Code repository for machine learning for cardiac electrophysiology
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Updated
Jun 11, 2024 - Jupyter Notebook
Code repository for machine learning for cardiac electrophysiology
EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.
Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.
Machine Learning for Cardiac Electrical Imaging
Code associated with a publication on the action potential model parameter representing missing charge
Cardiac Electrophysiology MPI implementation for the Numerical Methods for PDEs (NMPDE) Course @POLIMI (Prof. Alfio Maria Quarteroni, TA Michele Bucelli)
A Simulation Framework for Modeling Cardiac Electrophysiology and 12-Lead ECG Generation
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