On Modeling the Cardiovascular System and Predicting the Human Heart Rate under Strain

Melanie Ludwig, Ashok Meenakshi Sundaram, Matthias Füller, Alexander Asteroth, Erwin Prassler

Abstract

With the increasing average age of the population in many developed countries, afflictions like cardiovascular diseases have also increased. Exercising has a proven therapeutic effect on the cardiovascular system and can counteract this development. To avoid overstrain, determining an optimal training dose is crucial. In previous research, heart rate has been shown to be a good measure for cardiovascular behavior. Hence, prediction of the heart rate from work load information is an essential part in models used for training control. Most heart-rate-based models are described in the context of specific scenarios, and have been evaluated on unique datasets only. In this paper, we conduct a joint evaluation of existing approaches to model the cardiovascular system under a certain strain, and compare their predictive performance. For this purpose, we investigated some analytical models as well as some machine learning approaches in two scenarios: prediction over a certain time horizon into the future, and estimation of the relation between work load and heart rate over a whole training session.

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Paper Citation


in Harvard Style

Ludwig M., Meenakshi Sundaram A., Füller M., Asteroth A. and Prassler E. (2015). On Modeling the Cardiovascular System and Predicting the Human Heart Rate under Strain . In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell, ISBN 978-989-758-102-1, pages 106-117. DOI: 10.5220/0005449001060117


in Bibtex Style

@conference{ict4ageingwell15,
author={Melanie Ludwig and Ashok Meenakshi Sundaram and Matthias Füller and Alexander Asteroth and Erwin Prassler},
title={On Modeling the Cardiovascular System and Predicting the Human Heart Rate under Strain},
booktitle={Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,},
year={2015},
pages={106-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005449001060117},
isbn={978-989-758-102-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,
TI - On Modeling the Cardiovascular System and Predicting the Human Heart Rate under Strain
SN - 978-989-758-102-1
AU - Ludwig M.
AU - Meenakshi Sundaram A.
AU - Füller M.
AU - Asteroth A.
AU - Prassler E.
PY - 2015
SP - 106
EP - 117
DO - 10.5220/0005449001060117