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)