Cardiovascular diseases stand as a prominent global cause of mortality, with arrhythmias, notably atrial fibrillation (AF), presenting substantial health threats. Despite extensive research efforts, the pathophysiology of AF remains enigmatic, underscoring the need for effective treatment strategies. This study introduces a novel approach featuring a comprehensive system for panoramic optical mapping alongside a dedicated Graphical User Interface (GUI). The GUI plays a pivotal role in streamlining data processing, facilitating the generation of Local Activation Time, Conduction Velocity, Dominant Frequency, and Phase maps. These maps offer invaluable insights into cardiac dynamics, facilitating the identification of abnormal conduction patterns and vulnerable areas susceptible to arrhythmias. Through a structured methodology, this approach ensures systematic data analysis, thereby enhancing comprehension of the intricate electrical activity within the heart. In the case examined involving sinus rhythm and partial AV-node block, the distinct characteristics of the block are vividly portrayed in the data. The GUI's intuitive interface enables interactive visualization and parameter adjustments, empowering researchers to delve deeply into the data and extract valuable insights into the complexities of cardiac electrophysiology.

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Panoramic Cardiac Optical Mapping for Studying Cardiac Arrhythmias: Validation of A Graphic User Interface Tool

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

摘要

Cardiovascular diseases stand as a prominent global cause of mortality, with arrhythmias, notably atrial fibrillation (AF), presenting substantial health threats. Despite extensive research efforts, the pathophysiology of AF remains enigmatic, underscoring the need for effective treatment strategies. This study introduces a novel approach featuring a comprehensive system for panoramic optical mapping alongside a dedicated Graphical User Interface (GUI). The GUI plays a pivotal role in streamlining data processing, facilitating the generation of Local Activation Time, Conduction Velocity, Dominant Frequency, and Phase maps. These maps offer invaluable insights into cardiac dynamics, facilitating the identification of abnormal conduction patterns and vulnerable areas susceptible to arrhythmias. Through a structured methodology, this approach ensures systematic data analysis, thereby enhancing comprehension of the intricate electrical activity within the heart. In the case examined involving sinus rhythm and partial AV-node block, the distinct characteristics of the block are vividly portrayed in the data. The GUI's intuitive interface enables interactive visualization and parameter adjustments, empowering researchers to delve deeply into the data and extract valuable insights into the complexities of cardiac electrophysiology.