Giving hope to refractory epileptic patients

Author

Dourado, Antonio ; Teixeira, C. ; Le Van Quyen, Michel ; Schelter, Bjorn ; Favaro, Gianpietro ; Schulz-Bonhage, Andreas ; Sales, Francisco

Author_Institution

CISUC Dept. Inf. Eng., Univ. of Coimbra, Coimbra, Portugal

fYear

2014

fDate

7-9 May 2014

Firstpage

1

Lastpage

10

Abstract

This paper outlines the results and challenges identified by the FP7 Epilepsiae project as a follow up to the initial paper presented at IST-Africa 2009. Four main outcomes are described: (i) the Epilepsy Database with long term acquired multichannel EEG data of 275 patients, (ii) the computational framework Epilab with a set of features and algorithms for seizure prediction, (iii) the real time transportable device Brainatic aimed to be used by refractory epileptic patients to warn impending seizures, (iv) the results of a large study for seizure prediction using data from 278 patients. The project achieved important steps forward but challenges still remain.

Keywords

database management systems; electroencephalography; learning (artificial intelligence); medical signal processing; Brainatic transportable device; Epilab computational framework; FP7 Epilepsiae project; electroencephalography; epilepsy database; multichannel EEG data; refractory epileptic patients; seizure prediction; Databases; Electrocardiography; Electroencephalography; Epilepsy; Prediction algorithms; Testing; Training; Epilepsy; biosignals analysis; classification; epilepsiae project; seizure prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

IST-Africa Conference Proceedings, 2014

Conference_Location

Le Meridien Ile Maurice

Print_ISBN

978-1-905824-43-4

Type

conf

DOI

10.1109/ISTAFRICA.2014.6880622

Filename

6880622