Computational Methods for Epilepsy Diagnosis: Visual Perception and EEG

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Other

Abstract

This paper describes a preliminary algorithm for automated epilepsy diagnosis using visual perception tests and digital electroencephalograph data analysis. A special machine learning algorithm and signal processing methods are used. The algorithm is tested on data of epileptic and healthy persons that are treated in the Neurology Clinic, Kaunas University of Medicine, Lithuania. Detailed examination of the results shows that visual perception testing and automated EEG data analysis could be used for epilepsy diagnosing.
Original languageEnglish
Title of host publicationOptimization and Industry
Subtitle of host publicationNew Frontiers
EditorsPanos M. Pardalos, Victor Korotkikh
Place of PublicationBoston USA
PublisherKluwer Academic Publishers
Chapter11
Pages259-280
Number of pages99
Edition78
ISBN (Electronic) 9781461302339
ISBN (Print)9781461379539
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameApplied Optimization
PublisherSpringer
Volume78

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