Biomedical Engineering and Elderly Support

Antonis S. Billis, Evdokimos I. Konstantinidis, Vicky Zilidou, Kush Wadhwa, Aristea Kyriaki Ladas and Panagiotis D. Bamidis
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Antonis S. Billis: Lab of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Evdokimos I. Konstantinidis: Lab of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Vicky Zilidou: Lab of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Kush Wadhwa: Global Security Intelligence, London, UK
Aristea Kyriaki Ladas: South-East European Research Center, Thessaloniki, Greece
Panagiotis D. Bamidis: Lab of Medical Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2013, vol. 2, issue 2, 21-37

Abstract: The undoubted growing percentage of senior population (age 65+) has been obvious in the modern society during the last few decades. Ambient Assisted Living (AAL) technologies arise as a promising means of elderly care, thereby reducing both carers’ workload and public health services costs. LongLastingMemories, an EU funded project, aimed at alleviating senior people mental and physical health problems by integrating state of the art computer-aided technology and prolonging their independent living by providing a smart home solution. Five rounds of multicentric pilots were planned and conducted in order to test that objectives such as accessibility, user acceptance and perceived effectiveness of the service were met by the final LLM prototype. A questionnaire survey was conducted after each pilot with several stakeholders, such as senior subjects and formal careers, proving the wide acceptance of our service and its applicability in the domain of elderly healthcare.

Date: 2013
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