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Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering

By Eloisa Vargiu, Juan Manuel Fernández and Felip Miralles

Abstract

Telemonitoring Quality of Life of individuals is the base for current and future telemedicine and teleassistance solutions which will become paramount in the sustainability and effectiveness of healthcare systems. In the framework of the BackHomeEuropeanR&Dproject,which aims to provide a telemonitoring and home support system using Brain Computer Interfaces and other assistive technologies to improve autonomy and quality of life of disabled people, we propose a methodology to assess and telemonitor quality of life of individuals based on the awareness of user context. This methodology holds a generic approach to be applied to other eHealth use cases and is based on the acquisition, fusion and processing of heterogeneous data coming from sensors, devices, and user interaction, and the knowledge inferred from the correlation of this processed data and the input coming from our proposed questionnaires mapped to standard taxonomies. The proposed methodology is very ambitious and although we are presenting preliminary validation, it will have to be formally validated and enhanced with the study of representative user data which will be acquired within BackHome and other related projects

Topics: Home support, Pervasive computing, Quality of life, Telemonitoring, Artificial Intelligence
Publisher: 'Springer Science and Business Media LLC'
Year: 2014
DOI identifier: 10.1007/978-3-642-40621-8_1
OAI identifier: oai:iris.unica.it:11584/207733
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