Literature DB >> 8573649

Controlling the dynamical behavior of a circle map model of the human heart.

M E Brandt1, G Chen.   

Abstract

One-dimensional circle maps are good models for describing the nonlinear dynamical behavior of two interacting oscillators. They have been employed to characterize the interaction between a periodic external forcing stimulus and an in vitro preparation of chick embryonic cardiac cells. They have also been used to model some human cardiac arrythmias such as modulated ventricular parasystole. In this paper, we describe several techniques involving engineering feedback control theory applied to a circle map model of human heart parasystole. Through simulations of the mathematical model, we demonstrate that a desired target phase relationship between the normal sinus rhythm and an abnormal ectopic pacemaker can be achieved rapidly with low-level external stimulation applied to the system. Specifically, we elucidate the linear, self-tuning, and nonlinear feedback approaches to control. The nonlinear methods are the fastest and most accurate, yet the most complex and computationally expensive to implement of the three types. The linear approach is the easiest to implement but may not be accurate enough in real applications, and the self-tuning methods are a compromise between the other two. The latter was successful in tracking a variety of period-1, period-2, and period-3 target phase trajectories of the heart model.

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Year:  1996        PMID: 8573649     DOI: 10.1007/bf00199132

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  8 in total

1.  Controlling chaos.

Authors: 
Journal:  Phys Rev Lett       Date:  1990-03-12       Impact factor: 9.161

2.  Theoretical computation of phase locking in embryonic atrial heart cell aggregates.

Authors:  W Z Zeng; M Courtemanche; L Sehn; A Shrier; L Glass
Journal:  J Theor Biol       Date:  1990-07-24       Impact factor: 2.691

3.  Is the normal heart a periodic oscillator?

Authors:  A Babloyantz; A Destexhe
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

4.  Applications of nonlinear dynamics to clinical cardiology.

Authors:  A L Goldberger; B J West
Journal:  Ann N Y Acad Sci       Date:  1987       Impact factor: 5.691

5.  Chaos and chaos control in biology.

Authors:  J N Weiss; A Garfinkel; M L Spano; W L Ditto
Journal:  J Clin Invest       Date:  1994-04       Impact factor: 14.808

6.  Cardiac arrhythmias and circle maps-A classical problem.

Authors:  Leon Glass
Journal:  Chaos       Date:  1991-07       Impact factor: 3.642

7.  Beyond pure parasystole: promises and problems in modeling complex arrhythmias.

Authors:  M Courtemanche; L Glass; M D Rosengarten; A L Goldberger
Journal:  Am J Physiol       Date:  1989-08

8.  Controlling cardiac chaos.

Authors:  A Garfinkel; M L Spano; W L Ditto; J N Weiss
Journal:  Science       Date:  1992-08-28       Impact factor: 47.728

  8 in total

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