Cardiological morphological and rithmological analysis

We develop algorithms for understanding cardiac electrical activity and detecting abnormal heart activity.
This field operates at the intersection of engineering and medicine by bringing together world-class talents in Computer Science, Physics, Mathematics, Electrical Engineering and Cardiology. 
Our solution is based on dynamic models of auto-oscillating systems, Machine Learning and Deep Learning applied in signal processing for collection and interpretation of ECG data.