Body Sensor networks for Mobile Health Monitoring

Gay, VC; Leijdekkers, P

Body Sensor networks for Mobile Health Monitoring

Gay, VC

Leijdekkers, P

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Publisher:: IEEE Computer Society
Publication Type:: Conference Proceeding
Citation:: 2010 Fourth International Conference on Digital society ICDS 2010, 2010, pp. 204 - 209
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Gay, VC https://orcid.org/0000-0002-4301-1995	en_US
dc.contributor.author	Leijdekkers, P https://orcid.org/0000-0003-3579-1175	en_US
dc.contributor.editor	Berntzen, L	en_US
dc.contributor.editor	Bodendorf, F	en_US
dc.contributor.editor	Lawrence, E	en_US
dc.contributor.editor	Perry, M	en_US
dc.contributor.editor	Smedberg, A	en_US
dc.date	2010-12-10	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	2010 Fourth International Conference on Digital society ICDS 2010, 2010, pp. 204 - 209	en_US
dc.identifier.isbn	978-0-7695-3953-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31493
dc.description.abstract	Abstractâ Remote ambulatory monitoring is widely seen as playing a key part in addressing the impending crisis in health care provision. We describe two mobile health solutions, one developed in the Netherlands and one in Australia. In both cases patientsâ biosignals are measured by means of body worn sensors which communicate wirelessly with a handheld device. Alarms and biosignals can be transmitted over wireless communication links to a remote location, and a remote health professional can view the biosignals via a web application. The clinical purposes are similar, however the technological approaches differ in some respects. We compare the two approaches and the experience gained working with a number of different patient groups and clinical specialties during trials in Europe and Australia.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartof	2010 Fourth International Conference on Digital society ICDS 2010	en_US
dc.rights	© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Body Sensor networks for Mobile Health Monitoring	en_US
dc.type	Conference Proceeding
utslib.location	St Maarten, Netherlands Antilles	en_US
utslib.location.activity	St Maarten, Netherlands Antilles	en_US
utslib.for	0899 Other Information and Computing Sciences	en_US
dc.location.activity	St Maarten, Netherlands Antilles
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 Computer Science
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	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	St Maarten, Netherlands Antilles	en_US
pubs.start-date	2010-12-10	en_US

Abstract:

Abstractâ Remote ambulatory monitoring is widely seen as playing a key part in addressing the impending crisis in health care provision. We describe two mobile health solutions, one developed in the Netherlands and one in Australia. In both cases patientsâ biosignals are measured by means of body worn sensors which communicate wirelessly with a handheld device. Alarms and biosignals can be transmitted over wireless communication links to a remote location, and a remote health professional can view the biosignals via a web application. The clinical purposes are similar, however the technological approaches differ in some respects. We compare the two approaches and the experience gained working with a number of different patient groups and clinical specialties during trials in Europe and Australia.

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http://hdl.handle.net/10453/31493