Implementation of context aware e-health environments based on social sensor networks

Aguirre Gallego, Erik; Led Ramos, Santiago; López Iturri, Peio; Azpilicueta Fernández de las Heras, Leyre; Serrano Arriezu, Luis Javier; Falcone Lanas, Francisco

Publication:
Implementation of context aware e-health environments based on social sensor networks

dc.contributor.author	Aguirre Gallego, Erik
dc.contributor.author	Led Ramos, Santiago
dc.contributor.author	López Iturri, Peio
dc.contributor.author	Azpilicueta Fernández de las Heras, Leyre
dc.contributor.author	Serrano Arriezu, Luis Javier
dc.contributor.author	Falcone Lanas, Francisco
dc.contributor.department	Ingeniería Eléctrica y Electrónica	es_ES
dc.contributor.department	Ingeniaritza Elektrikoa eta Elektronikoa	eu
dc.contributor.funder	Gobierno de Navarra / Nafarroako Gobernua	es
dc.date.accessioned	2017-11-15T09:28:40Z
dc.date.available	2017-11-15T09:28:40Z
dc.date.issued	2016
dc.description.abstract	In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed.	en
dc.description.sponsorship	The authors wish to acknowledge funding of project NASISTIC, from the Government of Navarra, Spain; Project TEC2013-45585-C2-1-R, funded by the Spanish Ministry of Economy and Competiveness; collaboration and support from Red Cross Navarra; and D2D, AH and ID corporations, in Spain.	en
dc.format.extent	27 p.
dc.format.mimetype	application/pdf	en
dc.identifier.doi	10.3390/s16030310
dc.identifier.issn	1424-8220
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/26165
dc.language.iso	eng	en
dc.publisher	MDPI	en
dc.relation.ispartof	Sensors, 2016, 16(3), 310	en
dc.relation.projectID	info:eu-repo/grantAgreement/MINECO//TEC2013-45585-C2-1-R/ES/	en
dc.relation.publisherversion	https://dx.doi.org/10.3390/s16030310
dc.rights	© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license.	en
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Social sensors	en
dc.subject	Wireless body area networks	en
dc.subject	Deterministic radio planning	en
dc.subject	Back office	en
dc.title	Implementation of context aware e-health environments based on social sensor networks	en
dc.type	info:eu-repo/semantics/article
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dspace.entity.type	Publication
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