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Journal of Sensors - Volume 2017 2017, Article ID 6043069, 18 pages -

Research Article

Computer Science Department, University of Oviedo, Campus de Viesques, s-n, 33204 Gijón, Spain

DIEECS, University of Oviedo, Campus de Viesques, s-n, 33204 Gijón, Spain

Instituto Tecnológico de Castilla y León, Polg. Ind. Villalonquejar, López Bravo 70, 09001 Burgos, Spain

Correspondence should be addressed to José R. Villar

Received 9 March 2017; Revised 29 May 2017; Accepted 6 June 2017; Published 27 July 2017

Academic Editor: Guiyun Tian

Copyright © 2017 Paula M. Vergara et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.

Autor: Paula M. Vergara, Enrique de la Cal, José R. Villar, Víctor M. González, and Javier Sedano



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