Abstract
This paper proposed an approach of intelligent healthcare services to support health monitoring of old people through the project named SAAPHO. Here, definition and architecture of the proposed healthcare services are presented considering six different health parameters such as: (1) physical activity, (2) blood pressure, (3) glucose, (4) medication compliance, (5) pulse monitoring and (6) weight monitoring. The outcome of the proposed services is evaluated in a case study where total 201 subjects from Spain and Slovenia are involved for user requirements analysis considering (1) end users, (2) clinicians, and (3) field study analysis perspectives. The result shows the potentiality and competence of the proposed healthcare services for the users.
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References
WHO: Healthy ageing is vital for development - prevention of non-communicable diseases throughout the life course is key says new who policy roadmap (2002). http://www.who.int/mediacentre/news/releases/release24/en/. Accessed 30 June 2014
Connecting and caring: innovations for healthy ageing. http://www.who.int/bulletin/volumes/90/3/12-020312/en/index.html. Accessed 30 June 2014
Jennifer, L.S., David, O.W., Barbara, P.Y., Debra, J.J., Michaela, E.M., Joshua, J.P., Joseph, M., Véronique, L.R., Jon, O.E., Walter, A.R.: Why do patients visit their doctors? Assessing the most prevalent conditions in a defined US population. US National Library of Medicine National Institutes of Health (2014)
Varshney, U.: Pervasive healthcare and wireless health monitoring. J. Mobile Netw. Appl. Arch. 12(2–3), 113–127 (2007)
Catalogue of Projects, Ambient Assisted Living Joint Programme (AAL JP) (2011). http://www.aal-europe.eu/wp-content/uploads/2012/04/AALCatalogue_onlineV4.pdf. Accessed 30 June 2014
Medication Compliance Monitoring System (MCMS), Cybernet Medical. http://www.cybernetmedical.com/index.php/mcms. Accessed 30 June 2014
eCAP monitor for bottled medications, Information Mediary Corporation (IMC). http://informationmediary.com/ecap. Accessed 30 June 2014
Culhane, K.M., O’Connor, M., Lyons, D., Lyons, G.M.: Accelerometers in rehabilitation medicine for older adults. Acad. J. Age Ageing 34(6), 556–560 (2005)
Alberti, K.G.M.M., Zimmet, P.Z.: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation. J. Diabetes Med. 15(7), 539–553 (1998)
Strowig, S.M., Raskin, P.: Improved glycemic control in intensively treated type 1 diabetic patients using blood glucose meters with storage capability and computer-assisted analysis. J. Diabetes Care 21, 1694–1698 (1998)
Understanding blood pressure readings. American Heart Association (2011). http://www.heart.org/HEARTORG/Conditions/HighBloodPressure/AboutHighBloodPressure/Understanding-Blood-Pressure-Readings_UCM_301764_Article.jsp. Accessed 30 June 2014
Why exercise with a Heart Rate Monitor. https://zsig.com/content/why_exercise_with_a_heart_rate_monitor_/. Accessed 30 June 2014
Domenech, S., Rivero, J., Coll-Planas, L., Sainz, F.J., Reissner, A., Miralles, F.: Involving older people in the design of an innovative information and communication technologies system promoting active aging: the saapho project. J. Accessibility Des. All 3(1), 13–27 (2013)
Sala, P., Tazari, S., Farshchian, B., Furfari, F.: The universAAL Reference Architecture. universAAL Deliverable D1.3 – E (2013)
Deurenberg, P., Weststrate, J.A., Seidell, J.C.: Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br. J. Nutr. 65(2), 105–114 (1991)
Ahmed, M.U., Banaee, H., Loutfi, A.: Health monitoring for elderly: an application using case-based reasoning and cluster analysis. ISRN Artif. Intell. 2013, 11 (2013). 380239
Ahmed, M.U., Loutfi, A.: Physical activity identification using supervised machine learning and based on pulse rate. Adv. Comput. Sci. Appl. 4, 209–217 (2013)
Acknowledgments
This work has been supported by the project named SAAPHO (aal-2010-3-035) is funded by Vinnova Sweden’s Innovation Funding Agency and by the Call AAL (Ambient Assisted Living) within the Call 3, ICT-based solutions for advancement of older persons’ independence and participation in the self-serve society.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ahmed, M.U., Banaee, H., Rafael-Palou, X., Loutfi, A. (2015). Intelligent Healthcare Services to Support Health Monitoring of Elderly. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_26
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DOI: https://doi.org/10.1007/978-3-319-19656-5_26
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