Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation

HIGHLIGHTS

• who: Nicholas S. Peters and colleagues from the London, London , AZ, UK have published the Article: Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation, in the Journal: (JOURNAL) of 08/09/2022
• what: The aim of the algorithm is to demonstrate a proof of concept where re-entrant circuits driving AF can be located using solely electrogram information.
• how: As part of this approach a small number of simplifications are applied to the CMP model to simplify simulations and analysis. The features used by the . . .
  

   

  

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