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Authors: Anton Dolganov 1 ; Vladimir Kublanov 1 ; David Belo 2 and Hugo Gamboa 2

Affiliations: 1 Ural Federal University, Russian Federation ; 2 Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Portugal

Keyword(s): Heart Rate Variability, Artificial Neural Networks, Classification, Arterial Hypertension.

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.

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Paper citation in several formats:
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 - NENT; ISBN 978-989-758-279-0; ISSN 2184-4305, SciTePress, pages 325-331. DOI: 10.5220/0006728903250331

@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 - NENT},
year={2018},
pages={325-331},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006728903250331},
isbn={978-989-758-279-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - 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
IS - 2184-4305
AU - Dolganov, A.
AU - Kublanov, V.
AU - Belo, D.
AU - Gamboa, H.
PY - 2018
SP - 325
EP - 331
DO - 10.5220/0006728903250331
PB - SciTePress

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