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Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context

In 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 In...

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Autores principales: Lopez-Iturri, Peio, Aguirre, Erik, Trigo, Jesús Daniel, Astrain, José Javier, Azpilicueta, Leyre, Serrano, Luis, Villadangos, Jesús, Falcone, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854996/
https://www.ncbi.nlm.nih.gov/pubmed/29382148
http://dx.doi.org/10.3390/s18020389
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author Lopez-Iturri, Peio
Aguirre, Erik
Trigo, Jesús Daniel
Astrain, José Javier
Azpilicueta, Leyre
Serrano, Luis
Villadangos, Jesús
Falcone, Francisco
author_facet Lopez-Iturri, Peio
Aguirre, Erik
Trigo, Jesús Daniel
Astrain, José Javier
Azpilicueta, Leyre
Serrano, Luis
Villadangos, Jesús
Falcone, Francisco
author_sort Lopez-Iturri, Peio
collection PubMed
description In 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.
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spelling pubmed-58549962018-03-20 Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context Lopez-Iturri, Peio Aguirre, Erik Trigo, Jesús Daniel Astrain, José Javier Azpilicueta, Leyre Serrano, Luis Villadangos, Jesús Falcone, Francisco Sensors (Basel) Article In 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. MDPI 2018-01-29 /pmc/articles/PMC5854996/ /pubmed/29382148 http://dx.doi.org/10.3390/s18020389 Text en © 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lopez-Iturri, Peio
Aguirre, Erik
Trigo, Jesús Daniel
Astrain, José Javier
Azpilicueta, Leyre
Serrano, Luis
Villadangos, Jesús
Falcone, Francisco
Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title_full Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title_fullStr Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title_full_unstemmed Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title_short Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context
title_sort implementation and operational analysis of an interactive intensive care unit within a smart health context
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854996/
https://www.ncbi.nlm.nih.gov/pubmed/29382148
http://dx.doi.org/10.3390/s18020389
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