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Smart Monitoring of User and Home Environment: The Health@Home Acquisition Framework

  • Filippo Pietroni
  • Sara CasacciaEmail author
  • Gian Marco Revel
  • Mariorosario Prist
  • Andrea Monteriù
  • Sauro Longhi
  • Lorenzo Scalise
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 540)

Abstract

This work has been developed within the framework of the Italian smart city project “Health@Home (H@H)”. The main goal is the development of a joint network (heterogeneous devices, both biomedical and home automation) to monitor the user’s health conditions within the home environment, together with dedicated services from the measured quantities. In particular, H@H follows the context of the Active and Assisted Living environment to improve the well-being of elderly giving support to the users at home. In this paper, the authors describe the implemented final prototype software architecture implemented, the measuring protocol used in resting conditions and the implementation of three user services, providing real-time feedback about the user health status.

Notes

Acknowledgements

This work has been funded by the Italian Ministry of Education, University and Research, under grant no. SCN_00558—Italian Smart-Cities Project “Health@Home”. The authors would like to thank the H@H partners (in particular Whirlpool, Elica, Computer Solutions, University of Rome “La Sapienza”) and Prof. Emanuele Frontoni (UNIVPM) for their technical support within the development of the software architecture.

References

  1. 1.
    Acampora, G., Cook, D. J., Rashidi, P., & Vasilakos, A. V. (2013). A survey on ambient intelligence in healthcare. Proceedings of the IEEE, 101(12), 2470–2494.CrossRefGoogle Scholar
  2. 2.
    Casaccia, S., Pietroni, F., Calvaresi, A., Scalise, L., & Revel, G. M. (2016). Smart monitoring of user’s health at home: Performance evaluation and signal processing of a wearable sensor for measurement of Heart Rate and Breathing Rate. In International Conference on Bio-Inspired System and Signal Processing, BIOSTEC.Google Scholar
  3. 3.
    Cosoli, G., Casacanditella, L., Pietroni, F., Calvaresi, A., Revel, G. M., & Scalise, L. (2015, May). A novel approach for features extraction in physiological signals. In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 380–385).Google Scholar
  4. 4.
    Ferreira, F., Dias, F., Braz, J., Santos, R., Nascimento, R., Ferreira, C., et al. (2013). Protege: A mobile health application for the elder-caregiver monitoring paradigm. Procedia Technology, 9, 1361–1371.CrossRefGoogle Scholar
  5. 5.
    Forkan, A., Khalil, I., & Tari, Z. (2014). CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living. Future Generation Computer Systems, 35, 114–127.CrossRefGoogle Scholar
  6. 6.
    Kleinberger, T., Becker, M., Ras, E., Holzinger, A., & Müller, P. (2007, July). Ambient intelligence in assisted living: Enable elderly people to handle future interfaces. In International Conference on Universal Access in Human-Computer Interaction (pp. 103–112). Berlin: Springer.Google Scholar
  7. 7.
    Lanier, J. B., Mote, M. B., & Clay, E. C. (2011). Evaluation and management of orthostatic hypotension. American Family Physician, 84(5).Google Scholar
  8. 8.
    Li, P., Wang, Y., Tian, Y., Zhou, T. S., & Li, J. S. (2017). An automatic user-adapted physical activity classification method using smartphones. IEEE Transactions on Biomedical Engineering, 64(3), 706–714.Google Scholar
  9. 9.
    Liu, L., Stroulia, E., Nikolaidis, I., Miguel-Cruz, A., & Rincon, A. R. (2016). Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics, 91, 44–59.CrossRefGoogle Scholar
  10. 10.
    Mendes, J., Simões, H., Rosa, P., Costa, N., Rabadão, C., & Pereira, A. (2014). Secure low-cost solution for elder’s ecardio surveillance. Procedia Computer Science, 27, 46–56.CrossRefGoogle Scholar
  11. 11.
    Palatini, P., & Rizzoni, D. (2008). Linee Guida della Società Italiana dell’Ipertensione Arteriosa sulla misurazione convenzionale e automatica della pressione arteriosa nello studio medico, a domicilio e nelle 24 ore. Technical re-port, Societa Italiana dell’Ipertensione Arteriosa.Google Scholar
  12. 12.
    Pescosolido, L., Berta, R., Scalise, L., Revel, G. M., De Gloria, A., & Orlandi, G. (2016, September). An IoT-inspired cloud-based web service architecture for e-Health applications. In IEEE International Smart Cities Conference (ISC2) (pp. 1–4).Google Scholar
  13. 13.
    Pietroni, F., Casaccia, S., Revel, G. M., & Scalise, L. (2016, April). Methodologies for continuous activity classification of user through wearable devices: Feasibility and preliminary investigation. In Sensors Applications Symposium (SAS), 2016 IEEE (pp. 1–6).Google Scholar
  14. 14.
    Revel, G. M., Arnesano, M., & Pietroni, F. (2015). Integration of real-time metabolic rate measurement in a low-cost tool for the thermal comfort monitoring in AAL environments. In Ambient assisted living (pp. 101–110). Berlin: Springer International Publishing.Google Scholar
  15. 15.
    Rowland, D. T. (2012). Population aging: The transformation of societies (Vol. 3). Berlin: Springer Science & Business Media.CrossRefGoogle Scholar
  16. 16.
    Scalise, L., Pietroni, F., Casaccia, S., Revel, G. M., Monteriù, A., Prist, M., … & Pescosolido, L. (2016, September). Implementation of an “at-home” e-health system using heterogeneous devices. In IEEE International Smart Cities Conference (ISC2) (pp. 1–4).Google Scholar
  17. 17.
    Siegel, C., & Dorner, T. E. (2017). Information technologies for active and assisted living–Influences to the quality of life of an ageing society. International Journal of Medical Informatics.Google Scholar
  18. 18.
    Vildjiounaite, E., Mäkelä, S. M., Keränen, T., Kyllönen, V., Huotari, V., Järvinen, S., & Gimel’farb, G. (2016). Unsupervised illness recognition via in-home monitoring by depth cameras. Pervasive and Mobile Computing.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Filippo Pietroni
    • 1
  • Sara Casaccia
    • 1
    Email author
  • Gian Marco Revel
    • 1
  • Mariorosario Prist
    • 1
  • Andrea Monteriù
    • 1
  • Sauro Longhi
    • 1
  • Lorenzo Scalise
    • 1
  1. 1.Università Politecnica delle MarcheAnconaItaly

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