A modular software platform was developed to analyze electroanatomic mapping data, featuring a conduction velocity mapping algorithm sensitive to the spatial distribution of triangulation points.
A novel software platform enables advanced post-processing of electroanatomic mapping data, including a conduction velocity mapping algorithm optimized with specific geometric conditions for triangulation.
Electroanatomic mapping systems collect increasingly large quantities of spatially-distributed electrical data which may be potentially further scrutinized post-operatively to expose mechanistic properties which sustain and perpetuate atrial fibrillation. We describe a modular software platform, developed to post-process and rapidly analyse data exported from electroanatomic mapping systems using a range of existing and novel algorithms. Imaging data highlighting regions of scar can also be overlaid for comparison. In particular, we describe the conduction velocity (CV) mapping algorithm used to highlight wavefront behaviour. CV was found to be particularly sensitive to the spatial distribution of the triangulation points and corresponding activation times. A set of geometric conditions were devised for selecting suitable triangulations of the electrogram set for generating CV maps.
Cantwell et al. (Fri,) conducted a other in Atrial fibrillation. Software platform for electroanatomic and imaging data analysis was evaluated. A modular software platform was developed to analyze electroanatomic mapping data, featuring a conduction velocity mapping algorithm sensitive to the spatial distribution of triangulation points.
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