An Intelligent Medical Care Solution for Elderly People with Long Term Health Condition Based on Wireless Sensors Network Technology

Riyad Elsaadi, Mahmoud Shafik

Abstract


Older Adults are facing serious difficulties, on a regular basis, to manage their own daily life activities. To live independently and have a good quality of life is quite a challenge, since the majorly of them have long term health condition diseases. Health services providers across EU, informal and formal carer plays major roles in providing the necessary services and support. Diseases on this society are one of the leading causes of death, from which thousands of people die every year.  Many of the non-communicable diseases can be prevented by tackling associated risk factors. The cost of treatment of such diseases in the EU is estimated to be over 70% of the Health Service budget. Treatment includes home-care, medication, consultation and many other relevant services. However, these services are still not adequate, due to the lack of implemented technology that enable the older adults to manage their daily life activities independently, taking medications, receive the necessary health services on time, which, in many cases leads to loss of lives and waste of NHS resources. Daily life activities management and telehealth remote monitoring system is one of the potential innovative approaches, to improve the older adult’s quality of life, help live independently, improve NHS services, sustain its economic growth and improve social development. It is a rapidly developing concept where daily life activities, health condition, medical information is transferred through interactive data, and audiovisual media and shared between services provider, informal and formal carer. This paper presents the initial outcomes of the ongoing research program that is planned to develop an Integrated Assisted Living Technology (ALT) multi-functional case driven wireless ad-hoc management system of the daily life activities of older adults using smart sensors and actuators, 3d-video, audio, radio frequency identification and wireless technology, combined with secure cloud and semantic data engineering.

Keywords


Assisted Living Technology; Wireless Sensors Network; Healthcare; Telehealth; Telecare; Digital Health Care System;

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References


Alwan A et al. Monitoring and surveillance of chronic noncommunicable diseases: progress and capacity in high-burden countries. The Lancet, 2010, 376:1861–1868. CrossRef

The global burden of disease: 2004 update. Geneva, World Health Organization, 2008.

Anderson G. Chronic conditions: making the case for ongoing care. Baltimore, MD: John Hopkins University; 2004.

Mahmoud Shafik & Alex Robert Campbell (2012), ‘6D Smart Medication Container’, Ref. No.: RRS/26769GB, Swindell & Pearson Ltd.

Mahmoud Shafik (2012), ‘6D Assisted Living Healthcare Monitoring and Medication Management System’, Ref. No.: RRS/1306959GB, Swindell & Pearson Ltd.

Brown L., Grundlhner B., Penders J., and Gyselinckx B., (2009) “Body Area Network for Monitoring Autonomic Nervous System Responses,” 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare – Pervasive Health 2009, Article number 5173603, April. CrossRef

Department of Health. (2012a). Long Term Conditions Compendium of Information In DH (Ed.). London: HMSO.

Haynes, P., Hill, M., & Banks, L. (2010). Older People’s Family Contacts and Long-term Care Expenditure in OECD Countries: A Comparative Approach Using Qualitative Comparative Analysis. Social Policy & Administration, 44(1), 67-84. CrossRef

Stirling, T. (2011). Pathways to prevention: maximising the opportunities of the integration of health and social care and housing for the bene t of low income, older home owners: HACT.

Care Quality Commission. (2011). The state of health care and adult social care in England. London: TSO.

Morris, J. (2012). Integrated care for frail older people 2012: a clinical overview. Journal of Integrated Care, 20(4), 257 - 264. CrossRef

Grootegoed, E., & Van Dijk, D. (2012). The Return of the Family? Welfare State Retrenchment and Client Autonomy in Long-Term Care. Journal of Social Policy, 41(4), 677-694. CrossRef

HM Treasury and Department of Communities and Local Government. (March 2010). Total Place: a whole area approach to public services. London HM Treasury (DCLG).

Banzi, Massimo, and Michael Shiloh. Make: Getting Started with Arduino: The Open Source Electronics Prototyping Platform. Maker Media, Inc., 2014.

Chai J., and Yang H., (2008) “The research of the community healthcare network based on ZigBee technology,” 7th Asian-Pacific Conference on Medical and Biological Engineering, vol.19, pp. 567-570, Beijing, China,April. CrossRef

Guo W. W., Healy W. M., and Zhou M., 2010 “An Experimental Study of Interference Impacts on ZigBee-based Wireless Communication Inside Buildings,” In Proceedings of 2010 IEEE International Conference on Mechatronics and Automation (ICMA 2010), pp. 1982-1987, Xi’an, China. CrossRef

Gyselinckx B., Penders J., and Vullers R., (2007) “Potential and challenges of body area networks for cardiac monitoring,” J. Electrocardiology, vol. 40, pp. S165–S168. CrossRef

Hyun L. et al., “Issues in data fusion for healthcare monitoring,” Proceedings of the 1st International Conference on Pervasive Technologies Related to Assistive Environments, Vol.282, pp.1-8, Athens, Greece, July 2008.

Jovanov E., Milenkovic A., Otto C., Groen P. D., Johnson B, Warren S, and Taibi G, “A WBAN System for Ambulatory Monitoring of Physical Activity and Health Status: Applications and Challenges,” IEEE-EMBS 2005, 27th Annual International Conference, pp. 3810 - 3813, Shanghai, China, Jan 2005. CrossRef

Lee J. S., Su Y. W., and Shen C. "A comparative study of wireless protocols: bluetooth, uwb, zigbee, and wi-fi," Proceedings of The 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 46-51,Taipei, Nov. 2007. CrossRef

Malan, D., Fulford-Jones, T., Welsh, M., and Moulton, S., “Codeblue: an ad-hoc sensor network infrastructure for emergency medical care,” in Proc. of the 1st Int. Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2004.

Yan, C., and Chung, W.Y., “IEEE 802.15.4 Wireless Mobile Application for Healthcare system,” International Confer-ence on Convergence Information Technology, ICCIT 2007, Article number 4420456, pp.1433-1438, Gyeongju, Korea, Nov. 2007.

Hafez Fouad, Hesham Farouk, " Design and Implementation of Video Conferencing Cloud-based Network using VoIP for Remote Health Monitoring in Telemedicine System", International Journal of Computer Informatics & Technological Engineering IJCITE, INDIA, Vol:1, Mar-April 2014.

HafezFouad, “ContinuousHealth-monitoringforearlyDetectionofPatient by Web Telemedicine System “, International Conference on Circuits,

Systems and Signal Processing, Saint Petersburg State Politechnical University, Russia, Sep,23-25, 2014. 2014

Hafez Fouad, “Patient-oriented Web Telemedicine system For Health Monitoring ", Journal of Communication and Computer, CA 91745, USA,Vol.11, Issue 2, pp-168-178, Feb., 2014.

U.S. Department of Health and Human Services and Services Administration Bureau of Health Professionals (2000). The Pharmacist Workforce: A Study of the Supply and Demand for Pharmacists.

Sarasohn-Kahn J (2011). The Connected Patient: Charting the Vital Signs of Remote Health Monitoring, California Health Care Foundation.

American Telemedicine Association (2007). Telehealth and Health Care Provider Shortages. American telemedicine Association Position Statement.

Edwards J, et al (2009). Hype Cycle for Telemedicine, Gartner Industry Research. Publication G00169011.

Bergmo TS (2010). Economic Evaluation in Telemedicine – Still Room for Improvement, J Telemed Telecare 16.5 (2010): 229-31. CrossRef


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