Patient Specific Seizure Prediction System Using Hilbert Spectrum and Bayesian Networks Classifiers

The aim of this paper is to develop an automated system for epileptic seizure prediction from intracranial EEG signals based on Hilbert-Huang transform (HHT) and Bayesian classifiers. Proposed system includes decomposition of the signals into intrinsic mode functions for obtaining features and use o...

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Detalles Bibliográficos
Autores principales: Ozdemir, Nilufer, Yildirim, Esen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163414/
https://www.ncbi.nlm.nih.gov/pubmed/25246941
http://dx.doi.org/10.1155/2014/572082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163414/
https://www.ncbi.nlm.nih.gov/pubmed/25246941
http://dx.doi.org/10.1155/2014/572082

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