Comparison of Methods for Seizure Detection View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003

AUTHORS

K. K. Jerger , T. I. Netoff , J. T. Francis , T. Sauer , L. Pecora , S. L. Weinstein , S. J. Schiff

ABSTRACT

Whether epileptic seizures can be predicted by quantitative analysis methods applied to EEG has been a focus of much recent interest [740,751,752]. This resurgence of interest has been motivated by several factors, including the proliferation of powerful new methods for analyzing nonlinear system dynamics, as well as interest in developing epilepsy-control devices. Nevertheless, attempts to detect seizures automatically from EEG are not new, and older linear analysis methods showed promise nearly twenty years ago [753,754]. More... »

PAGES

237-247

Book

TITLE

Epilepsy as a Dynamic Disease

ISBN

978-3-642-07665-7
978-3-662-05048-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-05048-4_13

DOI

http://dx.doi.org/10.1007/978-3-662-05048-4_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046917038


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