Konferenční příspěvek

Tichavský P., Nielsen J., Krajča V.

Proceedings of Analysis of Biomedical Signals and Images. BIOSIGNAL 2006. (Jan J., Kozumplík J., Provazník I. eds.).

University of Technology

Brno

2006

166-168

80-214-3152-0

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

electroencephalogram, blind source separation

Identification of Epileptic Activity in Electroencephalograms Using Four Techniques of Independent Component Analysis. [file]

The presented study aims to evaluate possibility of separation of epileptic activity from the EEG data using two well known and two recently proposed algorithms for independent component analysis (ICA): FastICA, EFICA, SOBI and WASOBI. All these techniques are shown to allow to concentrate an epileptic activityin two epilepsy-related independent components out of 19 channel EEG recordings. Among the techniques, the WASOBI was shown to be a most effective one.