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dc.creatorLópez Iturri, Peioes_ES
dc.creatorAguirre Gallego, Erikes_ES
dc.creatorTrigo Vilaseca, Jesús Danieles_ES
dc.creatorAstrain Escola, José Javieres_ES
dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorSerrano Arriezu, Luis Javieres_ES
dc.creatorVilladangos Alonso, Jesúses_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.date.accessioned2018-09-19T09:37:47Z
dc.date.available2018-09-19T09:37:47Z
dc.date.issued2018
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/2454/30732
dc.description.abstractIn the context of hospital management and operation, Intensive Care Units (ICU) are one of the most challenging in terms of time responsiveness and criticality, in which adequate resource management and signal processing play a key role in overall system performance. In this work, a context aware Intensive Care Unit is implemented and analyzed to provide scalable signal acquisition capabilities, as well as to provide tracking and access control. Wireless channel analysis is performed by means of hybrid optimized 3D Ray Launching deterministic simulation to assess potential interference impact as well as to provide required coverage/capacity thresholds for employed transceivers. Wireless system operation within the ICU scenario, considering conventional transceiver operation, is feasible in terms of quality of service for the complete scenario. Extensive measurements of overall interference levels have also been carried out, enabling subsequent adequate coverage/capacity estimations, for a set of Zigbee based nodes. Real system operation has been tested, with ad-hoc designed Zigbee wireless motes, employing lightweight communication protocols to minimize energy and bandwidth usage. An ICU information gathering application and software architecture for Visitor Access Control has been implemented, providing monitoring of the Boxes external doors and the identification of visitors via a RFID system. The results enable a solution to provide ICU access control and tracking capabilities previously not exploited, providing a step forward in the implementation of a Smart Health framework.en
dc.format.extent22 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors, 18, 389en
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectIntensive care uniten
dc.subjectVisitor control applicationen
dc.subjectHospitalen
dc.subject3D ray launchingen
dc.subjectSmarten
dc.titleImplementation and operational analysis of an interactive intensive care unit within a smart health contexten
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Matemática e Informáticaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Matematika eta Informatika Ingeniaritza Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. InaMat - Institute for Advanced Materialses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/s18020389
dc.relation.publisherversionhttps://doi.org/10.3390/s18020389
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution.
Except where otherwise noted, this item's license is described as © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution.