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dc.contributor.authorAlsalemi, A.
dc.contributor.authorAlhomsi, Yahya
dc.contributor.authorDisi, M. A.
dc.contributor.authorAhmed, I.
dc.contributor.authorBensaali, F.
dc.contributor.authorAmira, Abbes
dc.contributor.authorAlinier, G.
dc.date.accessioned2018-06-28T11:17:34Z
dc.date.available2018-06-28T11:17:34Z
dc.date.issued2018-02-01
dc.identifier.citationAlsalemi , A , Alhomsi , Y , Disi , M A , Ahmed , I , Bensaali , F , Amira , A & Alinier , G 2018 , Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulation . in 2017 IEEE International Conference on internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) . vol. 2018-January , Institute of Electrical and Electronics Engineers (IEEE) , pp. 178-182 , 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) , Exeter , United Kingdom , 21/06/17 . https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.31
dc.identifier.citationconference
dc.identifier.isbn9781538630655
dc.identifier.otherPURE: 14958783
dc.identifier.otherPURE UUID: e4490d36-5f50-4d1a-9bbf-09559a88be94
dc.identifier.otherRIS: urn:D641095265CFD616AB700860C6DDB5EE
dc.identifier.otherScopus: 85047404100
dc.identifier.urihttp://hdl.handle.net/2299/20213
dc.descriptionPaper presented at the 2017 IEEE International Conference on Internet of Things and IEEE Cyber, Physical and Social Computing and IEEE Smart Data, 21-23 June 2017, Exeter, UK.
dc.description.abstractExtracorporeal membrane oxygenation (ECMO) is a high-complexity life-saving procedure where quick and coordinated interventions are required to avoid mortality. ECMO perfusionists and nurses must be well trained to respond to time-critical emergencies, using simulation-based education, which currently rely on rudimental ECMO simulation processes. Implementing a simulation system for such complex medical procedure necessitates a robust, well-coordinated underlying architecture. In this paper, the use of Internet of Things (IoT) service Firebase is presented in the case study of an ECMO simulator. Features of the proposed solution are discussed and justified in the given use case including latency, hardware compatibility, and data management. For the used case of ECMO simulation system, Firebase proved to be a proper communication solution that satisfied the urgent nature of medical training.en
dc.format.extent5
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2017 IEEE International Conference on internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
dc.subjectInternet of Things
dc.subjectbiomedical communication
dc.subjectbiomedical equipment
dc.subjectcloud computing
dc.subjectcomputer based training
dc.subjectdigital simulation
dc.subjectmedical computing
dc.subjectpublic domain software
dc.subjectECMO perfusionists
dc.subjectECMO simulation system
dc.subjectECMO simulator
dc.subjectFirebase cloud IoT platform
dc.subjectInternet of Things service Firebase
dc.subjectcomplex medical procedure
dc.subjectcoordinated interventions
dc.subjectextracorporeal membrane oxygenation
dc.subjecthigh-complexity life-saving procedure
dc.subjectmedical training
dc.subjectnurses
dc.subjectproper communication solution
dc.subjectreal-time communication network
dc.subjectrudimental ECMO simulation processes
dc.subjectsimulation-based education
dc.subjecttime-critical emergencies
dc.subjectCloud computing
dc.subjectDatabases
dc.subjectMicrocontrollers
dc.subjectReal-time systems
dc.subjectTraining
dc.subjectWireless fidelity
dc.subjectECMO simulation
dc.subjectand clinical training
dc.subjectinternet-of-things
dc.subjectreal-time communications
dc.subjectHardware and Architecture
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectCommunication
dc.subjectArtificial Intelligence
dc.subjectComputer Networks and Communications
dc.titleReal-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulationen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionAllied Health Professions
dc.contributor.institutionParamedic Science
dc.contributor.institutionSchool of Health and Social Work
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85047404100&partnerID=8YFLogxK
rioxxterms.versionofrecordhttps://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.31
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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