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  Implicit Wiener Series Analysis of Epileptic Seizure Recordings

Barbero Jimenez, A., Franz, M., Drongelen, W., Dorronsoro, J., Schölkopf, B., & Grosse-Wentrup, M. (2009). Implicit Wiener Series Analysis of Epileptic Seizure Recordings. In Y. Kim, B. He, & X. Pan (Eds.), 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 5304-5307). Piscataway, NJ, USA: IEEE Service Center.

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 Creators:
Barbero Jimenez, A, Author           
Franz, MO, Author           
Drongelen, WV, Author
Dorronsoro, JR, Author
Schölkopf, B1, 2, Author           
Grosse-Wentrup, M1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: 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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 Dates: 2009-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/IEMBS.2009.5333080
BibTex Citekey: 5967
 Degree: -

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Title: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2009)
Place of Event: Minneapolis, MN, USA
Start-/End Date: 2009-09-03 - 2009-09-06

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Title: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Source Genre: Proceedings
 Creator(s):
Kim, Y, Editor
He, B, Editor
Worrell, G, Painter
Pan, X, Editor
Affiliations:
-
Publ. Info: Piscataway, NJ, USA : IEEE Service Center
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 5304 - 5307 Identifier: ISBN: 978-1-4244-3296-7