“…Many other methods have been developed to find rotors. We mention the following: the CARTOFINDER (Biosense Webster) [46], a method using electrocardiographic imaging (ECGI) [12], a method based on displaying electrogram dispersion [47,48], a method based on the optical flow of the wavefront dynamics [49], sequential ultra high density contact activation mapping [50], a machine learning method based on the 12 lead ECGs [51], the ASAP method for a multipole diagnostic catheter [52], the ICAN method for the circular lasso catheter [53], machine learning methods for mapping electrodes [54,55], single-signal algorithms based on instantaneous amplitude modulation (iAM) and instantaneous frequency modulation (iFM) [56], method to identify repetitive-regular activities (RRas) [57], the RADAR (Real-Time Electrogram Analysis for Drivers of Atrial Fibrillation) system [58], Noncontact Charge Density Mapping [59], novel integrated mapping technique searching for regions with repetitive-regular (RR) activations [60], Stochastic trajectory analysis of ranked signals (STAR) mapping [61], the wavefront field method [62], the electrographic flow mapping [63], deep neural networks for rotor localization [64]. It is clear that an abundance of methods have been developed in the past years to find rotors.…”