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Seizure prediction in epilepsy: from circadian concepts via probabilistic forecasting to statistical evaluation.

Authors
  • Schelter, Björn
  • Feldwisch-Drentrup, Hinnerk
  • Ihle, Matthias
  • Schulze-Bonhage, Andreas
  • Timmer, Jens
Type
Published Article
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publication Date
Jan 01, 2011
Volume
2011
Pages
1624–1627
Identifiers
DOI: 10.1109/IEMBS.2011.6090469
PMID: 22254634
Source
Medline
License
Unknown

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.

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