EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks

EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks

Accurately inferring underlying electrophysiological (EP) tissue properties from action potential recordings is expected to be clinically useful in the diagnosis and treatment of arrhythmias such as atrial fibrillation. It is, however, notoriously difficult to perform. We present EP-PINNs (Physics I...

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Bibliographic Details
Main Authors: Clara Herrero Martin, Alon Oved, Rasheda A. Chowdhury, Elisabeth Ullmann, Nicholas S. Peters, Anil A. Bharath, Marta Varela
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiac electrophysiology
arrhythmia (any)
Physics Informed Neural Network (PINN)
atrial fibrillation
parameter estimation
optical mapping
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.768419/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.768419/full

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