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How Does the Dispersive Patch Affect the Efficacy of Radiofrequency Ablation?

  • Minha Anees
  • , Zoraida Moreno Weidmann
  • , David Viladés Medel
  • , Jose M. Guerra
  • , Luca Gerardo-Giorda
  • , Argyrios Petras*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Radiofrequency ablation (RFA) is a minimally invasive procedure used to treat cardiac arrhythmia. Power plays an important role during the procedure as it generates the heat necessary to ablate the targeted tissue.
We developed a 3D in-silico model based on patient imaging data. A key aspect of our study is the placement of a dispersive patch at various positions on the torso, as the electrode’s location can impact both the effectiveness and safety of the procedure. Proper placement is crucial to ensure optimal current distribution and to minimize any potential risks.
We examine the impact of the patch location on both tissue power dissipation and the overall power dissipation within the torso geometry.
Our results show significant variations in tissue power based on the patch position and orientation. By analyzing these variations, we aim to identify optimal patch place- ments that maximize therapeutic efficacy.
Original languageEnglish
Title of host publicationComputing in Cardiology
Number of pages4
Volume51
DOIs
Publication statusPublished - 2024

Publication series

NameComputing in Cardiology
ISSN (Electronic)2325-887X

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fields of science

  • 101027 Dynamical systems
  • 102023 Supercomputing
  • 101004 Biomathematics
  • 101014 Numerical mathematics
  • 101028 Mathematical modelling
  • 102009 Computer simulation
  • 101 Mathematics
  • 202027 Mechatronics
  • 102019 Machine learning
  • 101024 Probability theory
  • 206001 Biomedical engineering
  • 101020 Technical mathematics

JKU Focus areas

  • Digital Transformation

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