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Estimation of the heart rate variability features via recurrent neural networks
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Porumb, Mihaela, Castaldo, Rossana and Pecchia, Leandro (2018) Estimation of the heart rate variability features via recurrent neural networks. In: World Congress on Medical Physics and Biomedical Engineering 2018, Prague, Czech Republic, 3-8 Jun 2018. Published in: IFMBE Proceedings, 68 (1). pp. 335-340. ISBN 9789811090349. doi:10.1007/978-981-10-9035-6_61 ISSN 1680-0737.
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Official URL: https://doi.org/10.1007/978-981-10-9035-6_61
Abstract
Heart rate variability (HRV) analysis has increasingly become a promising marker for the assessment of the autonomic nervous system. The easy derivation of the HRV has determined its popularity, being successfully used in many research and clinical studies. However, the conventional HRV analysis is performed on 5 minutes ECG recordings which in e-health monitoring might be unsuitable, due to real-time requirements. Thus, the aim of this study is to evaluate the association between the raw ECG heartbeats and the HRV features to further reduce the number of heart beats required for the HRV estimation enabling real time monitoring. We propose a deep learning based system, specifically a recurrent neural network for the inference of two time domain HRV features: AVNN (the average of all the NN intervals) and IHR (instantaneous heart rate). The obtained results suggest that both AVNN and IHR can be accurately inferred from a shorter ECG interval of about 1 minute, with a mean error of < 5% of the computed HRV features.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QP Physiology | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Heart rate monitoring, Neural networks (Neurobiology) | ||||||
Journal or Publication Title: | IFMBE Proceedings | ||||||
Publisher: | Springer | ||||||
ISBN: | 9789811090349 | ||||||
ISSN: | 1680-0737 | ||||||
Editor: | Lhotska, Lenka and Sukupova, Lucie and Lacković, Igor and Ibbott, Geoffrey S. | ||||||
Official Date: | 30 May 2018 | ||||||
Dates: |
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Volume: | 68 | ||||||
Number: | 1 | ||||||
Page Range: | pp. 335-340 | ||||||
DOI: | 10.1007/978-981-10-9035-6_61 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 7 August 2018 | ||||||
Date of first compliant Open Access: | 30 May 2019 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | World Congress on Medical Physics and Biomedical Engineering 2018 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Prague, Czech Republic | ||||||
Date(s) of Event: | 3-8 Jun 2018 | ||||||
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