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Architecture of a Monitoring System for Hipertensive Patients

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Book cover Biomedical Applications Based on Natural and Artificial Computing (IWINAC 2017)

Abstract

Hypertension is a chronic disease affecting eight out of ten over 65 years. Current medical systems focus on the monitoring of the hypertensive patient and, in some cases, on the diagnosis, making the doctor-patient communication more direct. However, these systems have a rigid structure that does not adapt neither to the patient’s real needs nor to manage key aspects such as security, scalability, integration, flexibility, interoperability or standardisation data. Our proposal aims to create an integrative architecture that solves the different weaknesses that the current systems have.

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Acknowledgements

This work has been granted by the Ministerio de Economíay Competitividad of the Spanish Government (ref. TIN2014-53067-C3-1-R) and cofinanced by FEDER (Fondo Europeo de Desarrollo Regional).

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Correspondence to Alberto de Ramón-Fernández .

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de Ramón-Fernández, A., Ruiz-Fernández, D., Ramírez-Navarro, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Soriano-Payá, A. (2017). Architecture of a Monitoring System for Hipertensive Patients. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_48

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59772-0

  • Online ISBN: 978-3-319-59773-7

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