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Authors: Lu Wang 1 ; Steven W. Su 2 ; Gregory S. H. Chan 1 ; Branko G. Celler 1 ; Teddy M. Cheng 1 and Andrey V. Savkin 1

Affiliations: 1 Biomedical System Lab, School of Electrical Engineering & Telecommunications, Faculty of Engineering, University of New South Wales, Australia ; 2 Biomedical System Lab, School of Electrical Engineering & Telecommunications, Faculty of Engineering, University of New South Wales; Key University Research Centre for Health Technologies, Faculty of Engineering, University of Technology, Australia

ISBN: 978-989-8111-18-0

Keyword(s): Cardiovascular system, Nonlinear modelling, Cardiovascular responses to Exercise, Machine learning.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Abstract: This study experimentally investigates the relationships between central cardiovascular variables and oxygen uptake based on nonlinear analysis and modeling. Ten healthy subjects were studied using cycle-ergometry exercise tests with constant workloads ranging from 25 Watt to 125 Watt. Breath by breath gas exchange, heart rate, cardiac output, stroke volume and blood pressure were measured at each stage. The modeling results proved that the nonlinear modeling method (Support Vector Regression) outperforms traditional regression method (reducing Estimation Error between 59% and 80%, reducing Testing Error between 53% and 72%) and is the ideal approach in the modeling of physiological data, especially with small training data set.

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Paper citation in several formats:
Wang L.; W. Su S.; S. H. Chan G.; G. Celler B.; M. Cheng T.; V. Savkin A. and (2008). NONLINEAR MODELING OF CARDIOVASCULAR RESPONSE TO EXERCISE.In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 40-46. DOI: 10.5220/0001059000400046

@conference{biosignals08,
author={Lu Wang and Steven {W. Su} and Gregory {S. H. Chan} and Branko {G. Celler} and Teddy {M. Cheng} and Andrey {V. Savkin}},
title={NONLINEAR MODELING OF CARDIOVASCULAR RESPONSE TO EXERCISE},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={40-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001059000400046},
isbn={978-989-8111-18-0},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - NONLINEAR MODELING OF CARDIOVASCULAR RESPONSE TO EXERCISE
SN - 978-989-8111-18-0
AU - Wang, L.
AU - W. Su, S.
AU - S. H. Chan, G.
AU - G. Celler, B.
AU - M. Cheng, T.
AU - V. Savkin, A.
PY - 2008
SP - 40
EP - 46
DO - 10.5220/0001059000400046

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