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The integral pulse frequency modulation model with time-varying threshold: application to heart rate variability analysis during exercise stress testing.

Authors
  • Bailón, Raquel1
  • Laouini, Ghailen
  • Grao, César
  • Orini, Michele
  • Laguna, Pablo
  • Meste, Olivier
  • 1 Communications Technology Group (GTC), Aragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain. [email protected] , (Spain)
Type
Published Article
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Mar 01, 2011
Volume
58
Issue
3
Pages
642–652
Identifiers
DOI: 10.1109/TBME.2010.2095011
PMID: 21138798
Source
Medline
License
Unknown

Abstract

In this paper, an approach for heart rate variability analysis during exercise stress testing is proposed based on the integral pulse frequency modulation (IPFM) model, where a time-varying threshold is included to account for the nonstationary mean heart rate. The proposed technique allows the estimation of the autonomic nervous system (ANS) modulating signal using the methods derived for the IPFM model with constant threshold plus a correction, which is shown to be needed to take into account the time-varying mean heart rate. On simulations, this technique allows the estimation of the ANS modulation on the heart from the beat occurrence time series with lower errors than the IPFM model with constant threshold (1.1% ± 1.3% versus 15.0% ± 14.9%). On an exercise stress testing database, the ANS modulation estimated by the proposed technique is closer to physiology than that obtained from the IPFM model with constant threshold, which tends to overestimate the ANS modulation during the recovery and underestimate it during the initial rest.

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