Nonlinear dynamics in EEG from epileptic patients: Is it possible to predict seizures?

A Winterhalder, B Schelter, T Maiwald, R Aschenbrenner-Scheibe, A Brandt, A Schulze-Bonhaget, J Timmer

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


Several concepts and analysis techniques originating from Nonlinear Dynamics have been applied to electroencephalography recordings of epilepsy patients to predict seizures. An early prediction of an upcoming seizure would dramatically increase the therapeutic possibilities for this common neurological disease. We suggest standards to assess seizure prediction performance of time series analysis techniques. We present assessment of three methods originating from Nonlinear Dynamics with respect to their ability in predicting epileptic seizures.

Original languageEnglish
Title of host publicationEXPERIMENTAL CHAOS
EditorsS Boccaletti, BJ Gluckman, J Kurths, LM Pecora, R Meucci, O Yordanov
Place of PublicationMELVILLE
Number of pages6
ISBN (Print)0-7354-0226-4
Publication statusPublished - 2004
Event8th Experimental Chaos Conference - Florence
Duration: 14 Jun 200417 Jun 2004


Conference8th Experimental Chaos Conference


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