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Updated: Sep 14, 2025

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Control model-based reliability modeling and analysis of the human baroreflex regulation function.

Yi-Yang Shangguan1,2, Bo-Yuan Li1,2, Xiao-Yang Li1,2

  • 1School of Reliability and Systems Engineering, Beihang University, Beijing, China.

Annals of the New York Academy of Sciences
|July 21, 2025
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Summary
This summary is machine-generated.

This study models baroreflex regulation function (BRF) reliability to assess steady-state performance. Findings reveal how parasympathetic function and external stimuli impact BRF, aiding disease diagnosis and health management.

Keywords:
baroreflex regulationblood pressure homeostasiscontrol modelreliabilitysteady state

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Control Systems

Background:

  • The baroreflex regulation function (BRF) is crucial for maintaining blood pressure homeostasis.
  • Current research often overlooks the steady-state performance of BRF, focusing instead on physiological indices.
  • A comprehensive understanding of BRF steady-state performance is needed for accurate health assessments.

Purpose of the Study:

  • To systematically model and analyze the reliability of the baroreflex regulation function (BRF) in a steady state.
  • To address the gap in research by examining BRF performance from a reliability perspective.
  • To develop a framework for assessing BRF reliability considering multisource uncertainties.

Main Methods:

  • Constructed an interdisciplinary BRF model based on control theory.
  • Defined four key performance indices for BRF.
  • Applied a belief reliability methodology to quantify BRF reliability.
  • Analyzed multisource uncertainties affecting BRF performance.
  • Conducted simulation studies to evaluate model parameters.

Main Results:

  • Quantified the impact of multisource uncertainties on BRF reliability.
  • Demonstrated the influence of parasympathetic function on BRF performance.
  • Showcased the effect of external stimuli on BRF steady-state function.
  • Identified key parameters influencing BRF reliability and performance thresholds.

Conclusions:

  • The developed reliability model provides a systematic approach to evaluating BRF steady-state performance.
  • Findings highlight the significant roles of parasympathetic activity and external factors in modulating BRF.
  • This research offers a potential tool for disease diagnosis and personalized health management strategies.