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Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients
 

Summary: Automated detection of a preseizure state based on a decrease in synchronization in intracranial
electroencephalogram recordings from epilepsy patients
Florian Mormann,1,2,
* Ralph G. Andrzejak,3
Thomas Kreuz,1,3
Christoph Rieke,1,2
Peter David,2
Christian E. Elger,1
and Klaus Lehnertz1
1
Department of Epileptology, University of Bonn, Sigmund-Freud-Straße 25, 53105 Bonn, Germany
2
Helmholtz-Institut fu¨r Strahlen- und Kernphysik, University of Bonn, Nußallee 14-16, 53115 Bonn, Germany
3
John-von-Neumann Institute for Computing, Forschungszentrum Ju¨lich, 52425 Ju¨lich, Germany
Received 30 August 2002; published 26 February 2003
The question whether information extracted from the electroencephalogram EEG of epilepsy patients can
be used for the prediction of seizures has recently attracted much attention. Several studies have reported
evidence for the existence of a preseizure state that can be detected using different measures derived from the
theory of dynamical systems. Most of these studies, however, have neglected to sufficiently investigate the

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra

 

Collections: Computer Technologies and Information Sciences