Advertisement

The REMOTE AAL Project: Remote Health and Social Care for Independent Living of Isolated Elderly with Chronic Conditions

  • Angelos Bekiaris
  • Alexandros Mourouzis
  • Nicos Maglaveras
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6767)

Abstract

REMOTE is an AAL project that aims at advancing the state-of-the-art in fields of tele-healthcare and ambient intelligence by enhancing the elderly’s home with audio-visual, sensor, motoric monitoring and automation abilities to trace vital signs, activity, behaviour and health condition, and detect risks and critical situations, as well as provide, proactively and reactively, effective and efficient support at home. This paper presents the project objectives, the approach and principles endorsed, and the expected results. Overall, REMOTE is characterised by: a user-centered philosophy and consistent involvement of users; processes for reaching consensus among all stakeholders; strong commitment to ethical and legal issues; sound scientific and evidence-based methods (incl. real context pilots in 6 countries) to measure usability, impact and acceptance of the developments by elderly populations.

Keywords

Chronic conditions Tele-healthcare Ambient Assisted Living 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    WHO. The world health report 2002. Reducing risks, promoting healthy life. World Health Organization, Geneva (2002) Google Scholar
  2. 2.
    Botsis, T., Demiris, G., Pedersen, S., Hartvigsen, G.: Home telecare technologies for the elderly. Journal of Telemedicine and Telecare 14, 333–337 (2008)CrossRefGoogle Scholar
  3. 3.
    Emiliani, P.-L., Stephanidis, C.: Universal Access to Ambient Intelligence Environments: Opportunities and Challenges for People with Disabilities. IBM Systems Journal, Special Issue on Accessibility 44(3), 605–619 (2005)CrossRefGoogle Scholar
  4. 4.
    Bonato, P.: Advances in wearable technology and applications in physical medicine and rehabilitation. Journal of NeuroEngineering and Rehabilitation 2, 2 (2005)CrossRefGoogle Scholar
  5. 5.
    Issarny, V., Sacchetti, D., Tartanoglu, F., Sailhan, F., Chibout, R., Levy, N., Talamona, A.: Developing Ambient Intelligence Systems: A Solution based on Web Services. Journal of Automated Software Engineering 12 (2005)Google Scholar
  6. 6.
    Kornowski, R., Zeeli, D., Averbuch, M., et al.: Intensive home-care surveillance prevents hospitalization and improves morbidity rates among elderly patients with severe congestive heart failure. Am. Heart J. 129, 762–766 (1995)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Angelos Bekiaris
    • 1
  • Alexandros Mourouzis
    • 2
  • Nicos Maglaveras
    • 2
    • 3
  1. 1.Centre for Research and Technology Hellas (CERTH)Hellenic Institute of TransportThessalonikiGreece
  2. 2.Centre for Research and Technology Hellas (CERTH)Institute of Biomedical and Biomolecular ResearchThessalonikiGreece
  3. 3.The Medical School, Lab of Medical InformaticsAristotle University (AUTH)ThessalonikiGreece

Personalised recommendations