SAM Smart Asthma Monitoring: Focus on Air Quality Data and Internet of Things (IoT)

Isaac, N; Sampath, N; Gay, V

SAM Smart Asthma Monitoring: Focus on Air Quality Data and Internet of Things (IoT)

Isaac, N Sampath, N Gay, V

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Publication Type:: Conference Proceeding
Citation:: International Symposium on Medical Information and Communication Technology, ISMICT, 2018, 2018-March
Issue Date:: 2018-12-11

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Full metadata record

Field	Value	Language
dc.contributor.author	Isaac, N	en_US
dc.contributor.author	Sampath, N	en_US
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995	en_US
dc.date.issued	2018-12-11	en_US
dc.identifier.citation	International Symposium on Medical Information and Communication Technology, ISMICT, 2018, 2018-March	en_US
dc.identifier.isbn	9781538633892	en_US
dc.identifier.issn	2326-828X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129735
dc.identifier.uri	http://hdl.handle.net/10453/129735
dc.description.abstract	© 2018 IEEE. Nowadays, mobile technologies and in particular the Internet of Things (IoT), data and machine learning technologies can have a positive impact on the way we manage our health. This paper focuses on Asthma, a condition that affects 10% of Australians. This research collects and analyses data about air quality using New South Wales regional area data and data obtained from our faculty smart building (UTS building 11). Based on a persons location and travel plans, we analyze the Air Quality Index (AQI) and provide a personalized and localized feedback to individuals living with asthma and help them manage their condition better.	en_US
dc.relation.ispartof	International Symposium on Medical Information and Communication Technology, ISMICT	en_US
dc.relation.isbasedon	10.1109/ISMICT.2018.8573737	en_US
dc.title	SAM Smart Asthma Monitoring: Focus on Air Quality Data and Internet of Things (IoT)	en_US
dc.type	Conference Proceeding
utslib.description.version	Published	en_US
utslib.citation.volume	2018-March	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	embargoed
utslib.copyright.embargo	2020-04-26T00:00:00+1000
pubs.publication-status	Published	en_US
pubs.volume	2018-March	en_US

Abstract:

© 2018 IEEE. Nowadays, mobile technologies and in particular the Internet of Things (IoT), data and machine learning technologies can have a positive impact on the way we manage our health. This paper focuses on Asthma, a condition that affects 10% of Australians. This research collects and analyses data about air quality using New South Wales regional area data and data obtained from our faculty smart building (UTS building 11). Based on a persons location and travel plans, we analyze the Air Quality Index (AQI) and provide a personalized and localized feedback to individuals living with asthma and help them manage their condition better.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/129735