Seizure Prediction in Epilepsy: From Circadian Concepts via Probabilistic Forecasting to Statistical Evaluation

Bjoern Schelter, Hinnerk Feldwisch-Drentrup, Matthias Ihle, Andreas Schulze-Bonhage, Jens Timmer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Seizure prediction performance is hampered by high numbers of false predictions. Here we present an approach to reduce the number of false predictions based on circadian concepts. Based on eight representative patients we demonstrate that this approach increases the performance considerably. The fraction of patients for whom we found a significant seizure prediction performance was increased from 25% to 38% by accounting for circadian dependencies.

Original languageEnglish
Title of host publication2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC)
Place of PublicationNew York
PublisherIEEE Press
Pages1624-1627
Number of pages4
ISBN (Print)978-1-4244-4122-8
Publication statusPublished - 2011
Event33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) - Boston
Duration: 30 Aug 20113 Sep 2011

Conference

Conference33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)
CityBoston
Period30/08/113/09/11

Cite this

Schelter, B., Feldwisch-Drentrup, H., Ihle, M., Schulze-Bonhage, A., & Timmer, J. (2011). Seizure Prediction in Epilepsy: From Circadian Concepts via Probabilistic Forecasting to Statistical Evaluation. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC) (pp. 1624-1627). IEEE Press.