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Related Experiment Videos

Multiple components in the unipolar electrogram: a simulation study in a three-dimensional model of ventricular

B Taccardi1, S Veronese, P C Franzone

  • 1Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City 84112-5000, USA.

Journal of Cardiovascular Electrophysiology
|November 17, 1998
PubMed
Summary

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A novel numerical model reveals a "reference" potential drift affecting unipolar electrogram (EG) interpretation. This drift explains inconsistencies in cardiac electrical activity models and EG waveform analysis.

Area of Science:

  • Computational Biology
  • Electrophysiology
  • Biophysics

Background:

  • Traditional models of cardiac electrical activity, such as the uniform and oblique dipole layers, struggle to explain experimental electrogram (EG) data.
  • Inconsistencies between existing models and experimental findings necessitate a reevaluation of unipolar EG interpretation.

Purpose of the Study:

  • To develop and utilize a numerical model simulating excitation spread in myocardial tissue.
  • To identify factors influencing the shape, amplitude, and polarity of unipolar electrograms (EGs).

Main Methods:

  • A parallelepipedal bidomain model of myocardial tissue with anisotropic properties and fiber rotation was implemented.
  • Eikonal equations calculated excitation spread, and fixed action potential shapes determined potential distributions.

Related Experiment Videos

  • Unipolar electrograms (EGs) were computed from time-varying potential distributions at multiple sites.

    • Main Results:

    • Unipolar QRS waveforms are composed of a "field" component (wavefront proximity) and a newly identified "reference" component.
    • The "reference" component arises from the drift of the reference potential during excitation spread.
    • This reference potential shifts from positive to negative extremes during excitation propagation.

    Conclusions:

    • The reference potential drift reconciles discrepancies between cardiac models and observed EG shapes.
    • This drift impacts the assessment of excitation/recovery times and QRS/ST-T areas.
    • Correcting for reference potential drift restores consistency between potential distributions and electrographic waveforms.