Seizure onset zone detection and localization in iEEG using DTF

Author

Janca, R. ; Jezdik, P. ; Cmejla, R. ; Glajcar, R. ; Krsek, P. ; Jahodova, A.

Author_Institution

Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic

fYear

2011

fDate

30-31 May 2011

Firstpage

93

Lastpage

97

Abstract

This paper presents the possibility of early detection and localization of epileptogenic focus in the iEEG (intracranial Electroencephalography) signal using a method based on multidimensional autoregressive models. The work provides the first results of the method in the iEEG signal, and discusses technical aspects in terms of the suitability of the sampling frequency, AR model order and segmentation step.

Keywords

electroencephalography; medical signal detection; medical signal processing; neurophysiology; regression analysis; AR model order; DTF; epileptogenic focus early detection; epileptogenic focus localization; iEEG; intracranial electroencephalography signal; multidimensional autoregressive models; sampling frequency; segmentation step; seizure onset zone detection; Band pass filters; Brain models; Electroencephalography; Finite impulse response filter; Mathematical model; Support vector machine classification; AR model order; DTF; SOZ; iEEG;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on

Conference_Location

Bari

Print_ISBN

978-1-4244-9336-4

Type

conf

DOI

10.1109/MeMeA.2011.5966683

Filename

5966683