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Nonlinear dynamics in cardiac conduction.

D T Kaplan1, J M Smith, B E Saxberg

  • 1Harvard-MIT, Division of Health Sciences and Technology, Cambridge, Massachusetts 02139, USA.

Mathematical Biosciences
|January 1, 1988
PubMed
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This study uses a cellular-automation model to simulate heart electrical conduction, revealing insights into normal rhythms and arrhythmias. The model helps understand complex conduction patterns and heart rhythm disturbances.

Area of Science:

  • Cardiology
  • Computational Biology
  • Nonlinear Dynamics

Background:

  • Electrical conduction in the heart exhibits complex behaviors.
  • These behaviors include phenomena from nonlinear dynamics such as phase locking and chaos.
  • Understanding these dynamics is crucial for analyzing heart rhythm disturbances.

Purpose of the Study:

  • To present a cellular-automation model for simulating cardiac electrical conduction.
  • To demonstrate the model's ability to replicate normal heart rhythms and various arrhythmias.
  • To explore the application of percolation theory in analyzing complex conduction patterns.

Main Methods:

  • Development of a simple cellular-automation model.
  • Simulation of electrical conduction patterns in the heart.
Keywords:
NASA Discipline CardiopulmonaryNASA Discipline Number 21-10NASA Program Biomedical ResearchNon-NASA Center

Related Experiment Videos

  • Application of percolation theory for analyzing self-sustaining conduction patterns.

    • Main Results:

    • The cellular-automation model successfully simulates normal cardiac electrical conduction.
    • The model replicates a wide range of disturbances in heart rhythm.
    • Percolation theory provides a framework for analyzing complex, self-sustaining conduction patterns.

    Conclusions:

    • Cellular-automation models are effective tools for studying cardiac electrical conduction.
    • The model offers insights into the mechanisms underlying normal heart rhythms and arrhythmias.
    • Percolation theory aids in understanding the development of complex electrical activity in the heart.