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A semi-automatic computerized method to measure baroreflex-mediated heart rate responses that reduces interobserver

P P S Soares1, M R Ushizima, E M Krieger

  • 1Unidade de Hipertensão, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, SP, Brasil. pedro.soares@incor.usp.br

Brazilian Journal of Medical and Biological Research = Revista Brasileira De Pesquisas Medicas E Biologicas
|June 4, 2005
PubMed
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A new semi-automatic method improves objective estimation of arterial baroreflex sensitivity using blood pressure and heart rate data. This robust tool enhances cardiovascular reflex studies by reducing user variability.

Area of Science:

  • Physiology
  • Pharmacology
  • Biomedical Engineering

Background:

  • Arterial baroreflex sensitivity (aBRS) estimation traditionally relies on subjective interpretation of blood pressure (BP) and heart rate (HR) variability.
  • Pharmacological impulse stimuli, while useful, are susceptible to intrinsic signal variability and observer bias.
  • A need exists for a more objective and reproducible method to quantify aBRS.

Purpose of the Study:

  • To develop and validate a semi-automatic method (PRM) for estimating cardiovascular reflex sensitivity.
  • To compare the PRM with the traditional manual method (TDM) in terms of objectivity and user dispersion.
  • To provide an objective, robust, and user-friendly tool for aBRS research.

Main Methods:

  • Beat-to-beat BP and HR time series from Wistar rats were analyzed using a semi-automatic method (PRM) developed in Matlab.

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  • The PRM incorporates zero-phase low-pass filtering and interactive parameter selection.
  • Baroreflex sensitivity indexes (deltaHR/deltaBP) were calculated and compared against TDM using Bland-Altman plots.

    • Main Results:

    • The PRM demonstrated significantly lower user dispersion compared to TDM for both reflex bradycardia (0.21 +/- 0.26 vs 0.60 +/- 0.46 bpm/mmHg) and tachycardia (0.28 +/- 0.28 vs 0.83 +/- 0.62 bpm/mmHg).
    • Statistical analysis confirmed P < 0.001 for the reduction in dispersion with the PRM.
    • The PRM automatically calculates parameters, enhancing objectivity.

    Conclusions:

    • The proposed semi-automatic method (PRM) offers an objective and robust approach to estimating arterial baroreflex sensitivity.
    • This method significantly reduces inter-observer variability compared to traditional techniques.
    • The PRM is a valuable and easy-to-use tool for advancing cardiovascular reflex research.