Independent living is one of the main challenges linked to an increasing ageing population and concerns both patients and healthy elderlies. A lot of research has focused on the area of ambient-assisted living (AAL) technologies towards an intelligent caring home environment able to offer personalized context-aware applications to serve the user's needs. This paper proposes the use of advised sensing, context-aware and cloud-based lifestyle reasoning to design an innovative eHealth platform that supports highly personalized smart services to primary users. The architecture of the platform has been designed in accordance with the interoperability requirements and standards as proposed by ITU-T and Continua Alliance. In particular, we define the interface dependencies and functional requirements needed, to allow eCare and eHealth vendors to manufacture interoperable sensors, ambient and home networks, telehealth platforms, health support applications and software services. Finally, data mining techniques in relation to the proposed architecture are also proposed to enhance the overall AAL experience of the users.
['Mihail Rumenov Mihaylov', 'Albena D. Mihovska', 'Sofoklis Kyriazakos', 'Ramjee Prasad']
Interoperable eHealth platform for personalized smart services