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Computer simulation of the cardiac conduction system.

M Malik, T Cochrane, A J Camm

    Computers and Biomedical Research, an International Journal
    |October 1, 1983
    PubMed
    Summary
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    A new computer model simulates heart electrical activity and pathologies, generating electrocardiogram (ECG) curves. This tool aids in studying heart rhythms and pacemaker effects in various conditions.

    Area of Science:

    • Computational physiology
    • Biomedical engineering
    • Medical simulation

    Background:

    • Cardiac impulse transmission is complex, involving electrical activity and electropotential changes.
    • Understanding heart pathologies and their impact on electrical activity is crucial for diagnosis and treatment.
    • Existing models may not fully capture the range of cardiac pathologies or pacemaker interactions.

    Purpose of the Study:

    • To develop a discrete computer model simulating cardiac impulse transmission and electropotential changes.
    • To enable the description of common cardiac pathologies within the model.
    • To assess the effects of different pacemaker modes on heart rhythms under pathological conditions.

    Main Methods:

    • Development of a discrete computer model on a NORD-100 minicomputer using NORD-FORTRAN.

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  • Incorporation of descriptions for major pacemaker types.
  • Simulation of cardiac impulse transmission and resulting electropotential changes.
  • Generation of simulated electrocardiogram (ECG) curves for various scenarios.

    • Main Results:

    • The model successfully simulates the operation of the cardiac impulse transmission apparatus.
    • It allows for the description of practically all basic pathologies of the cardiac transmission system.
    • Simulated ECG curves are produced, accurately reflecting different pathological situations and pacemaker modes.
    • The model is particularly effective for studying heart rhythms and pacemaker interactions.

    Conclusions:

    • The developed computer model provides a versatile tool for investigating cardiac electrophysiology and pathologies.
    • It facilitates the assessment of pacemaker efficacy in diverse pathological contexts.
    • The model's ability to generate simulated ECGs aids in understanding complex heart rhythm disturbances.