Literature DB >> 10829412

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

S Cavalcanti1.   

Abstract

The influence of the arterial baroreflex on the heart rate variability is analysed by using a mathematical model of heart rate baroreceptor control. The basic mechanisms of the model, sufficient to elicit heart rate variability include: systemic circulation, a non-pulsatile cardiac pump and nonlinear negative feedback simulating arterial baroreflex closed-loop control of the heart rate (-3 bpm/mmHg as maximum reflex sensitivity). The latter reproduces, through two distinct delayed branches (0.8 and 2.8 s), the short-term autonomic control effected respectively by sympathetic and parasympathetic divisions on the sinus node. By means of this model, two distinct self-sustained oscillatory components with incommensurate frequencies (0.1 and 0.26 Hz) are reproduced. Frequencies of these two oscillatory components closely agree with the main heart rate rhythms in humans (0.09 +/- 0.01 Hz and 0.26 +/- 0.01 Hz). When sympathetic-mediated regulation prevails over parasympathetic activity, simulated heart rate oscillation is characterised by a low frequency (approximately 0.1 Hz). On the other hand, a high-frequency oscillatory component (approximately 0.26 Hz) appears when enhanced vagal activation or partial inhibition of the sympathetic control is simulated. When both autonomic divisions are operative, both low- and high-frequency components are present and the heart rate oscillates quasi-periodically. This variability in heart rate at different frequencies is reproduced without including outside perturbations and is due to the nonlinear delayed structure of the closed-loop control. Bifurcation theory of nonlinear system is used to explain the high sensitivity of the heart rate oscillatory pattern to model parameter changes.

Entities:  

Mesh:

Year:  2000        PMID: 10829412     DOI: 10.1007/bf02344775

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  33 in total

1.  Influence of cardiac neural inputs on rhythmic variations of heart period in the cat.

Authors:  G F Chess; R M Tam; F R Calaresu
Journal:  Am J Physiol       Date:  1975-03

2.  Analysis of oscillatory components of short-term heart rate variability in hemodynamically stable and unstable patients during hemodialysis.

Authors:  S Cavalcanti; S Severi; G Enzmann
Journal:  Artif Organs       Date:  1998-02       Impact factor: 3.094

3.  Modeling of cardiovascular variability using a differential delay equation.

Authors:  S Cavalcanti; E Belardinelli
Journal:  IEEE Trans Biomed Eng       Date:  1996-10       Impact factor: 4.538

Review 4.  Circulation: overall regulation.

Authors:  A C Guyton; T G Coleman; H J Granger
Journal:  Annu Rev Physiol       Date:  1972       Impact factor: 19.318

5.  Autonomic control of cardiac pacemaker activity and atrioventricular transmission.

Authors:  M N Levy; H Zieske
Journal:  J Appl Physiol       Date:  1969-10       Impact factor: 3.531

6.  Nonlinear rate sensitivity of the carotid sinus reflex as a consequence of static and dynamic nonlinearities in baroreceptor behavior.

Authors:  G N Franz
Journal:  Ann N Y Acad Sci       Date:  1969-04-21       Impact factor: 5.691

7.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control.

Authors:  S Akselrod; D Gordon; F A Ubel; D C Shannon; A C Berger; R J Cohen
Journal:  Science       Date:  1981-07-10       Impact factor: 47.728

8.  Time-course and frequency dependence of sympathetic stimulation-evoked inhibition of vagal effects at the sinus node.

Authors:  M R Warner
Journal:  J Auton Nerv Syst       Date:  1995-03-18

9.  Influences of neural mechanisms on heart period and arterial pressure variabilities in quadriplegic patients.

Authors:  S Guzzetti; C Cogliati; C Broggi; C Carozzi; D Caldiroli; F Lombardi; A Malliani
Journal:  Am J Physiol       Date:  1994-03

10.  Unstable state of the arterial pressure control system after a mild hemorrhage.

Authors:  H Hosomi
Journal:  Am J Physiol       Date:  1978-11
View more
  4 in total

1.  Factors that affect pulse wave time transmission in the monitoring of cardiovascular system.

Authors:  Jong Yong A Foo; Stephen J Wilson; Ping Wang
Journal:  J Clin Monit Comput       Date:  2008-03-19       Impact factor: 2.502

2.  Analysis for the Influence of ABR Sensitivity on PTT-Based Cuff-Less Blood Pressure Estimation before and after Exercise.

Authors:  Yang Xu; Peng Ping; Dong Wang; Weigong Zhang
Journal:  J Healthc Eng       Date:  2018-10-08       Impact factor: 2.682

3.  Central regulation of heart rate and the appearance of respiratory sinus arrhythmia: new insights from mathematical modeling.

Authors:  Alona Ben-Tal; Sophie S Shamailov; Julian F R Paton
Journal:  Math Biosci       Date:  2014-07-06       Impact factor: 2.144

Review 4.  Seven Mathematical Models of Hemorrhagic Shock.

Authors:  Luciano Curcio; Laura D'Orsi; Andrea De Gaetano
Journal:  Comput Math Methods Med       Date:  2021-06-03       Impact factor: 2.238

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.