An architecture for health data collection using off-the-shelf health sensors

Jalali, R; Dauda, A; El-Khatib, K; McGregor, C; Surti, C

An architecture for health data collection using off-the-shelf health sensors

Jalali, R Dauda, A El-Khatib, K McGregor, C

Surti, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings, 2016, pp. 1-6
Issue Date:: 2016-08-04

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Field	Value	Language
dc.contributor.author	Jalali, R
dc.contributor.author	Dauda, A
dc.contributor.author	El-Khatib, K
dc.contributor.author	McGregor, C https://orcid.org/0000-0002-0491-4403
dc.contributor.author	Surti, C
dc.date	2016-05-15
dc.date.accessioned	2023-02-02T20:15:01Z
dc.date.available	2023-02-02T20:15:01Z
dc.date.issued	2016-08-04
dc.identifier.citation	2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings, 2016, pp. 1-6
dc.identifier.isbn	9781467391726
dc.identifier.uri	http://hdl.handle.net/10453/165857
dc.description.abstract	Nowadays, many people, and not only the ones with health problems are being more health conscious. With the advent of sensor based technologies, it has become possible to create wearable wireless biometric sensor networks, known as Body Sensor Networks (BSNs) which allow people to collect their health data and send it remotely for further analysis and storage. Research has shown that the use of BSNs enables remote wireless diagnosis of various health conditions. In this paper, we propose a novel layered architecture for smart healthcare system where health community service providers, patients, doctors and hospitals have access to real time data which has been gathered using various sensory mechanisms. An experimental case study has been implemented for evaluation. Early results show benefits of this system in improving the quality of health care.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings
dc.relation.ispartof	2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
dc.relation.isbasedon	10.1109/MeMeA.2016.7533815
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An architecture for health data collection using off-the-shelf health sensors
dc.type	Conference Proceeding
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 Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-02-02T20:14:57Z
pubs.finish-date	2016-05-18
pubs.publication-status	Published
pubs.start-date	2016-05-15

Abstract:

Nowadays, many people, and not only the ones with health problems are being more health conscious. With the advent of sensor based technologies, it has become possible to create wearable wireless biometric sensor networks, known as Body Sensor Networks (BSNs) which allow people to collect their health data and send it remotely for further analysis and storage. Research has shown that the use of BSNs enables remote wireless diagnosis of various health conditions. In this paper, we propose a novel layered architecture for smart healthcare system where health community service providers, patients, doctors and hospitals have access to real time data which has been gathered using various sensory mechanisms. An experimental case study has been implemented for evaluation. Early results show benefits of this system in improving the quality of health care.

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http://hdl.handle.net/10453/165857