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EEG feature extraction and selection methods using wavelets and ARMA model for classifying mild epileptic signal patterns

Zervakis Michail, Sakkalis, Vangelis, Μιχελογιάννης Σήφης, Camilleri Kenneth P., Bigan Cristin, Cassar Tracey, Fabri Simon G.

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URI: http://purl.tuc.gr/dl/dias/D1AC264F-6886-44DC-A17F-BC3F540FB7F8
Year 2006
Type of Item Conference Short Paper
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Bibliographic Citation V. Sakkalis, M. Zervakis, C. Bigan, T. Cassar, K. P. Camilleri, S. G. Fabri and S. Micheloyannis, "EEG feature extraction and selection methods using wavelets and ARMA model for classifying mild epileptic signal patterns," presented at Biopattern Brain Workshop, Gotenborg, Sweden, 2006.
Appears in Collections
Conference Publications in Community School of Electrical and Computer Engineering
Conference Publications in Community Digital Image and Signal Processing Laboratory

Summary

Epilepsy is one of the most common brain disorders and may result in brain dysfunction and cognitive disturbances. Epileptic seizures usually begin in childhood and evaluation as well as treatment of these children is of importance. Most of the cases in childhood are not accommodated by brain damage and many drugs produce no brain dysfunction. Thus we decided to examine children with seizures and compare them with controls to evaluate cognitive function in mild epilepsy cases i.e. children with epileptic seizures, without brain damage and under drug control.

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