Key result
An algorithm estimating Purkinje-myocardial junctions from electro-anatomical maps successfully predicted activation times with an average error below the applied noise amplitude in simulated data.
A novel computational algorithm can estimate the location of Purkinje-myocardial junctions from noisy electro-anatomical maps, potentially aiding in patient-specific cardiac conduction system reconstruction.
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Promising for refining computational models of ventricular activation; leaves open prospective validation in clinical electro-anatomical data.
Barber et al. (2018) studied Ventricular cardiac conduction system reconstruction. Algorithm to estimate Purkinje-myocardial junctions (PMJs) was evaluated on Average error in the predicted activation time. An algorithm estimating Purkinje-myocardial junctions from electro-anatomical maps successfully predicted activation times with an average error below the applied noise amplitude in simulated data.
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