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Interpolation of body surface potential maps

B J Schijvenaars1, J A Kors, G van Herpen

  • 1Department of Medical Informatics, Erasmus University, Rotterdam, The Netherlands.

Journal of Electrocardiology
|January 1, 1995
PubMed
Summary

Cubic splines (CS) offer the best performance for interpolating body surface potential maps (BSPMs), even with lower electrode densities. This method is recommended for simulating electrocardiogram variability due to electrode placement changes.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Electrophysiology

Background:

  • Variability in 12-lead electrocardiograms (ECGs) due to small electrode position changes can affect computer interpretation.
  • Interpolated body surface potential maps (BSPMs) are valuable tools for simulating this ECG variability.
  • Assessing interpolation methods is crucial for accurate BSPM generation.

Purpose of the Study:

  • To evaluate the performance of four interpolation methods for body surface potential maps (BSPMs) across varying electrode grid densities.
  • To determine the most suitable interpolation method for simulating ECG variability caused by electrode placement.
  • To provide recommendations for accurate BSPM interpolation in research and clinical applications.

Main Methods:

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  • Four interpolation techniques were assessed: fast Fourier transforms, Chebyshev polynomials, linear functions, and cubic splines (CS).
  • Performance was evaluated using mean absolute error (MAE) by comparing interpolated signals to reference signals across different electrode configurations (horizontal and vertical directions).
  • The study utilized a dataset of BSPMs from 232 normal cases, 277 infarction cases, and 237 left ventricular hypertrophy cases.

    • Main Results:

    • All interpolation methods showed decreased performance with lower electrode grid densities.
    • Cubic splines (CS) demonstrated slightly superior performance for left precordial electrodes and best overall performance for other electrode locations in the horizontal plane.
    • In the vertical direction, CS yielded the best results on the front thorax, while linear functions performed best for electrodes on the back with sparse grids.

    Conclusions:

    • Cubic splines (CS) are the recommended method for interpolating body surface potential maps (BSPMs) due to their superior overall performance, especially at lower electrode densities.
    • The findings support the use of interpolated BSPMs for simulating electrode position variability in ECG analysis.
    • Accurate BSPM interpolation is essential for reliable computer-aided ECG interpretation.