Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction

Layli S. Goldoozian, Antonio R. Hidalgo-Muñoz, Vicente Zarzoso, Edmond Zahedi

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

    Abstract

    Short-term interaction between heart rate (HR) and physiological measures like blood pressure and respiration reveals relevant information about autonomic nervous system (ANS) function. Complex mathematical models for describing their couplings have been proposed in the literature. However, an accurate estimation of their parameters in an inverse modeling problem is crucial to extract reliable ANS related indices. This study considers a physiologically-based model of the cardiovascular-respiratory system and ANS control that presents the neural and mechanical effects of respiration separately. The estimation method is evaluated on synthetic signals. An accurate estimation of the highest-sensitivity model parameter (intrinsic HR) is achieved with an error of 4:7 ± 3:4% over the actual values. One of the parameters reflecting the amplitude of the respiratory-mediated variations presents an even better approximation with a mean relative error as low as 3:8±3:3%. Our results show that most of the high-sensitivity parameters and also respiratory-related parameters that are specifically considered in our physiologically-based framework can be well approximated regardless of their initial values.

    Original languageEnglish
    Title of host publicationComputing in Cardiology
    PublisherIEEE Computer Society
    Pages617-620
    Number of pages4
    Volume42
    ISBN (Print)9781509006854
    DOIs
    Publication statusPublished - 16 Feb 2016
    Event42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
    Duration: 6 Sep 20159 Sep 2015

    Other

    Other42nd Computing in Cardiology Conference, CinC 2015
    CountryFrance
    CityNice
    Period6/9/159/9/15

    Fingerprint

    Autonomic Nervous System
    Neurology
    Parameter estimation
    Theoretical Models
    Mathematical models
    Respiration
    Heart Rate
    Respiratory system
    Blood pressure
    Cardiovascular System
    Respiratory System
    Blood Pressure

    ASJC Scopus subject areas

    • Cardiology and Cardiovascular Medicine
    • Computer Science(all)

    Cite this

    Goldoozian, L. S., Hidalgo-Muñoz, A. R., Zarzoso, V., & Zahedi, E. (2016). Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction. In Computing in Cardiology (Vol. 42, pp. 617-620). [7410986] IEEE Computer Society. https://doi.org/10.1109/CIC.2015.7410986

    Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction. / Goldoozian, Layli S.; Hidalgo-Muñoz, Antonio R.; Zarzoso, Vicente; Zahedi, Edmond.

    Computing in Cardiology. Vol. 42 IEEE Computer Society, 2016. p. 617-620 7410986.

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

    Goldoozian, LS, Hidalgo-Muñoz, AR, Zarzoso, V & Zahedi, E 2016, Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction. in Computing in Cardiology. vol. 42, 7410986, IEEE Computer Society, pp. 617-620, 42nd Computing in Cardiology Conference, CinC 2015, Nice, France, 6/9/15. https://doi.org/10.1109/CIC.2015.7410986
    Goldoozian LS, Hidalgo-Muñoz AR, Zarzoso V, Zahedi E. Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction. In Computing in Cardiology. Vol. 42. IEEE Computer Society. 2016. p. 617-620. 7410986 https://doi.org/10.1109/CIC.2015.7410986
    Goldoozian, Layli S. ; Hidalgo-Muñoz, Antonio R. ; Zarzoso, Vicente ; Zahedi, Edmond. / Parameter estimation of a mathematical model describing the cardiovascular-respiratory interaction. Computing in Cardiology. Vol. 42 IEEE Computer Society, 2016. pp. 617-620
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