An IoT Platform for Epilepsy Monitoring and Supervising
Joint Authors
Sedano, Javier
Vergara, Paula M.
de la Cal, Enrique
Villar, José R.
González, Víctor M.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-27
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Vergara, Paula M.& de la Cal, Enrique& Villar, José R.& González, Víctor M.& Sedano, Javier. 2017. An IoT Platform for Epilepsy Monitoring and Supervising. Journal of Sensors،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1187127
Modern Language Association (MLA)
Vergara, Paula M.…[et al.]. An IoT Platform for Epilepsy Monitoring and Supervising. Journal of Sensors No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1187127
American Medical Association (AMA)
Vergara, Paula M.& de la Cal, Enrique& Villar, José R.& González, Víctor M.& Sedano, Javier. An IoT Platform for Epilepsy Monitoring and Supervising. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1187127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187127