DocumentCode :
672673
Title :
Ontology-based pervasive M2M healthcare environment
Author :
Chellouche, Soraya Ait ; Chalouf, Mohamed Aymen ; Lemlouma, Tayeb
Author_Institution :
IRISA Lab., Univ. of Rennes 1, Lannion, France
fYear :
2013
fDate :
1-3 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
The ageing population that becomes a predominant demographic feature in most countries raises new challenges in healthcare. Over the past years, the focus was shifted from institutional-based healthcare to automatic healthcare systems by leveraging the sensing technologies and the communication infrastructures. The aim is to provide the elderly and people with physical and/or cognitive impairment with intelligent and assistive health services in a pervasive, timely and cost effective manner. In this paper we propose an integrated healthcare framework that enables pervasive and personalized health services. The proposed framework is based on a M2M infrastructure towards high scalability and easy service deployment. In addition, using ontology as information model provides deep semantic and expressiveness in the domain knowledge enabling thus more interoperability and service personalization and automation through logic-based reasoning.
Keywords :
assisted living; cognition; geriatrics; inference mechanisms; medical computing; medical information systems; ontologies (artificial intelligence); open systems; ubiquitous computing; M2M infrastructure; ageing population; assistive health services; automatic healthcare systems; cognitive impairment people; communication infrastructures; demographic feature; domain knowledge; elderly people; information model; institutional-based healthcare; integrated healthcare framework; intelligent health services; interoperability; logic-based reasoning; machine-to-machine communications; ontology-based pervasive M2M healthcare environment; personalized health services; physical impairment people; sensing technology; service personalization; Artificial neural networks; Healthcare; M2M architecture; ontology; ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2013 First International Symposium on
Conference_Location :
Jinhua
Print_ISBN :
978-1-4799-0764-9
Type :
conf
DOI :
10.1109/Ubi-HealthTech.2013.6708062
Filename :
6708062
Link To Document :
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