Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Haddad, A; Zhang, Y; Su, S; Celler, B; Nguyen, H

Modelling and regulating of cardio-respiratory response for the enhancement of interval training

Haddad, A Zhang, Y Su, S

Celler, B Nguyen, H

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Publication Type:: Journal Article
Citation:: BioMedical Engineering Online, 2014, 13 (1)
Issue Date:: 2014-02-06

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Field	Value	Language
dc.contributor.author	Haddad, A	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Celler, B	en_US
dc.contributor.author	Nguyen, H https://orcid.org/0000-0003-3373-8178	en_US
dc.date.available	2014-01-22	en_US
dc.date.issued	2014-02-06	en_US
dc.identifier.citation	BioMedical Engineering Online, 2014, 13 (1)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34066
dc.description.abstract	Background: The interval training method has been a well known exercise protocol which helps strengthen and improve one's cardiovascular fitness.Purpose: To develop an effective training protocol to improve cardiovascular fitness based on modelling and analysis of Heart Rate (HR) and Oxygen Uptake (VO2) dynamics.Methods: In order to model the cardiorespiratory response to the onset and offset exercises, the (K4b2, Cosmed) gas analyzer was used to monitor and record the heart rate and oxygen uptake for ten healthy male subjects. An interval training protocol was developed for young health users and was simulated using a proposed RC switching model which was presented to accommodate the variations of the cardiorespiratory dynamics to running exercises. A hybrid system model was presented to describe the adaptation process and a multi-loop PI control scheme was designed for the tuning of interval training regime.Results: By observing the original data for each subject, we can clearly identify that all subjects have similar HR and VO2 profiles. The proposed model is capable to simulate the exercise responses during onset and offset exercises; it ensures the continuity of the outputs within the interval training protocol. Under some mild assumptions, a hybrid system model can describe the adaption process and accordingly a multi-loop PI controller can be designed for the tuning of interval training protocol. The self-adaption feature of the proposed controller gives the exerciser the opportunity to reach his desired setpoints after a certain number of training sessions.Conclusions: The established interval training protocol targets a range of 70-80% of HRmax which is mainly a training zone for the purpose of cardiovascular system development and improvement. Furthermore, the proposed multi-loop feedback controller has the potential to tune the interval training protocol according to the feedback from an individual exerciser. © 2014 Haddad et al.; licensee BioMed Central Ltd.	en_US
dc.relation.ispartof	BioMedical Engineering Online	en_US
dc.relation.isbasedon	10.1186/1475-925X-13-9	en_US
dc.subject.classification	Biomedical Engineering	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Oxygen	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Adaptation, Physiological	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Models, Biological	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Respiratory Physiological Phenomena	en_US
dc.title	Modelling and regulating of cardio-respiratory response for the enhancement of interval training	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	13	en_US
utslib.for	090602 Control Systems, Robotics and Automation	en_US
utslib.for	0903 Biomedical Engineering	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
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

Background: The interval training method has been a well known exercise protocol which helps strengthen and improve one's cardiovascular fitness.Purpose: To develop an effective training protocol to improve cardiovascular fitness based on modelling and analysis of Heart Rate (HR) and Oxygen Uptake (VO2) dynamics.Methods: In order to model the cardiorespiratory response to the onset and offset exercises, the (K4b2, Cosmed) gas analyzer was used to monitor and record the heart rate and oxygen uptake for ten healthy male subjects. An interval training protocol was developed for young health users and was simulated using a proposed RC switching model which was presented to accommodate the variations of the cardiorespiratory dynamics to running exercises. A hybrid system model was presented to describe the adaptation process and a multi-loop PI control scheme was designed for the tuning of interval training regime.Results: By observing the original data for each subject, we can clearly identify that all subjects have similar HR and VO2 profiles. The proposed model is capable to simulate the exercise responses during onset and offset exercises; it ensures the continuity of the outputs within the interval training protocol. Under some mild assumptions, a hybrid system model can describe the adaption process and accordingly a multi-loop PI controller can be designed for the tuning of interval training protocol. The self-adaption feature of the proposed controller gives the exerciser the opportunity to reach his desired setpoints after a certain number of training sessions.Conclusions: The established interval training protocol targets a range of 70-80% of HRmax which is mainly a training zone for the purpose of cardiovascular system development and improvement. Furthermore, the proposed multi-loop feedback controller has the potential to tune the interval training protocol according to the feedback from an individual exerciser. © 2014 Haddad et al.; licensee BioMed Central Ltd.

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http://hdl.handle.net/10453/34066