Development History
By 2010 Electrophysiologists were already able to recognise patterns within AF, using very limited electrograms and catheters. This resulted in a steady increase in persistent AF patients being treated with an ablation procedure.
RHYTHM AI is developing the STAR Mapping™ system to assist physicians in identifying potential drivers of Atrial Fibrillation.
STAR Mapping™ is designed to:
Allow assimilation of more data (to increase accuracy)
Guide the clinician in determining early activation sites of Atrial Fibrillation
Is designed to replicate the logical deductive process applied to electrical signals collected by the cardiac catheters currently used in the mapping procedure
The process is automated (AI driven)
Allows collection & processing of many thousands of heart signals (electrograms) per patient, thus it may refine the accuracy
Data from the electrograms is then fed into the STAR Mapping™ system and STAR Mapping™ identifies areas that may be driving the AF