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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Scopus citations

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® Atom™ netbook with 2GB of RAM, and was used to perform the clinical and ambulatory tests of the EU project EPILEPSIAE.

Original language	English
Title of host publication	Biosystems and Biorobotics
Publisher	Springer International Publishing
Pages	7-17
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-54707-2_2
State	Published - 2014
Externally published	Yes

Publication series

Name	Biosystems and Biorobotics
Volume	6
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

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

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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. In 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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year = "2014",

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

language = "English",

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. in 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

TY - CHAP

T1 - Brainatic

T2 - A system for real-time epileptic seizure prediction

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

Y1 - 2014

N2 - 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.

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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DO - 10.1007/978-3-642-54707-2_2

M3 - Chapter

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T3 - Biosystems and Biorobotics

SP - 7

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BT - Biosystems and Biorobotics

PB - Springer International Publishing

ER -

Brainatic: A system for real-time epileptic seizure prediction

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