Brainatic: A system for real-time epileptic seizure prediction

César Teixeira, Gianpietro Favaro, Bruno Direito, Mojtaba Bandarabadi, Hinnerk Feldwisch-Drentrup, Matthias Ihle, Catalina Alvarado, Michel Le Van Quyen, Bjorn Schelter, Andreas Schulze-Bonhage, Francisco Sales, Vincent Navarro, António Dourado

Producción: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

8 Citas (Scopus)

Resumen

A new system developed for real-time scalp EEG-based epileptic seizure prediction is presented, based on real time classification by machine learning methods, and named Brainatic. The system enables the consideration of previously trained classifiers for real-time seizure prediction. The software facilitates the computation of 22 univariate measures (features) per electrode, and classification using support vector machines (SVM), multilayer perceptron (MLP) neural networks and radial basis functions (RBF) neural networks. Brainatic was able to operate in real-time on a dual Intel® Atom™ netbook with 2GB of RAM, and was used to perform the clinical and ambulatory tests of the EU project EPILEPSIAE.

Idioma originalInglés
Título de la publicación alojadaBiosystems and Biorobotics
EditorialSpringer International Publishing
Páginas7-17
Número de páginas11
DOI
EstadoPublicada - 2014
Publicado de forma externa

Serie de la publicación

NombreBiosystems and Biorobotics
Volumen6
ISSN (versión impresa)2195-3562
ISSN (versión digital)2195-3570

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