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Intensive Care Cloud: Exploiting cloud infrastructures for near real-time vital sign analysis in intensive care medicine

dc.contributor.authorStylianides, N.en
dc.contributor.authorDikaiakos, Marios D.en
dc.contributor.authorGjermundrod, H.en
dc.contributor.authorKyprianou, T.en
dc.creatorStylianides, N.en
dc.creatorDikaiakos, Marios D.en
dc.creatorGjermundrod, H.en
dc.creatorKyprianou, T.en
dc.date.accessioned2019-11-13T10:42:25Z
dc.date.available2019-11-13T10:42:25Z
dc.date.issued2012
dc.identifier.isbn978-1-4673-4358-9
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/55038
dc.description.abstractThis paper introduces a novel, open architecture cloud oriented framework named Intensive Care Cloud, ICCloud. ICCloud main objective is to provide a) a common repository to store anonymized vital sign parameters retrieved from intensive care bedside medical devices and b) exploit massive computational resources to analyze vital sign parameters. ICCloud uses a simplified data model (cloud tables) to reduce the complexity of the deployment and the cost of usage of the infrastructure. These cloud tables are accessed only within the cloud infrastructure (cloud jobs) using only inbound network traffic. Pre-allocated working nodes (virtual machines used only for processing) are used to execute jobs implementing scoring functions or data analysis algorithms. © 2012 IEEE.en
dc.sourceIEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012en
dc.source12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84872850956&doi=10.1109%2fBIBE.2012.6399697&partnerID=40&md5=d895841c9fc932ce5813f5f2b3e13fcc
dc.subjectComputer architectureen
dc.subjectMedical computingen
dc.subjectComputational resourcesen
dc.subjectBioinformaticsen
dc.subjectVirtual machinesen
dc.subjectBiomedical equipmenten
dc.subjectMedical Devicesen
dc.subjectVital signen
dc.subjectCloud medical databasesen
dc.subjectData analysis algorithmsen
dc.subjectInbound networken
dc.subjectIntensive Careen
dc.subjectIntensive care medicinesen
dc.subjectMedical databaseen
dc.subjectNear real time vital sign processingen
dc.subjectOpen architectureen
dc.subjectOpen Repositoryen
dc.subjectScoring functionsen
dc.subjectVital sign analysisen
dc.subjectWorking nodesen
dc.titleIntensive Care Cloud: Exploiting cloud infrastructures for near real-time vital sign analysis in intensive care medicineen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/BIBE.2012.6399697
dc.description.startingpage1
dc.description.endingpage6
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 95206</p>en
dc.contributor.orcidDikaiakos, Marios D. [0000-0002-4350-6058]
dc.gnosis.orcid0000-0002-4350-6058


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