Literature DB >> 15480669

A cardiovascular-respiratory control system model including state delay with application to congestive heart failure in humans.

Jerry J Batzel1, Franz Kappel, Susanne Timischl-Teschl.   

Abstract

This paper considers a model of the human cardiovascular-respiratory control system with one and two transport delays in the state equations describing the respiratory system. The effectiveness of the control of the ventilation rate is influenced by such transport delays because blood gases must be transported a physical distance from the lungs to the sensory sites where these gases are measured. The short term cardiovascular control system does not involve such transport delays although delays do arise in other contexts such as the baroreflex loop (see [46]) for example. This baroreflex delay is not considered here. The interaction between heart rate, blood pressure, cardiac output, and blood vessel resistance is quite complex and given the limited knowledge available of this interaction, we will model the cardiovascular control mechanism via an optimal control derived from control theory. This control will be stabilizing and is a reasonable approach based on mathematical considerations as well as being further motivated by the observation that many physiologists cite optimization as a potential influence in the evolution of biological systems (see, e.g., Kenner [29] or Swan [62]). In this paper we adapt a model, previously considered (Timischl [63] and Timischl et al. [64]), to include the effects of one and two transport delays. We will first implement an optimal control for the combined cardiovascular-respiratory model with one state space delay. We will then consider the effects of a second delay in the state space by modeling the respiratory control via an empirical formula with delay while the the complex relationships in the cardiovascular control will still be modeled by optimal control. This second transport delay associated with the sensory system of the respiratory control plays an important role in respiratory stability. As an application of this model we will consider congestive heart failure where this transport delay is larger than normal and the transition from the quiet awake state to stage 4 (NREM) sleep. The model can be used to study the interaction between cardiovascular and respiratory function in various situations as well as to consider the influence of optimal function in physiological control system performance.

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Year:  2004        PMID: 15480669     DOI: 10.1007/s00285-004-0293-3

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  37 in total

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Journal:  N Engl J Med       Date:  1999-09-23       Impact factor: 91.245

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Journal:  Circulation       Date:  1988-03       Impact factor: 29.690

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Journal:  N Engl J Med       Date:  1993-02-04       Impact factor: 91.245

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Journal:  J Biomed Eng       Date:  1983-04

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Authors:  S Javaheri
Journal:  N Engl J Med       Date:  1999-09-23       Impact factor: 91.245

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Authors:  J J Batzel; H T Tran
Journal:  J Math Biol       Date:  2000-07       Impact factor: 2.259

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Authors:  F S Grodins; J Buell; A J Bart
Journal:  J Appl Physiol       Date:  1967-02       Impact factor: 3.531

8.  Secondary pulmonary hypertension in chronic heart failure: the role of the endothelium in pathophysiology and management.

Authors:  D L Moraes; W S Colucci; M M Givertz
Journal:  Circulation       Date:  2000-10-03       Impact factor: 29.690

9.  Breathing during sleep in normal middle-aged subjects.

Authors:  J Krieger; N Maglasiu; E Sforza; D Kurtz
Journal:  Sleep       Date:  1990-04       Impact factor: 5.849

10.  Factors inducing periodic breathing in humans: a general model.

Authors:  M C Khoo; R E Kronauer; K P Strohl; A S Slutsky
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1982-09
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5.  Using a human cardiovascular-respiratory model to characterize cardiac tamponade and pulsus paradoxus.

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Journal:  Theor Biol Med Model       Date:  2009-08-06       Impact factor: 2.432

Review 6.  Seven Mathematical Models of Hemorrhagic Shock.

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