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dc.contributor.authorPaganelli, Antonio Iyda
dc.contributor.authorVelmovitsky, Pedro Elkind
dc.contributor.authorMiranda, Pedro
dc.contributor.authorBranco, Adriano
dc.contributor.authorAlencar, Paulo
dc.contributor.authorCowan, Donald
dc.contributor.authorEndler, Markus
dc.contributor.authorMorita, Plinio Pelegrini 16:38:05 (GMT) 16:38:05 (GMT)
dc.descriptionThe final publication is available at Elsevier via © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractDue to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe cases, and remotely assessing patients’ status. Internet of Things (IoT) technologies have been used for monitoring patients’ health with wireless wearable sensors in different scenarios and medical conditions, such as noncommunicable and infectious diseases. Combining IoT-related technologies with early-warning scores (EWS) commonly utilized in infirmaries has the potential to enhance health services delivery significantly. Specifically, the NEWS-2 has been showing remarkable results in detecting the health deterioration of COVID-19 patients. Although the literature presents several approaches for remote monitoring, none of these studies proposes a customized, complete, and integrated architecture that uses an effective early-detection mechanism for COVID-19 and that is flexible enough to be used in hospital wards and at home. Therefore, this article's objective is to present a comprehensive IoT-based conceptual architecture that addresses the key requirements of scalability, interoperability, network dynamics, context discovery, reliability, and privacy in the context of remote health monitoring of COVID-19 patients in hospitals and at home. Since remote monitoring of patients at home (essential during a pandemic) can engender trust issues regarding secure and ethical data collection, a consent management module was incorporated into our architecture to provide transparency and ensure data privacy. Further, the article details mechanisms for supporting a configurable and adaptable scoring system embedded in wearable devices to increase usefulness and flexibility for health care professions working with EWS.en
dc.description.sponsorshipThis study was financed in part by the The Brazilian National Council for Scientific and Technological Development (CNPq).en
dc.relation.ispartofseriesInternet of Things;
dc.rightsAttribution 4.0 International*
dc.subjectremote monitoringen
dc.titleA conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at homeen
dcterms.bibliographicCitationPaganelli, A. I., Velmovitsky, P. E., Miranda, P., Branco, A., Alencar, P., Cowan, D., Endler, M., & Morita, P. P. (2021). A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home. Internet of Things, 100399.
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2David R. Cheriton School of Computer Scienceen
uws.contributor.affiliation2Schwegel-UW Research Institute for Aging (RIA)en
uws.contributor.affiliation2Systems Design Engineeringen

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