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Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

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Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
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Related Experiment Video

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High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
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Development of a Rotor-Mapping Algorithm to Locate Ablation Targets During Atrial Fibrillation.

Prasanth Ganesan1, Elizabeth M Cherry2, Arkady M Pertsov3

  • 1Department of Electrical Engineering, Florida Atlantic University.

IEEE Life Sciences Conference. Life Sciences Conference
|November 7, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm, Region of Rotor (ROR) Mapping, to precisely locate rotors, the sources of atrial fibrillation (AF) outside pulmonary veins. This rotor mapping technique significantly improves the success of AF ablation therapy.

Keywords:
AF ablationatrial fibrillationintra-atrial electrogramsnon-PV ablation targetsrotor-mapping

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Area of Science:

  • Electrophysiology
  • Medical Devices
  • Computational Biology

Background:

  • Catheter ablation for atrial fibrillation (AF) primarily relies on pulmonary vein isolation (PVI).
  • Sub-optimal success rates of PVI necessitate novel strategies for identifying non-PVI ablation targets.
  • Rotors, localized sources of AF, are increasingly recognized as critical targets for ablation.

Purpose of the Study:

  • To develop and evaluate a novel rotor-mapping algorithm for identifying non-pulmonary vein (non-PV) AF ablation targets.
  • To utilize conventional diagnostic catheters for rotor source localization.
  • To improve the efficacy of AF ablation by targeting rotors outside the pulmonary veins.

Main Methods:

  • Development of the Region of Rotor (ROR) Mapping algorithm using local bipolar electrogram characteristics.
  • Iterative catheter placement guided by the algorithm to map potential rotor regions.
  • Validation using a 2D simulation of AF on heterogeneous cardiac tissue.

Main Results:

  • The ROR mapping algorithm achieved a 93% success rate in accurately locating rotor regions.
  • The mean distance between the identified rotor region and the ground truth was 1.4mm.
  • The algorithm successfully mapped potential non-PV AF ablation targets in a simulated environment.

Conclusions:

  • The novel ROR mapping algorithm demonstrates high accuracy in localizing rotor sources for AF ablation.
  • This technique holds potential for mapping non-PV AF ablation targets, thereby improving AF ablation outcomes.
  • The use of conventional diagnostic catheters makes this approach clinically translatable.