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Accessory pathway localization with probabilistic density maps generated by a mobile application: Assessment of a full pre-excitation net-vector method.

Marek JastrzebskiKamil FijorekPiotr FutymaMichał OrczykowskiMaciej PitakŁukasz ZarębskiPiotr SajdakSebastian GórecznyŁukasz SzumowskiMarek RajzerPaweł Moskal
Published in: Journal of cardiovascular electrophysiology (2024)
In the largest data set of APs to-date, a novel probabilistic and semi-automatic approach to electrocardiographic localization of APs was highly predictive for anatomic localization.
Keyphrases
  • deep learning
  • machine learning
  • left ventricular
  • heart failure
  • left atrial
  • artificial intelligence