Journal of Medical Systems

, 39:132 | Cite as

Mobile Monitoring Framework to Design Parameterized and Personalized m-Health Applications According to the Patient’s Diseases

  • Vladimir Villarreal
  • Ramon Hervas
  • Jesus Fontecha
  • Jose Bravo
Mobile Systems
Part of the following topical collections:
  1. UCAmI & IWAAL 2014


The development of personalized mobile monitoring applications is a complex work. Currently, the most of applications for patients monitoring through mobile devices, is not developed considering the particular characteristics of each patient, but these applications have been developed taking into account a general behavior depending on the diseases instead of the own patients. The diseases manifest different symptoms depending on the patient situation. Mary and John (hypothetic patients) have diabetes, but the same measurement of glucose for each one affects their health in a different way. This paper describes a framework that allows the development of mobile applications, personalized for each patient, in such a way that even if they have the same disease, the application will respond to the individual needs of each patient.


Mobile monitoring m-health Chronic diseases Adaptive framework 



This work has been supported by Secretaría Nacional de Ciencia y Tecnología (SENACYT) and Instituto para la Formación y Aprovechamiento de los Recursos Humanos (IFARHU) (Panama).


  1. 1.
    BOSCH. Health buddy system. Last access 2012, from, 2011.
  2. 2.
    AirStrip, T., AirStrip patient monitoring. Last access 2011, from, 2011.
  3. 3.
    WellDoc. WellDoc Health Platform. Last access 2012, from, 2011.
  4. 4.
    Georga, E., and Protopappas, V., et al., Data mining for blood glucose prediction and knowledge discovery in diabetic patients: The METABO diabetes modeling and management system. In: Engineering in Medicine and Biology Society, 2009. Annual International Conference of the IEEE, 2009.Google Scholar
  5. 5.
    Georgia Institute of Technology. AWARE HOME. Available online: (accessed on 10 December 2011).
  6. 6.
    Kientz, J. A., Patel, S. N., Jones, B., Price, E., Mynatt, E. D., Abowd, G. D., The Georgia tech aware home. In: Proceedings of CHI08 Extended Abstracts on Human Factors in Computing Systems, Florence, Italy, 5–10 April 2008; pp. 3675–3680.Google Scholar
  7. 7.
    Choi, M., Jones, B. D., Remote home health monitoring management using smartphones; Poster Presented at mHealth Summit 2010, Washington, DC, USA, 8–10 November, 2010.Google Scholar
  8. 8.
    University of Virginia. Smart IN-HOME Monitoring System. Available online: (accessed on 5 November 2011).
  9. 9.
    Villarreal, V., Hervás, R., Fdez, A. D., Bravo, J., Applying ontologies in the development of patient mobile monitoring framework. In: 2nd International Conference on e-Health and Bioengineering - EHB 2009. Constata, Romania: IEEE, 2009.Google Scholar
  10. 10.
    Villarreal, V., Laguna, J., López, S., Fontecha, J., Fuentes, C., Hervás, R., López de Ipiña, D., Bravo, J., A proposal for Mobile Diabetes Self-Control: Towards a Patient Monitoring Framework. In: International Workshop of Ambient Assisted Living, IWAAL’09. Salamanca, Spain: LNCS Springer-Velarg, 2009.Google Scholar
  11. 11.
    Villarreal, V., et al., Diabetes patients’ care based on mobile monitoring. In: IADIS International Conference, APPLIED COMPUTING 2009. Rome, Italy, 2009.Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Vladimir Villarreal
    • 1
  • Ramon Hervas
    • 2
  • Jesus Fontecha
    • 2
  • Jose Bravo
    • 2
  1. 1.GITCE Research Lab; Systems and Computer Engineering FacultyTechnological University of PanamaPanamaPanama
  2. 2.MamI Research LabCastilla La Mancha UniversityCiudad RealSpain

Personalised recommendations