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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationBIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
EditorsHugo Gamboa, Sergi Bermudez i Badia, Giovanni Saggio, Ana Fred
PublisherSciTePress
Pages325-331
Number of pages7
Volume4
ISBN (Electronic)9789897582790
DOIs
Publication statusPublished - 1 Jan 2018
Event11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal
Duration: 19 Jan 201821 Jan 2018

Conference

Conference11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
CountryPortugal
CityFunchal, Madeira
Period19/01/1821/01/18

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Keywords

  • Arterial Hypertension
  • Artificial Neural Networks
  • Classification
  • Heart Rate Variability

Cite this

Dolganov, A., Kublanov, V., Belo, D., & 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 H. Gamboa, S. Bermudez i Badia, G. Saggio, & A. Fred (Eds.), BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (Vol. 4, pp. 325-331). SciTePress. https://doi.org/10.5220/0006728903250331