Abstract
An application of Neural Networks (NN) to brain maturation prediction is presented. The problem consists of, given a pattern extracted from electroencephalographic (EEG) signals, state the degree of brain development (low or normal/high). To that end, a population of subjects with their EEG assessed by a neurologist is available. A Backpropagation (BP) neural network is used for this supervised classification task, and a comparison with standard statistical classifiers is made. The effect on performance of several preprocessing techniques such as Principal Components Analysis (PCA), normalization and scaling is investigated. It is found better performance in the NN approach, both in terms of efficiency and consistency.
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References
E.R. John et al., ‘Validity, Utility and Limitations of Neurometric Evaluations in Children’, in ‘Event-Related Potentials in Children’, A. Rothenberger (Ed.), Elsevier Biomedical Press, 1982.
C. Chatfield, A.J. Collins, ‘Introduction to Multivariate Analysis’, Chapman and Hall, 1980.
L. Moreno, J.L. Sánchez, L. Acosta, J.D. Pineiro, J.L. Ichaso, S. Mañas, ‘Multichannel Digital Processing for EEG Analysis’, Proc. IASTED Int. Symp. on Circuits and Systems, Zurich 1991.
L. Moreno, J.L. Sánchez, S. Mañas, J. D. Piñeiro, L. Acosta, A. Hamilton, ‘Multivariate Analysis and Mapping of EEG’, 6th European Congress of Clinical Neurophysiology, Lisbon 1992.
D.E. Rumelhart, J.L. McClelland and PDP Research Group, ‘Parallel Distributed Processing’, vol. 1. Cambridge, MA: MIT Press, 1988.
S.S. Rao, ‘Optimization Theory and Applications’, 2nd. Edition, Wiley Eastern Limited, 1984.
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© 1993 Springer-Verlag/Wien
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Moreno, L. et al. (1993). Application of Neural Networks to Automated Brain Maturation Study. In: Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7533-0_20
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DOI: https://doi.org/10.1007/978-3-7091-7533-0_20
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82459-7
Online ISBN: 978-3-7091-7533-0
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