Impact of atrial model personalization on intracardiac electrogram features

  • Forschungsthema:Computermodelle des Herzens
  • Typ:Bachelorarbeit
  • Betreuung:

    M.Sc. Pascal Maierhofer

  • Bearbeitung:

    Amelie Löffler

  • This project investigates how stepwise personalization of atrial in silico models (rule based, low voltage scar, conductivity, ERP) alters bipolar intra atrial electrograms in sinus rhythm. The aim is to quantify signal feature changes across healthy, low voltage, border zone, and low ERP regions and to identify the personalization combination that best reproduces clinical recordings.