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Atrial location optimization by electrical measures for Electrocardiographic Imaging.

Víctor Gisbert1, Santiago Jiménez-Serrano2, Eduardo Roses-Albert2

  • 1ITACA Institute, Universitat Politècnica de València, Valencia, Spain.

Computers in Biology and Medicine
|October 23, 2020
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Summary

A new automatic method accurately locates atrial anatomy for Electrocardiographic Imaging (ECGI), improving epicardial electrical activity reconstruction and reducing errors in rate and singularity mapping.

Keywords:
Dominant frequencyElectrophysiologyInverse problemL-curve curvatureMappingPhase analysisReentryRotor

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Area of Science:

  • Biomedical Engineering
  • Computational Electrophysiology
  • Medical Imaging

Background:

  • Electrocardiographic Imaging (ECGI) reconstructs epicardial electrical activity non-invasively.
  • Accurate atrial and torso anatomy models are crucial for ECGI.
  • Current methods face challenges with anatomical variations and motion artifacts.

Purpose of the Study:

  • To evaluate a novel automatic methodology for localizing atrial anatomy within the torso.
  • To assess the impact of this localization on ECGI accuracy.
  • To improve the robustness of ECGI in the presence of anatomical uncertainties.

Main Methods:

  • Developed an automatic optimization method based on L-curve curvature.
  • Simulated 28 realistic atrial electrical activity scenarios with anatomical displacements (±2.5 cm, ±30°).
  • Estimated original atrial positions using exclusively non-invasive ECGI data.

Main Results:

  • The automatic algorithm achieved a mean deviation of 0.5 ± 0.5 cm in position and 16.0 ± 10.7° in orientation.
  • Electrophysiological map errors were significantly reduced: atrial rate measures from 1.1 ± 1.1 Hz to 0.5 ± 1.0 Hz.
  • Phase singularity position errors decreased from 7.2 ± 4.0 cm to 1.6 ± 1.7 cm (p < 0.01).

Conclusions:

  • The proposed automatic optimization effectively addresses spatial inaccuracies in ECGI.
  • This method can mitigate errors caused by cardiac motion and respiration.
  • It enables the use of ECGI with diverse torso and atrial anatomies from various imaging systems.