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  Implicit Wiener Series Analysis of Epileptic Seizure Recordings

Barbero Jimenez, A., Franz, M., Drongelen WV, Dorronsoro JR, Schölkopf, B., & Grosse-Wentrup, M. (2009). Implicit Wiener Series Analysis of Epileptic Seizure Recordings. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), 5304-5307.

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Barbero Jimenez, A1, Autor           
Franz, MO1, Autor           
Drongelen WV, Dorronsoro JR, Schölkopf, B1, Autor           
Grosse-Wentrup, M1, Autor           
Kim, Herausgeber
Y., Herausgeber
He, B., Herausgeber
Worrell, G., Herausgeber
Pan, X., Herausgeber
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Zusammenfassung: Implicit Wiener series are a powerful tool to build Volterra representations of time series with any degree of nonlinearity. A natural question is then whether higher order representations yield more useful models. In this work we shall study this question for ECoG data channel relationships in epileptic seizure recordings, considering whether quadratic representations yield more accurate classifiers than linear ones. To do so we first show how to derive statistical information on the Volterra coefficient distribution and how to construct seizure classification patterns over that information. As our results illustrate, a quadratic model seems to provide no advantages over a linear one. Nevertheless, we shall also show that the interpretability of the implicit Wiener series provides insights into the inter-channel relationships of the recordings.

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 Datum: 2009-09
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: URI: http://www.embc09.org/
DOI: 10.1109/IEMBS.2009.5333080
BibTex Citekey: 5967
 Art des Abschluß: -

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Titel: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Veranstaltungsort: Minneapolis, MN, USA
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Titel: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ, USA : IEEE Service Center
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 5304 - 5307 Identifikator: -