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Proceedings Paper

Identification of epileptiform patterns in electroencephalogram
Author(s): Anton O. Popov; Volodymyr O. Fesechko; Alexey M. Kanaykin
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Paper Abstract

The paper concerns the analysis of electroencephalogram (EEG) signals with the purpose of revealing particular waveforms in the signal - the epileptiform oscillation's complexes, which are of great importance in epileptology. We consider the pattern recognition as equivalent to EEG visual analysis and advance the template matching approach to the identification of the complexes in the signal. New type of epileptiform oscillation's complexes' template consists of generic complex and parameters of its deformations. The methodology of constructing these templates is proposed. Direct applicabilty of the proposed template creating methodology to adaptive classification of EEG complexes is highlighted. The performance of the template is evaluated with simulated and real EEG data. Experimental application of the template resulted in correct identification of 62 of 81 epileptiform oscillation's complexes from the sample signals with moderated number of false positive identifications.

Paper Details

Date Published: 26 April 2006
PDF: 10 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61594H (26 April 2006); doi: 10.1117/12.674970
Show Author Affiliations
Anton O. Popov, National Technical Univ. of Ukraine (Ukraine)
Volodymyr O. Fesechko, National Technical Univ. of Ukraine (Ukraine)
Alexey M. Kanaykin, Romodanov Institute of Neurosurgery of Ukraine (Ukraine)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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