An IoT Platform for Epilepsy Monitoring and Supervising. (27th July 2017)

• Record Type: Journal Article
• Authors: Vergara, Paula M.; de la Cal, Enrique; Villar, José R.; González, Víctor M.; Sedano, Javier
• Other Names: Tian Guiyun Academic Editor.
• Is Part Of: Journal of sensors. Volume 2017(2017)
• Publication Date: 2017-07-27
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2017/6043069
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : 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.