BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS: In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS: The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.
BACKGROUND: Spatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm. METHODS: Color-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients. RESULTS: In all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV. CONCLUSIONS: The proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.
Authors: Frank M Weber; Christopher Schilling; Gunnar Seemann; Armin Luik; Claus Schmitt; Cristian Lorenz; Olaf Dössel Journal: IEEE Trans Biomed Eng Date: 2010-06-28 Impact factor: 4.538
Authors: Ashish N Doshi; Richard D Walton; Sébastien P Krul; Joris R de Groot; Olivier Bernus; Igor R Efimov; Bastiaan J Boukens; Ruben Coronel Journal: Comput Biol Med Date: 2015-05-21 Impact factor: 4.589
Authors: Elad Anter; Mattias Duytschaever; Changyu Shen; Teresa Strisciuglio; Eran Leshem; Fernando M Contreras-Valdes; Jonathan W Waks; Peter J Zimetbaum; Kapil Kumar; Peter S Spector; Adam Lee; Edward P Gerstenfeld; Elad Nakar; Meir Bar-Tal; Alfred E Buxton Journal: Circ Arrhythm Electrophysiol Date: 2018-08
Authors: Caroline H Roney; John Whitaker; Iain Sim; Louisa O'Neill; Rahul K Mukherjee; Orod Razeghi; Edward J Vigmond; Matthew Wright; Mark D O'Neill; Steven E Williams; Steven A Niederer Journal: Comput Biol Med Date: 2018-11-01 Impact factor: 4.589