power spectrum and coherence “reactivity” parameters are extracted from the EEG signals in order to provide the inputs to the ANNs. In addition, traditional statistical and classification methods are utilized to improve the accuracy of the ANN classifiers. Various ANN experiments are performed and their results are discussed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
W. Freeman Analytic Techniques Used in the Search for the Physiological Basis of the EEG, Methods of Analysis of Brain Electrical and Magnetic Signals. EEG Handbook (revised series Vol. 1), A.S. Gevins and A. Remond (Eds), 1987.
G. Dumermuth and L. Molinari Spectral Analysis of the EEG, Neuropsychobiology, Vol. 17, 1987.
M. Nuwer Quantitative EEG I + II, Journal of Clinical Neurophysiology, Vol. 5, 1988.
S. Metric and R. Brenner, Abnormal brainstem auditory evoked potentials in chronic paint sniffers, Annals of Neurology, Vol. 16, 1982.
A. Seppaiainen, Neurophysiological findings among workers exposed to organic solvents, Scandinavian Journal of Work and Environmental Health, Vol. 7, 1981.
A. Seppaiainen, Neurophysiological aspects of the toxisity of organic solvents, Scandinavian Journal of Work and Environmental Health, Vol. 11, 1985.
S. Micheloyannis, N. Paritsis and P. Trikas, EEG Coherence during hemispheric activation in schizophrenics, European Archives of Psychiatry and Clinical Neuroscience, in press.
W. Mendenhall Introduction to Probability and Statistics, Duxbury Press, 1979.
G. Bebis, G. Papadourakis and M. Georgiopoulos Back Propagation: Increasing Rate of Convergence by Predictable Pattern Loading, Intelligent Systems Review, vol. 1, No 3, 1989.
G. Dumetmuth and L. Molinari, Spectral analysis of EEG Background activity, EEG Handbook: Methods of Analysis of Brain Electrical and Magnetic Signals, Elsevier Science Publishers, 1987.
D. Touretzky and D. Pomerleau What’s Hidden in the Hidden Layers ?, Byte Magazine, August 1989.
D. E. Rumelhart, J. L. McClelland, and the PDP Research Group. “Parallel Distributed Processing (PDP), Explorations in the Microstructure of Cognition, Volume 1: Foundations. MIT Press, Cambridge, Massachusetts, 1986.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Papadourakis, G.M., Micheloyannis, S., Bebis, G., Giachnakis, M. (1991). EEG Signal Classification Using Neural Networks. In: Tzafestas, S.G. (eds) Engineering Systems with Intelligence. Microprocessor-Based and Intelligent Systems Engineering, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2560-4_26
Download citation
DOI: https://doi.org/10.1007/978-94-011-2560-4_26
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5130-9
Online ISBN: 978-94-011-2560-4
eBook Packages: Springer Book Archive