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

doi:10.1007/978-3-642-54707-2_2

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

University of Coimbra, Centre for Informatics and System
Micromed S.p.A.
University of Freiburg
University Hospital of Freiburg
CHU Pitie-Salpetriere
University of Aberdeen
University of Coimbra

Producción: Capítulo del libro/informe/acta de congreso › Capítulo en libro de investigación › revisión 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 original	Inglés
Título de la publicación alojada	Biosystems and Biorobotics
Editorial	Springer International Publishing
Páginas	7-17
Número de páginas	11
DOI	https://doi.org/10.1007/978-3-642-54707-2_2
Estado	Publicada - 2014
Publicado de forma externa	Sí

Serie de la publicación

Nombre	Biosystems and Biorobotics
Volumen	6
ISSN (versión impresa)	2195-3562
ISSN (versión digital)	2195-3570

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Teixeira, C., Favaro, G., Direito, B., Bandarabadi, M., Feldwisch-Drentrup, H., Ihle, M., Alvarado, C., Le Van Quyen, M., Schelter, B., Schulze-Bonhage, A., Sales, F., Navarro, V., & Dourado, A. (2014). Brainatic: A system for real-time epileptic seizure prediction. En Biosystems and Biorobotics (pp. 7-17). (Biosystems and Biorobotics; Vol. 6). Springer International Publishing. https://doi.org/10.1007/978-3-642-54707-2_2

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abstract = "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{\textregistered} Atom{\texttrademark} netbook with 2GB of RAM, and was used to perform the clinical and ambulatory tests of the EU project EPILEPSIAE.",

author = "C{\'e}sar Teixeira and Gianpietro Favaro and Bruno Direito and Mojtaba Bandarabadi and Hinnerk Feldwisch-Drentrup and Matthias Ihle and Catalina Alvarado and \{Le Van Quyen\}, Michel and Bjorn Schelter and Andreas Schulze-Bonhage and Francisco Sales and Vincent Navarro and Ant{\'o}nio Dourado",

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doi = "10.1007/978-3-642-54707-2\_2",

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series = "Biosystems and Biorobotics",

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Teixeira, C, Favaro, G, Direito, B, Bandarabadi, M, Feldwisch-Drentrup, H, Ihle, M, Alvarado, C, Le Van Quyen, M, Schelter, B, Schulze-Bonhage, A, Sales, F, Navarro, V & Dourado, A 2014, Brainatic: A system for real-time epileptic seizure prediction. En Biosystems and Biorobotics. Biosystems and Biorobotics, vol. 6, Springer International Publishing, pp. 7-17. https://doi.org/10.1007/978-3-642-54707-2_2

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AU - Teixeira, César

AU - Favaro, Gianpietro

AU - Direito, Bruno

AU - Bandarabadi, Mojtaba

AU - Feldwisch-Drentrup, Hinnerk

AU - Ihle, Matthias

AU - Alvarado, Catalina

AU - Le Van Quyen, Michel

AU - Schelter, Bjorn

AU - Schulze-Bonhage, Andreas

AU - Sales, Francisco

AU - Navarro, Vincent

AU - Dourado, António

PY - 2014

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AB - 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.

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ER -

Brainatic: A system for real-time epileptic seizure prediction

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