Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme

Argha, A; Ye, L; Cao, K; Su, SW; Celler, BG

Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme

Argha, A

Ye, L Cao, K

Su, SW

Celler, BG

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, pp. 1312 - 1315
Issue Date:: 2017-09-13

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Field	Value	Language
dc.contributor.author	Argha, A https://orcid.org/0000-0002-8276-9774	en_US
dc.contributor.author	Ye, L	en_US
dc.contributor.author	Cao, K https://orcid.org/0000-0002-4473-2065	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Celler, BG	en_US
dc.date.issued	2017-09-13	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2017, pp. 1312 - 1315	en_US
dc.identifier.isbn	9781509028092	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125685
dc.description.abstract	© 2017 IEEE. This study was devoted to developing a new auxiliary-model-based damped recursive least squares (AMB-DRLS) by which the heart rate dynamics can be identified in a real-time manner. Unlike the current conventional schemes for heart rate dynamics modeling, the proposed scheme can simultaneously identify the HR response dynamics and compensate for the existing HR variability while it can also cope with the blowup phenomenon. The performance of the proposed AMB-DRLS scheme was experimentally verified using fifteen healthy male participants who performed treadmill trials following single-cycle square wave protocol. The obtained results revealed a significant difference in goodness-of-fit for the considered parameter estimation schemes. As a result, we conclude that the proposed AMB-DRLS method is able to identify the heart rate response dynamics in a real-time manner while preventing the blowup phenomenon.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2017.8037073	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Exercise Test	en_US
dc.subject.mesh	Least-Squares Analysis	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Healthy Volunteers	en_US
dc.title	Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme	en_US
dc.type	Conference Proceeding
utslib.for	1103 Clinical Sciences	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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. This study was devoted to developing a new auxiliary-model-based damped recursive least squares (AMB-DRLS) by which the heart rate dynamics can be identified in a real-time manner. Unlike the current conventional schemes for heart rate dynamics modeling, the proposed scheme can simultaneously identify the HR response dynamics and compensate for the existing HR variability while it can also cope with the blowup phenomenon. The performance of the proposed AMB-DRLS scheme was experimentally verified using fifteen healthy male participants who performed treadmill trials following single-cycle square wave protocol. The obtained results revealed a significant difference in goodness-of-fit for the considered parameter estimation schemes. As a result, we conclude that the proposed AMB-DRLS method is able to identify the heart rate response dynamics in a real-time manner while preventing the blowup phenomenon.

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http://hdl.handle.net/10453/125685