Development of the Decision Support System in Treatment of Arterial Hypertension - Application of Artificial Neural Networks for Evaluation of Heart Rate Variability Signals
Anton Dolganov, Vladimir Kublanov, David Belo, Hugo Gamboa
2018
Abstract
The article presents first step of the decision support system development in treatment of arterial hypertension. Results of arterial hypertension diagnostic task by short-term signals of heart rate variability are presented. The tilt test study was used as the functional load. The peculiarity of this work is application of neural networks for this task. The different number of hidden layers in the neural networks and different number of neurons in hidden layers were tested in this study. The classification accuracy of the neural networks was compared with those of simple machine learning classifiers. The following steps of the decision support system development are declared.
DownloadPaper Citation
in Harvard Style
Dolganov A., Kublanov V., Belo D. and Gamboa H. (2018). Development of the Decision Support System in Treatment of Arterial Hypertension - Application of Artificial Neural Networks for Evaluation of Heart Rate Variability Signals.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: NENT, ISBN 978-989-758-279-0, pages 325-331. DOI: 10.5220/0006728903250331
in Bibtex Style
@conference{nent18,
author={Anton Dolganov and Vladimir Kublanov and David Belo and Hugo Gamboa},
title={Development of the Decision Support System in Treatment of Arterial Hypertension - Application of Artificial Neural Networks for Evaluation of Heart Rate Variability Signals},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: NENT,},
year={2018},
pages={325-331},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006728903250331},
isbn={978-989-758-279-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: NENT,
TI - Development of the Decision Support System in Treatment of Arterial Hypertension - Application of Artificial Neural Networks for Evaluation of Heart Rate Variability Signals
SN - 978-989-758-279-0
AU - Dolganov A.
AU - Kublanov V.
AU - Belo D.
AU - Gamboa H.
PY - 2018
SP - 325
EP - 331
DO - 10.5220/0006728903250331