Evaluación no invasiva del riesgo en la fibrilación auricular

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