DocumentCode :
3255439
Title :
A framework and ontology for mobile sensor platforms in home health management
Author :
Hennessy, Mark ; Oentojo, Chris ; Ray, Sambaran
Author_Institution :
Carnegie Mellon Univ. Silicon Valley, Moffett Field, CA, USA
fYear :
2013
fDate :
25-25 May 2013
Firstpage :
31
Lastpage :
35
Abstract :
In an effort to reduce healthcare costs, home healthcare devices are seeing increased use. However, many of these devices are specialized, operate independently and use proprietary interfaces, diluting the cost savings. Smartphones offer a way to retain these cost savings by serving as a sensor hub within the home. In this paper we describe an extensible framework that combines a mobile device interfacing with health sensors in the home, a set of ontologies to map sensor data to clinical information standards such as IEEE 11073, and a cloud-based reasoning and mapping system built with OWL, SPARQL and SPIN. This approach capitalizes on the ease of use and low cost of smartphones, and the computational power and flexibility of a cloud-based semantic web reasoner. A proof of concept implementation is presented.
Keywords :
IEEE standards; cloud computing; health care; ontologies (artificial intelligence); smart phones; IEEE 11073; OWL; SPARQL; SPIN; clinical information standards; cloud-based reasoning system; cloud-based semantic Web reasoner; healthcare costs; home health management; home healthcare devices; map sensor data; mapping system; mobile device; mobile sensor platforms; proprietary interfaces; sensor hub; smartphones; Context; Hospitals; Interoperability; Ontologies; Smart phones; Standards; IEEE 11073; OWL; SPINMap; mobile healthcare; ontology; semantic mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Mobile-Enabled Systems (MOBS), 2013 1st International Workshop on the
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/MOBS.2013.6614220
Filename :
6614220
Link To Document :
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