DocumentCode :
2348529
Title :
Towards distributed real-time physiological processing in mobile environments
Author :
Meneghello, James ; Lee, Kevin ; Gilleade, Kiel
Author_Institution :
Sch. of Inf. Technol., Murdoch Univ., Perth, WA, Australia
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
2524
Lastpage :
2529
Abstract :
Physiological monitoring has been used in a wide range of scenarios to assist in disease diagnosis, athlete monitoring and other activities. There are also many opportunities in analysing aggregate data from groups of people rather than individuals such as public event monitoring or athletic team performance optimisation. Numerous difficulties exist pertaining to this, particularly concerning how to process and transform the resulting physiological data in real-time when many devices are producing data. This paper proposes a system that is designed to monitor, analyse and report physiological data in real-time by leveraging mobile devices as distributed processors.
Keywords :
biomedical telemetry; diseases; mobile handsets; athlete monitoring; athletic team performance optimisation; disease diagnosis; distributed processors; distributed real-time physiological processing; mobile devices; mobile environments; physiological data; public event monitoring; Base stations; Biomedical monitoring; Decision trees; Monitoring; Peer to peer computing; Real-time systems; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on
Conference_Location :
Sydney, NSW
ISSN :
2166-9570
Print_ISBN :
978-1-4673-2566-0
Electronic_ISBN :
2166-9570
Type :
conf
DOI :
10.1109/PIMRC.2012.6362782
Filename :
6362782
Link To Document :
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