Optimizing heart rate regulation for safe exercise

Su, SW; Huang, S; Wang, L; Celler, BG; Savkin, AV; Guo, Y; Cheng, TM

Optimizing heart rate regulation for safe exercise

Su, SW

Huang, S

Wang, L Celler, BG Savkin, AV Guo, Y Cheng, TM

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Publication Type:: Journal Article
Citation:: Annals of Biomedical Engineering, 2010, 38 (3), pp. 758 - 768
Issue Date:: 2010-03-01

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Field	Value	Language
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Huang, S https://orcid.org/0000-0002-6124-4178	en_US
dc.contributor.author	Wang, L	en_US
dc.contributor.author	Celler, BG	en_US
dc.contributor.author	Savkin, AV	en_US
dc.contributor.author	Guo, Y	en_US
dc.contributor.author	Cheng, TM	en_US
dc.date.available	2009-11-16	en_US
dc.date.issued	2010-03-01	en_US
dc.identifier.citation	Annals of Biomedical Engineering, 2010, 38 (3), pp. 758 - 768	en_US
dc.identifier.issn	0090-6964	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13645
dc.description.abstract	Safe exercise protocols are critical for effective rehabilitation programs. This paper aims to develop a novel control strategy for an automated treadmill system to reduce the danger of injury during cardiac rehabilitation. We have developed a control-oriented nonparametric Hammerstein model for the control of heart rate during exercises by using support vector regression and correlation analysis. Based on this nonparametric model, a model predictive controller has been built. In order to guarantee the safety of treadmill exercise during rehabilitation, this new automated treadmill system is capable of optimizing system performance over predefined ranges of speed and acceleration. The effectiveness of the proposed approach was demonstrated with six subjects by having their heart rate track successfully a predetermined heart rate. © 2009 Biomedical Engineering Society.	en_US
dc.relation.ispartof	Annals of Biomedical Engineering	en_US
dc.relation.isbasedon	10.1007/s10439-009-9849-0	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Exercise Therapy	en_US
dc.subject.mesh	Therapy, Computer-Assisted	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Models, Cardiovascular	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Physical Exertion	en_US
dc.subject.mesh	Feedback, Physiological	en_US
dc.title	Optimizing heart rate regulation for safe exercise	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	38	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	09 Engineering	en_US
utslib.for	11 Medical and Health Sciences	en_US
dc.location.activity	ISI:000275746900020	en_US
dc.location.activity	United States
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/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

Safe exercise protocols are critical for effective rehabilitation programs. This paper aims to develop a novel control strategy for an automated treadmill system to reduce the danger of injury during cardiac rehabilitation. We have developed a control-oriented nonparametric Hammerstein model for the control of heart rate during exercises by using support vector regression and correlation analysis. Based on this nonparametric model, a model predictive controller has been built. In order to guarantee the safety of treadmill exercise during rehabilitation, this new automated treadmill system is capable of optimizing system performance over predefined ranges of speed and acceleration. The effectiveness of the proposed approach was demonstrated with six subjects by having their heart rate track successfully a predetermined heart rate. © 2009 Biomedical Engineering Society.

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http://hdl.handle.net/10453/13645