Big data and IoT for chronic patients monitoring

dc.contributor.authorGachet Páez, Diego
dc.contributor.authorAparicio Galisteo, Fernando
dc.contributor.authorDe Buenaga Rodríguez, Manuel
dc.contributor.authorAscanio, Juan Ramón
dc.date.accessioned2015-02-03T09:25:50Z
dc.date.available2015-02-03T09:25:50Z
dc.date.issued2014
dc.description.abstractDeveloped countries are characterized by aging population and economical crisis, so it is desirable to reduce the costs of public and private healthcare systems. It is necessary to streamline the health system resources leading to the development of new medical services based on telemedicine, remote monitoring of chronic patients, personalized health services, new services for dependants, etc. New medical applications based on remote monitoring will significantly increasing the volume of health information to manage, including data from medical and biological sensors, is then necessary process this huge volume of data using techniques from Big Data. In this paper we propose one potential solution for creating those new services, based on Big Data processing and vital signs monitoring.spa
dc.description.filiationUEMspa
dc.description.impact0.339 SJR (2014) Q2, 102/234 Computer science (miscellaneous); Q4, 94/120 Theoretical computer sciencespa
dc.description.sponsorshipMinisterio de Industria, Turismo y Comercio (TSI-020100-2011-83); Ministerio de Ciencia e Innovación (TIN-2009-14057-C03-01).spa
dc.identifier.citationGachet-Páez, D., Aparicio-Galisteo, F., Buenaga-Rodríguez, M., & Ascanio, J. R. (2014). Big data and IoT for chronic patients monitoring. In Ubiquitous Computing & Ambient Intelligence: Personalisation and user adapted services, UCAml 2014: 8th International Conference on Ubiquitous Computing & Ambient Intelligence, December 2nd-5th 2014 (pp. 416-423). Belfast, UK: Springer International Publishing.spa
dc.identifier.doi10.1007/978-3-319-13102-3_68
dc.identifier.issn03029743spa
dc.identifier.urihttp://hdl.handle.net/11268/3825
dc.language.isoengspa
dc.peerreviewedSispa
dc.publisherSpringer International Publishingspa
dc.rights.accessRightsrestricted accessen
dc.subject.otherInternet of thingsspa
dc.subject.otherCloud computingspa
dc.subject.otherElderlyspa
dc.subject.otherSensorsspa
dc.subject.uemInternet - Aplicaciones en Medicinaspa
dc.subject.unescoCienciaspa
dc.subject.unescoInternetspa
dc.subject.unescoSaludspa
dc.titleBig data and IoT for chronic patients monitoringspa
dc.typeconference outputspa
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoveryba289417-f91f-4db3-a56e-9c10a61162ad

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