Abstract
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 language | English |
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Title of host publication | EXPERIMENTAL CHAOS |
Editors | S Boccaletti, BJ Gluckman, J Kurths, LM Pecora, R Meucci, O Yordanov |
Place of Publication | MELVILLE |
Publisher | AMER INST PHYSICS |
Pages | 216-221 |
Number of pages | 6 |
ISBN (Print) | 0-7354-0226-4 |
Publication status | Published - 2004 |
Event | 8th Experimental Chaos Conference - Florence Duration: 14 Jun 2004 → 17 Jun 2004 |
Conference
Conference | 8th Experimental Chaos Conference |
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City | Florence |
Period | 14/06/04 → 17/06/04 |