Publication:
Implementation and operational analysis of an interactive intensive care unit within a smart health context

dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorAguirre Gallego, Erik
dc.contributor.authorTrigo Vilaseca, Jesús Daniel
dc.contributor.authorAstrain Escola, José Javier
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.authorSerrano Arriezu, Luis Javier
dc.contributor.authorVilladangos Alonso, Jesús
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.departmentIngeniaritza Elektrikoa eta Elektronikoaeu
dc.contributor.departmentMatematika eta Informatika Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentIngeniería Matemática e Informáticaes_ES
dc.date.accessioned2018-09-19T09:37:47Z
dc.date.available2018-09-19T09:37:47Z
dc.date.issued2018
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.identifier.doi10.3390/s18020389
dc.identifier.issn1424-8220
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/30732
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofSensors, 18, 389en
dc.relation.publisherversionhttps://doi.org/10.3390/s18020389
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.accessRightsinfo:eu-repo/semantics/openAccess
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/article
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dspace.entity.typePublication
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