Nonlinear EEG analysis in epilepsy: from basic research to clinical applications

Author

Lehnertz, Klaus

Author_Institution

Dept. of Epileptology, Bonn Univ. Med. Center, Germany

Volume

1

fYear

2002

fDate

2002

Firstpage

25

Abstract

Nonlinear time series analyses of EEG recordings from epilepsy patients provide new insight into the spatio-temporal dynamics of the epileptogenic process. This overview presents a number of applications indicating that nonlinear EEG analysis allows to improve the diagnostics of the dynamical disease epilepsy as well as the understanding of basic mechanisms. Particularly, the definition and detection of a specific state predictive of an impending seizure offers a basis for the development of new therapy concepts for seizure prevention.

Keywords

electroencephalography; medical signal processing; reviews; time series; basic mechanisms understanding; dynamical disease epilepsy; electrodiagnostics; epileptogenic process; new therapy concepts; seizure prevention; spatio-temporal dynamics; specific state predictive; Character generation; Drugs; Electric variables measurement; Electroencephalography; Epilepsy; Medical treatment; Neuroimaging; Particle measurements; Surgery; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134353

Filename

1134353