Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Arterial baroreflex influence on heart rate variability: a mathematical model-based analysis.

S Cavalcanti1

  • 1Department of Electronics, Computer Science and Systems, University of Bologna, Italy. scavalcanti@deis.unibo.it

Medical & Biological Engineering & Computing
|June 1, 2000
PubMed
Summary

A mathematical model reveals how the arterial baroreflex influences heart rate variability. The model simulates autonomic control, generating distinct low and high frequencies that match human heart rhythms.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The association of HPV genotype with the regression, persistence or progression of low-grade squamous intraepithelial lesions.

Experimental and molecular pathology·2015
Same author

Electrophysiological response to dialysis: the role of dialysate potassium content and profiling.

Contributions to nephrology·2005
Same author

Real-time supervisor system based on trinary logic to control experiments with behaving animals and humans.

Journal of neurophysiology·2005
Same author

alpha-Amino-3-hydroxy-5-methyl-isoxazole-4-propionate receptors in spinal cord motor neurons are altered in transgenic mice overexpressing human Cu,Zn superoxide dismutase (Gly93-->Ala) mutation.

Neuroscience·2003
Same author

Heart rate response to hemodialysis-induced changes in potassium and calcium levels.

Journal of nephrology·2002
Same author

Model based sensitivity analysis of arterial pressure response to hemodialysis induced hypovolemia.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2001

Area of Science:

  • Physiology
  • Mathematical Biology
  • Cardiovascular System

Background:

  • Heart rate variability (HRV) is a crucial indicator of cardiovascular health.
  • The arterial baroreflex plays a significant role in regulating heart rate.
  • Understanding the mechanisms underlying HRV is essential for diagnosing and managing cardiovascular conditions.

Purpose of the Study:

  • To analyze the influence of the arterial baroreflex on heart rate variability using a mathematical model.
  • To identify the key components and dynamics of baroreceptor control that generate HRV.
  • To investigate the relationship between autonomic nervous system activity and HRV patterns.

Main Methods:

  • Development of a mathematical model of heart rate baroreceptor control.

Related Experiment Videos

  • Inclusion of systemic circulation, a non-pulsatile cardiac pump, and nonlinear negative feedback for baroreflex control.
  • Simulation of sympathetic and parasympathetic nervous system influences through distinct delayed feedback branches.

    • Main Results:

    • The model successfully reproduced two distinct self-sustained oscillatory components in heart rate at frequencies of 0.1 Hz and 0.26 Hz.
    • These simulated frequencies closely matched the main heart rate rhythms observed in humans.
    • Sympathetic dominance resulted in low-frequency oscillations, while enhanced parasympathetic activity or sympathetic inhibition led to high-frequency oscillations.

    Conclusions:

    • The mathematical model demonstrates that nonlinear, delayed feedback within the arterial baroreflex control system can generate heart rate variability without external perturbations.
    • The interplay between sympathetic and parasympathetic activity dictates the dominance of low or high-frequency oscillations in heart rate.
    • Bifurcation theory explains the sensitivity of heart rate oscillation patterns to changes in model parameters, highlighting the complex dynamics of cardiovascular regulation.