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Atrial Fibrillation (AF) is a common cardiac arrhythmia that affects between 1% and 2% of the world’s population. However, current commercial systems struggle to characterize and locate arrhythmogenic sources for certain groups of patients with AF. Therefore, it is crucial to develop customized techniques for AF, particularly non-invasive diagnostic methods that minimize patient risks. This study uses the electrocardiographic imaging (ECGi) method in an animal model to estimate electrical potentials in the heart since ECGi would be one of the best methods for treatment guidance. The data was collected experimentally from two rabbit hearts inserted into a translucent torso-tank with several electrodes arranged on its surface. This project aims to perform and compare ECGi results obtained through two regularization methods, Truncated Singular Value Decomposition (TSVD) and Tikhonov, based on signals acquired from the experimental setup.

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An Experimental Rabbit Torso-Tank for ECGI Validation

  • 会议论文

  • 发表日期：

    2025年

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  • G. Victor Costa,
  • S. Eghdamian,
  • A. Quadros,
  • T. Neves,
  • V. Silva,
  • I. Sandoval,
  • J. Paredes,
  • I. Uzelac,
  • J. Salinet

摘要

Atrial Fibrillation (AF) is a common cardiac arrhythmia that affects between 1% and 2% of the world’s population. However, current commercial systems struggle to characterize and locate arrhythmogenic sources for certain groups of patients with AF. Therefore, it is crucial to develop customized techniques for AF, particularly non-invasive diagnostic methods that minimize patient risks. This study uses the electrocardiographic imaging (ECGi) method in an animal model to estimate electrical potentials in the heart since ECGi would be one of the best methods for treatment guidance. The data was collected experimentally from two rabbit hearts inserted into a translucent torso-tank with several electrodes arranged on its surface. This project aims to perform and compare ECGi results obtained through two regularization methods, Truncated Singular Value Decomposition (TSVD) and Tikhonov, based on signals acquired from the experimental setup.