Evidence map›Paper›PMID 29382148›Full record

ArticleSensors (Basel, Switzerland)2018

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

Peio Lopez-Iturri, Erik Aguirre, Jesús Daniel Trigo, José Javier Astrain, Leyre Azpilicueta, Luis Serrano, Jesús Villadangos, Francisco Falcone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Peio Lopez-IturriDepartment of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain. peio.lopez@unavarra.es.ORCID 0000-0001-8411-1928
Erik AguirreDepartment of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain. erik.aguirre@unavarra.es.
Jesús Daniel TrigoDepartment of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain. jesusdaniel.trigo@unavarra.es.ORCID 0000-0003-2916-4052
José Javier AstrainInstitute of Smart Cities, Public University of Navarre, 31006 Pamplona, Navarra, Spain. josej.astrain@unavarra.es.ORCID 0000-0002-7792-6317
Leyre AzpilicuetaSchool of Engineering and Sciences, Tecnologico de Monterrey, 64849 Monterrey, Mexico. leyre.azpilicueta@itesm.mx.ORCID 0000-0002-3821-0105
Luis SerranoDepartment of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain. lserrano@unavarra.es.ORCID 0000-0002-7072-4464
Jesús VilladangosInstitute of Smart Cities, Public University of Navarre, 31006 Pamplona, Navarra, Spain. jesusv@unavarra.es.ORCID 0000-0002-7341-9529
Francisco FalconeDepartment of Electrical and Electronic Engineering, Public University of Navarre, 31006 Pamplona, Navarra, Spain. francisco.falcone@unavarra.es.ORCID 0000-0002-4911-9753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Intensive Care UnitsComputer SystemsSoftware3D Ray LaunchinghospitalIntensive Care Unitradio planningSmart Healthvisitor control application

Identifiers

PMID29382148
PMCPMC5854996

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.