title: Kurtosis as a statistical approach to identify the pivot point of the rotor.
abstract: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia that causes stroke affecting more than 2.3 million people in the US. Catheter ablation to terminate AF is successful for paroxysmal AF but suffers limitations with persistent AF patients as current mapping methods cannot identify AF active substrates outside of pulmonary vein region. In this work, we developed a novel Kurtosis based mapping technique that can accurately identify pivot points of the rotors that were induced in ex-vivo isolated rabbit heart. The results indicate that the chaotic nature of rotor pivot point results in higher Kurtosis compared to the periphery thereby enabling its accurate identification. Our results suggest that Kurtosis technique can be further applied to intra-atrial electrograms from AF patients with rotors to accurately identify the rotor pivot point by generating 3-dimensional (3D) patient-specific Kurtosis maps. Validation of this new Kurtosis based mapping technology is required through clinical studies with both paroxysmal and persistent AF patient data.
authors.forename: Shivaram P
authors.initials: SP
authors.lastname: Arunachalam
authors.forename: Elizabeth M
authors.initials: EM
authors.lastname: Annoni
authors.forename: Siva K
authors.initials: SK
authors.lastname: Mulpuru
authors.forename: Paul A
authors.initials: PA
authors.lastname: Friedman
authors.forename: Elena G
authors.initials: EG
authors.lastname: Tolkacheva
mesh_terms: D001281:Atrial Fibrillation / Q000503:physiopathology* / Q000601:surgery; D017115:Catheter Ablation; D006801:Humans; D011336:Probability; D013223:Statistics as Topic / Q000379:methods*; D016896:Treatment Outcome