Non-invasive risk assessment in atrial fibrillation

Nonivasive atrial fibrillation diagnosis, characterization, prediction and risk stratification from the ECG to improve risk assessment as well as better understanding of arrhythmia progression.

  • Development of ECG-based automatic AF detection.
  • Development of signal processing and mathematical modelling techniques for the characterization of AF episode patterns in paroxysmal AF.
  • Identification of ECG-based biomarkers for AF / stroke risk stratification.
  • Identification of ECG-based markers associated with the presence of other atrial cardiomyopathies including fibrosis and atrial hypertrophy.
  • ECG-based ventricular vulnerability risk markers measurable during AF rhythm

with the ultimate goal of improving risk assessment as well as better understanding arrhythmia progression.

Grupo