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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-5854996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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