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Automatic seizure detection based on the activity of a set of current dipoles: first steps.
Gritsch, G; Hartmann, M; Perko, H; Fürbaß, F; Kluge, T.
Afiliación
  • Gritsch G; Austrian Institute of Technology, Donau-City-Strasse 1, 1220 Vienna, Austria. gerhard.gritsch@ait.ac.at
Article en En | MEDLINE | ID: mdl-23366519
In this paper we show advantages of using an advanced montage scheme with respect to the performance of automatic seizure detection systems. The main goal is to find the best performing montage scheme for our automatic seizure detection system. The new virtual montage is a fix set of dipoles within the brain. The current density signals for these dipoles are derived from the scalp EEG signals based on a smart linear transformation. The reason for testing an alternative approach is that traditional montages (reference, bipolar) have some limitations, e.g. the detection performance depends on the choice of the reference electrode and an extraction of spatial information is often demanding. In this paper we explain the detailed setup of how to adapt a modern seizure detection system to use current density signals. Furthermore, we show results concerning the detection performance of different montage schemes and their combination.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Convulsiones Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2012 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Convulsiones Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Annu Int Conf IEEE Eng Med Biol Soc Año: 2012 Tipo del documento: Article País de afiliación: Austria
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