Identification of epileptiform patterns in electroencephalogram

Anton O. Popov; Volodymyr O. Fesechko; Alexey M. Kanaykin

doi:10.1117/12.674970

26 April 2006 Identification of epileptiform patterns in electroencephalogram

Anton O. Popov, Volodymyr O. Fesechko, Alexey M. Kanaykin

Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61594H (2006) https://doi.org/10.1117/12.674970
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland

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.

Citation Download Citation

Anton O. Popov, Volodymyr O. Fesechko, and Alexey M. Kanaykin "Identification of epileptiform patterns in electroencephalogram", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61594H (26 April 2006); https://doi.org/10.1117/12.674970

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KEYWORDS

Electroencephalography

Diagnostics

Signal to noise ratio

Visualization

Visual analytics

Pattern recognition

Brain

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