DocumentCode :
2152986
Title :
Graphical models for localization of the seizure focus from interictal intracranial EEG
Author :
Dauwels, Justin ; Eskandar, Emad ; Cole, Andy ; Hoch, Dan ; Zepeda, Rodrigo ; Cash, Sydney S.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ. (NTU), Singapore, Singapore
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
745
Lastpage :
748
Abstract :
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered from 5 and 6 patients respectively. The proposed algorithms combine spectral and multivariate statistics in a decision-theoretic framework to automatically delineate the seizure onset area. In the case of depth recordings, we apply standard binary classification algorithms, including linear and quadratic discriminative analysis. For the surface recordings, novel decision algorithms are developed, based upon graphical models. The outcomes from the algorithms for both depth and surface recordings are in good agreement with the determination of the seizure focus by clinicians from ictal EEG. In the long term, the proposed approach may lead to shorter hospitalization of intractable-epilepsy patients, since it does not rely on ictal EEG.
Keywords :
data analysis; decision theory; diseases; electroencephalography; medical disorders; medical signal processing; spectral analysis; statistical analysis; EEG signal recording; binary classification algorithms; data preprocessing; decision theory; depth recordings; graphical models; interictal intracranial EEG; intractable-epilepsy patients; linear discriminative analysis; multivariate statistics algorithms; quadratic discriminative analysis; seizure focus localization; spectral statistics algorithms; surface recordings; Area measurement; Brain modeling; Correlation; Electrodes; Electroencephalography; Epilepsy; Logic gates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946511
Filename :
5946511
Link To Document :
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