Header logo is ei

Implicit Wiener Series Analysis of Epileptic Seizure Recordings

2009

Conference Paper

ei


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.

Author(s): Barbero, A. and Franz, MO. and Drongelen, WV. and Dorronsoro, JR. and Schölkopf, B. and Grosse-Wentrup, M.
Book Title: EMBC 2009
Journal: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)
Pages: 5304-5307
Year: 2009
Month: September
Day: 0
Editors: Y Kim and B He and G Worrell and X Pan
Publisher: IEEE Service Center

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

Address: Piscataway, NJ, USA
Digital: 0
DOI: 10.1109/IEMBS.2009.5333080
Event Name: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Event Place: Minneapolis, MN, USA
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF
Web

BibTex

@inproceedings{5967,
  title = {Implicit Wiener Series Analysis of Epileptic Seizure Recordings},
  author = {Barbero, A. and Franz, MO. and Drongelen, WV. and Dorronsoro, JR. and Sch{\"o}lkopf, B. and Grosse-Wentrup, M.},
  journal = {Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009)},
  booktitle = {EMBC 2009},
  pages = {5304-5307},
  editors = {Y Kim and B He and G Worrell and X Pan},
  publisher = {IEEE Service Center},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Piscataway, NJ, USA},
  month = sep,
  year = {2009},
  month_numeric = {9}
}