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Authors: Vladimir Kublanov 1 ; Anton Dolganov 1 and Yan Kazakov 2

Affiliations: 1 Ural Federal University, Russian Federation ; 2 Ural State Medical University, Russian Federation

ISBN: 978-989-758-212-7

Keyword(s): Heart Rate Variability, Arterial Hypertension, Classification, Discriminant Analysis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: The paper presents investigation of the diagnostic possibilities of the arterial hypertension using linear and quadratic combinations of the heart rate variability signals features. For this study, two groups were considered: healthy volunteers and patients suffering from the arterial hypertension of the II-III degree. For the study, features of statistical, geometric, spectral, nonlinear and multifractal methods were investigated. Results of the analysis have shown that among studied combinations four feature sets (heart rate, features of the VLF frequency band and LF/HF ratio) have the highest classification accuracy – 93%.

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Paper citation in several formats:
Kublanov, V.; Dolganov, Anton Y. and Kazakov, Y. (2017). Diagnostics of the Arterial Hypertension by Means of the Discriminant Analysis - Analysis of the Heart Rate Variability Signals Features Combinations.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017) ISBN 978-989-758-212-7, pages 291-298. DOI: 10.5220/0006107902910298

@conference{nent17,
author={Vladimir Kublanov. and Dolganov, Anton Y. and Yan Kazakov.},
title={Diagnostics of the Arterial Hypertension by Means of the Discriminant Analysis - Analysis of the Heart Rate Variability Signals Features Combinations},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017)},
year={2017},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006107902910298},
isbn={978-989-758-212-7},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: NENT, (BIOSTEC 2017)
TI - Diagnostics of the Arterial Hypertension by Means of the Discriminant Analysis - Analysis of the Heart Rate Variability Signals Features Combinations
SN - 978-989-758-212-7
AU - Kublanov, V.
AU - Dolganov, Anton Y.
AU - Kazakov, Y.
PY - 2017
SP - 291
EP - 298
DO - 10.5220/0006107902910298

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