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Automated conduction velocity estimation based on isochronal activation of heart chambers.

Michela SanturriJennifer BongaMaurizio SchmidFilippo Maria CautiFrancesco SolimeneMarco PolselliMauro BuraFrancesco PiccoloMaurizio MalacridaGemma PelargonioFrancesco Raffaele SperaStefano BianchiPietro Rossi
Published in: Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing (2022)
The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.
Keyphrases
  • deep learning
  • machine learning
  • high throughput
  • heart failure
  • atrial fibrillation
  • radiofrequency ablation
  • data analysis