Physics-Informed Neural Networks for Cardiac Activation Mapping

Physics-Informed Neural Networks for Cardiac Activation Mapping

A critical procedure in diagnosing atrial fibrillation is the creation of electro-anatomic activation maps. Current methods generate these mappings from interpolation using a few sparse data points recorded inside the atria; they neither include prior knowledge of the underlying physics nor uncertai...

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Bibliographic Details
Main Authors: Francisco Sahli Costabal, Yibo Yang, Paris Perdikaris, Daniel E. Hurtado, Ellen Kuhl
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Physics
Subjects:
machine learning
cardiac electrophysiology
Eikonal equation
electro-anatomic mapping
atrial fibrillation
physics-informed neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2020.00042/full

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https://www.frontiersin.org/article/10.3389/fphy.2020.00042/full

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