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

Author

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

Author_Institution

Fac. of Math. & Phys., Univ. of Freiburg, Freiburg, Germany

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

1624

Lastpage

1627

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.

Keywords

circadian rhythms; diseases; electroencephalography; forecasting theory; medical signal processing; prediction theory; statistical analysis; circadian concepts; circadian dependencies; epilepsy; probabilistic forecasting; seizure prediction; statistical evaluation; Electroencephalography; Epilepsy; Prediction algorithms; Prediction methods; Probabilistic logic; Sensitivity; Surgery; Adult; Algorithms; Child; Circadian Rhythm; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electroencephalography; Female; Forecasting; Humans; Male; Middle Aged; Reproducibility of Results; Seizures; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090469

Filename

6090469