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HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients

, , , , , , ,
1 Hesoft Group, Lleida, Spain
2 Computer Science, University of Lleida, Lleida, Spain
3 Basic Medical Sciences, University of Lleida, Lleida, Spain
4 Medicine, Clinic Hospital, Barcelona, Spain
5 Department of Medicine, Universitat de Barcelona, Barcelona, Spain
DOI
10.7287/peerj.preprints.2073v1
Published
Accepted
Subject Areas
Computer Networks and Communications, Distributed and Parallel Computing
Keywords
hypertension, healtcare, eHealth
Copyright
© 2016 Cuadrado et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Cuadrado J, Vilaplana J, Mateo J, Solsona F, Solsona S, Rius J, Alves R, Camafort M. 2016. HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients. PeerJ Preprints 4:e2073v1

Abstract

Hypertension 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 3 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).

Author Comment

This is a preprint submission to PeerJ Preprints.

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Josep Cuadrado, Francesc Solsona, and Sara Solsona are employees of Hesoft Group, Lleida.

Author Contributions

Josep Cuadrado conceived and designed the experiments, performed the experiments, wrote the paper, prepared figures and/or tables, performed the computation work.

Jordi Vilaplana performed the experiments, prepared figures and/or tables, performed the computation work.

Jordi Mateo analyzed the data, prepared figures and/or tables, performed the computation work.

Francesc Solsona conceived and designed the experiments, wrote the paper, prepared figures and/or tables.

Sara Solsona analyzed the data, reviewed drafts of the paper.

Josep Rius contributed reagents/materials/analysis tools, reviewed drafts of the paper.

Rui Alves contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Miguel Camafort analyzed the data, contributed reagents/materials/analysis tools.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate any raw data.

Funding

This 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. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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