Evolution of accumulated energy predicts seizures in mesial temporal lobe epilepsy

Author

Litt, Brian ; Esteller, R. ; D´Alessandro, M. ; Echauz, J. ; Shor, R. ; Bowen, Chris ; Vachtsevanos, G.

Author_Institution

Georgia Inst. of Technol., Atlanta, GA, USA

Volume

1

fYear

1999

fDate

1999

Abstract

Presents a promising feature for predicting epileptic seizures (Sz) 20 to 50 minutes prior to EEG onset. The authors calculated accumulated energy (AE) in the region of Sz onset for 13 pre-Sz and 24 baseline recordings obtained from intracranial EEG (IEEG) recordings in 3 patients with mesial temporal lobe epilepsy (MTLE) during evaluation for epilepsy surgery. In all patients pre-Sz AE deviated in a statistically significant fashion from trajectories calculated during periods far removed from Sz. Patterns of deviation differed between sleep and awake states in all patients. The authors´ results indicate that AE is a useful feature for predicting Sz in patients with MITE, and may compliment other features for Sz prediction with different time horizons

Keywords

electroencephalography; feature extraction; medical signal processing; sleep; 20 to 50 min; EEG processing; accumulated energy predicts seizures evolution; awake state; baseline recordings; deviation patterns; electrodiagnostics; epilepsy surgery evaluation; intracranial EEG; sleep state; time horizons; Algorithm design and analysis; Electroencephalography; Epilepsy; Explosions; Signal analysis; Signal processing; Strips; Surgery; Temporal lobe; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802518

Filename

802518