Characterizing complexity of atrial arrhythmias through effective dynamics from electric potential measures

The cardiac electrical activity follows a complex dynamics whose accurate description is crucial to characterize arrhythmias and classify their complexity. Rhythm reflects the connection topology of pacemaker cells at their source. Hence, characterizing the attractors as nonlinear, effective dynamics can capture the key parameters without imposing any particular model on the empirical signals. A dynamic phase-space reconstruction from appropriate embedding can be made robust and numerically stable with the presented method.