Key result
A novel spatiotemporal approach combining spatial and temporal methods with gradient estimation suggests improvements in estimating activation times on simulated and canine heart data.
A novel spatiotemporal approach combining spatial and temporal methods with gradient estimation shows potential to improve the estimation of electrical activation times on complex heart surfaces.
May refine activation mapping in preclinical models; leaves open human validation before clinical use.
Identification of electrical activation or depolarization times on sparsely-sampled complex heart surfaces is of importance to clinicians and researchers in cardiac electrophysiology. We introduce a spatiotemporal approach for activation time estimation which combines prior results using spatial and temporal methods with our own progress on gradient estimation on triangulated surfaces. Results of the method applied to simulated and canine heart data suggest that improvements are possible using this novel combined approach.
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Erem et al. (2011) studied Cardiac electrophysiology. Spatiotemporal approach for activation time estimation was evaluated on Activation time estimation. A novel spatiotemporal approach combining spatial and temporal methods with gradient estimation suggests improvements in estimating activation times on simulated and canine heart data.
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