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An integral equation model for intracardiac electrogram sensing

W Sun1, X Min

  • 1Medtronic, Inc., Minneapolis, MN 55432, USA. wiemin.sun@guidant.com

IEEE Transactions on Bio-Medical Engineering
|December 24, 1997
PubMed
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A new integral equation model accurately characterizes electrograms sensed by intracardiac electrodes, considering their finite surface area. This model reveals that electrode size and load impedance significantly impact electrogram amplitude and sensitivity.

Area of Science:

  • Biomedical Engineering
  • Electrophysiology
  • Computational Modeling

Background:

  • Traditional electrogram characterization models assume idealized small electrodes or potential averaging.
  • Real intracardiac electrodes possess finite surface areas that disturb potential fields.
  • This disturbance leads to a sensed potential differing from the pre-placement potential.

Purpose of the Study:

  • To propose a novel integral equation model for characterizing electrograms sensed by finite-surface-area intracardiac electrodes.
  • To accurately model the influence of electrode surface area and load impedance on sensed electrograms.
  • To analyze the impact of electrode configuration and load impedance on electrogram characteristics.

Main Methods:

  • Developed an integral equation model based on the current continuity equation in a homogeneous myocardial medium.

Related Experiment Videos

  • Employed the method of moments for numerical solution of the integral equation.
  • Analyzed various electrode configurations with different load impedances.

    • Main Results:

    • The proposed model accurately characterizes electrograms for electrodes with non-negligible surface area and load impedance.
    • Finite electrode surface area significantly reduces electrogram peak amplitude and slope.
    • Load impedance below 20 k omega degrades electrogram sensitivity.

    Conclusions:

    • The integral equation model provides a more realistic characterization of intracardiac electrograms.
    • Electrode size and load impedance are critical factors influencing electrogram signal quality.
    • Understanding these factors is crucial for accurate interpretation of intracardiac electrograms.