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dc.contributor.authorCuadrado, Josep
dc.contributor.authorVilaplana Mayoral, Jordi
dc.contributor.authorMateo Fornés, Jordi
dc.contributor.authorSolsona Tehàs, Francesc
dc.contributor.authorSolsona, Sara
dc.contributor.authorRius Torrentó, Josep Maria
dc.contributor.authorAlves, Rui
dc.contributor.authorCamafort, Miguel
dc.contributor.authorTorres, Gerard
dc.contributor.authorBetriu i Bars, M. Àngels
dc.contributor.authorGutiérrez Vilaplana, Josep M.
dc.contributor.authorFernández i Giráldez, Elvira
dc.date.accessioned2016-12-02T10:56:19Z
dc.date.available2016-12-02T10:56:19Z
dc.date.issued2016
dc.identifier.issn2376-5992
dc.identifier.urihttp://hdl.handle.net/10459.1/58763
dc.description.abstractHypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. A tool adapted to the particular requirements of hypertension can greatly facilitate monitoring and diagnosis. This paper presents HBPF, an efficient cloud-based Home Blood Pressure Framework. This allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring for both patients and clinicians. HBPF provides a complete, efficient, and cross-platform framework to follow up hypertensive patients with an SLA guarantee. Response time below one second for 80,000 requests and 28% increase in peak throughput going from one to three virtual machines were obtained. In addition, a mobile app (BP) for Android and iOS with a user-friendly interface is also provided to facilitate following up hypertensive patients. Among them, between 54% and 87% favorably evaluated the tool. BP can be downloaded for free from the website Hesoft Group repository (http://www.hesoftgroup.eu).ca_ES
dc.description.sponsorshipThis work was supported by the Ministerio de Enonomia y Competitividad under contracts TIN2011-28689-C02-02, TIN2014-53234-C2-2-R and BFU2010-17704. The authors are members of the research groups 2014-SGR163 and 2014-SGR243, funded by the Generalitat de Catalunya.ca_ES
dc.language.isoengca_ES
dc.publisherPeerJca_ES
dc.relationMICINN/PN2008-2011/TIN2011-28689-C02-02
dc.relationMINECO/PN2013-2016/TIN2014-53234-C2-2-R
dc.relationMICINN/PN2008-2011/BFU2010-17704
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.7717/peerj-cs.69ca_ES
dc.relation.ispartofPeerJ Computer Science, 2016, vol. 2, p. 1-17ca_ES
dc.rightscc-by (c) Cuadrado et al., 2016ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectHypertensionca_ES
dc.subjectHealtcareca_ES
dc.subjecteHealthca_ES
dc.titleHBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patientsca_ES
dc.typearticleca_ES
dc.identifier.idgrec024563
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.7717/peerj-cs.69


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cc-by (c) Cuadrado et al., 2016
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