Robust preprocessing for health care monitoring framework

Ahmad, NF; Hoang, DB; Phung, MH

Robust preprocessing for health care monitoring framework

Ahmad, NF Hoang, DB

Phung, MH

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Publication Type:: Conference Proceeding
Citation:: 2009 11th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2009, 2009, pp. 169 - 174
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Ahmad, NF	en_US
dc.contributor.author	Hoang, DB https://orcid.org/0000-0003-1798-4926	en_US
dc.contributor.author	Phung, MH	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	2009 11th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2009, 2009, pp. 169 - 174	en_US
dc.identifier.isbn	9781424450145	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12025
dc.description.abstract	Remote health care monitoring is an emerging application that helps to reduce the cost of health care and at the same time improve its quality. However, by its nature, medical sensor data is often unreliable and massive as the data is collected from numerous sensors operating in noisy environments. Therefore, ensuring the reliability of the sensor data and the scalability of the health care monitoring services are among major challenge and is a determining factor in the success of the system. In this paper, we propose a robust and flexible preprocessing module as part of an active health care monitoring framework. It is responsible for preparing the sensor data and performing some initial assessment of the data for input to later modules. The proposed preprocessing architecture contains five stages: validation, transformation, cleaning, reduction and cross-verification. The module is evaluated using synthetic blood pressure data. ©2009 IEEE.	en_US
dc.relation.ispartof	2009 11th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2009	en_US
dc.relation.isbasedon	10.1109/HEALTH.2009.5406196	en_US
dc.title	Robust preprocessing for health care monitoring framework	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Sydney Australia	en_US
dc.location.activity	WOS:000285064900027
dc.location.activity	Sydney, AUSTRALIA
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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Remote health care monitoring is an emerging application that helps to reduce the cost of health care and at the same time improve its quality. However, by its nature, medical sensor data is often unreliable and massive as the data is collected from numerous sensors operating in noisy environments. Therefore, ensuring the reliability of the sensor data and the scalability of the health care monitoring services are among major challenge and is a determining factor in the success of the system. In this paper, we propose a robust and flexible preprocessing module as part of an active health care monitoring framework. It is responsible for preparing the sensor data and performing some initial assessment of the data for input to later modules. The proposed preprocessing architecture contains five stages: validation, transformation, cleaning, reduction and cross-verification. The module is evaluated using synthetic blood pressure data. ©2009 IEEE.

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http://hdl.handle.net/10453/12025