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Comparison of Methods for Seizure Detection

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Epilepsy as a Dynamic Disease

Part of the book series: Biological and Medical Physics Series ((BIOMEDICAL))

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].

Research was supported by grants from the National Institutes of Health and the Whitaker Foundation.

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© 2003 Springer-Verlag Berlin Heidelberg

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Jerger, K.K. et al. (2003). Comparison of Methods for Seizure Detection. In: Milton, J., Jung, P. (eds) Epilepsy as a Dynamic Disease. Biological and Medical Physics Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05048-4_13

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  • DOI: https://doi.org/10.1007/978-3-662-05048-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07665-7

  • Online ISBN: 978-3-662-05048-4

  • eBook Packages: Springer Book Archive

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