Supporting Active Ageing Interventions with Web and Mobile/Wearable Technologies and Using Microservice Oriented Architectures

  • Francisco Carranza-García
  • Francisco M. García-Moreno
  • Carlos Rodriguez-Dominguez
  • José Luis Garrido
  • María Bermúdez Edo
  • María José Rodriguez-Fortiz
  • José Manuel Pérez-MármolEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1016)


New solutions in the e-Health domain are been applied to address problems such as monitoring, user adaptation and context influence, particularly if the patients are older people. The social and economic burdens associated with age decline can be decreased by providing more holistic technological solutions. Our aim is to contribute to the integration of different aspects in the active ageing process (cognitive, physical and social) to achieve more complete evaluations and by performing more effective interventions in the elderly. To this end, in this research work we propose a technological solution based on microservices architectures, which has been validated in two different projects: cognitive training and frailty prevention. The solution involves a system of systems engineering, thus improving reusability, extensibility, and performance in the e-Health domain.


Microservices architecture e-Health Active ageing VIRTRAEL PREFRA 



This research work is funded by the Spanish Ministry of Economy and Competitiveness - Agencia Estatal de Investigación - with European Regional Development Funds (AEI/FEDER, UE) through the project ref. TIN2016-79484-R and the scholarship FPU program ref. FPU16/07100 granted by the Spanish Ministry of Education, Culture and Sports.


  1. 1.
    Ali, S., Kibria, M.G., Jarwar, M.A., Kumar, S., Chong, I.: Microservices model in WoO based IoT platform for depressive disorder assistance. In: International Conference on Information and Communication Technology Convergence (ICTC), pp. 864–866. IEEE (2017)Google Scholar
  2. 2.
    Fontecha, J., Navarro, F.J., Hervas, R., Bravo, J.: A mobile and ubiquitous approach for supporting frailty assessment in elderly people. Pers. Ubiquit. Comput. 17(6), 1073 (2013)CrossRefGoogle Scholar
  3. 3.
    Fried, L.P., et al.: Frailty in older adults: evidence for a phenotype. J. Gerontol. Med. Sci. Am. 56(3), 146 (2001)CrossRefGoogle Scholar
  4. 4.
    Gobbens, R.J.J., Luijkx, K.G., Wijnen-Sponselee, M.T., Schols, J.M.G.A.: In search of an integral conceptual definition of frailty: opinions of experts. J. Am. Med. Dir. Assoc. 11(5), 338–343 (2010)CrossRefGoogle Scholar
  5. 5.
  6. 6.
    IrIarte, E., Araya, A.X.: Criterios de fragilidad en personas mayores que viven en la comunidad: una actualización de la literatura. Rev. Med. Chile 144, 1440 (2016)CrossRefGoogle Scholar
  7. 7.
    Jarwar, M.A., Ali, S., Chong, I.: Exploring web objects enabled data-driven microservices for E-health service provision in IoT environment. In: 2018 International Conference on Information and Communication Technology Convergence (ICTC), pp. 112–117. IEEE (2018)Google Scholar
  8. 8.
    Pfeifer, E.: A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J. Am. Geriatr. Soc. 23, 433–441 (1975)CrossRefGoogle Scholar
  9. 9.
    Richardson, C.: Microservices: decomposing applications for deployability and scalability. InfoQ 25, 15–16 (2014)Google Scholar
  10. 10.
  11. 11.
    Rodríguez-Domínguez, C., Benghazi, K., Noguera, M., Garrido, J.L., Rodríguez-Almendros, M.L., Ruiz-López, T.: A communication model to integrate the request-response and the publish-subscribe paradigms into ubiquitous systems. Sensors 12(6), 7648–7668 (2012). Ubiquitous Computing and Ambient IntelligenceCrossRefGoogle Scholar
  12. 12.
    Rute-Pérez, S., Santiago-Ramajo, S., Hurtado-Torres, M.V., Rodriguez-Fortiz, M.J., Caracuel-Romero, A.: Challenges in software applications for the cognitive assessment and training of the elderly. J. Neuroeng. Rehabil. 11, 88 (2014)CrossRefGoogle Scholar
  13. 13.
    Sage, A.P.: System of Systems Engineering: Innovations for the 21st Century, vol. 58. Wiley, Hoboken (2011)Google Scholar
  14. 14.
    Schmidt, M., Obermaisser, R.: Adaptive and technology-independent architecture for fault-tolerant distributed AAL solutions. Comput. Biol. Med. 95, 236–247 (2018)CrossRefGoogle Scholar
  15. 15.
  16. 16.
    Xue, Q.L.: The frailty syndrome: definition and natural history. Clin. Geriatr. Med. 27(1), 1 (2011)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Dpt. Lenguajes y Sistemas Informáticos, CITIT-UGRUniversity of GranadaGranadaSpain
  2. 2.Dpt. of Physiotherapy, Faculty of Health SciencesUniversity of GranadaGranadaSpain

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