Atrial fibrillation prediction

Prof. Yael Yaniv | Biomedical Engineering


Information and Computer Science | Medical Devices

The Technology

Prediction algorithm for Atrial Fibrillation risk based on novel algorithms that provide earlier more robust detection of AF risk and events based on ECG signal analysis. The technology is based on novel methods for analysis of HRV (Heart rate variability) as detected from ECG signals.


  • Effective clinical method for early prediction and precise detection of AF events
  • Live algorithm based on a modified pattern classification of distribution algorithm
  • Live analysis of heart rate variability on short strips of heartbeat intervals

Applications and Opportunities

  • Improved AF prediction for early intervention (Ablation or Pacemaker)
arrow Business Development Contacts
Ofer Shneyour
Director of Business Development, ICT