A. Ovtchinnikov, A. E. Khramov, A. Luttjehann, A. A. Koronovskii, G. van Luijtelaar, “Method for diagnostics of characteristic patterns of observable time series and its real-time experimental implementation for neurophysiological signals”, Zhurnal Tekhnicheskoi Fiziki, 2011, Volume 81, Issue 1,Pages <nobr>3

This article is cited in 13 papers

Theoretical and Mathematical Physics

Method for diagnostics of characteristic patterns of observable time series and its real-time experimental implementation for neurophysiological signals

A. Ovtchinnikov^a, A. E. Khramov^a, A. Luttjehann^b, A. A. Koronovskii^a, G. van Luijtelaar^b

^a Saratov State University
^b Donders Center for Cognition, Radboud University Nijmegen, Nijmegen, The Netherland

Abstract: A method is proposed for analysis and automatic diagnostics of characteristic oscillatory patterns of the electric activity of the brain in real time on the basis of a continuous wavelet transformation. The results of experimental investigation of automatic recognition of epileptic activity episodes on experimental animals based on the proposed approach are considered.

Received: 24.12.2009
Accepted: 06.05.2010