Key result
fenicsx-beat enables open-source cardiac electrophysiology simulation using the Monodomain model.
Why the study?
An open-source, efficient, and scalable simulation framework for cardiac electrophysiology was needed to support computational cardiology research.
fenicsx-beat is a new open-source Python framework built on FEniCSx for efficient and scalable simulation of cardiac electrophysiology.
fenicsx-beat extends open-source Monodomain tools; leaves open validation and adoption in research.
fenicsx-beat is an open-source Python software package for simulating cardiac electrophysiology, built upon the FEniCSx finite element framework (Baratta et al., 2023).It provides tools to solve the Monodomain model, a widely used model for electrical signal propagation in cardiac tissue, coupled with systems of ordinary differential equations (ODEs) that represent complex ionic models governing cell membrane dynamics.Designed for researchers in computational cardiology, fenicsx-beat leverages the high-performance capabilities of FEniCSx to enable efficient and scalable simulations of cardiac electrical activity on various computational platforms.
No takes yet. Share an insight, caveat, or question.
A 2025 study studied Cardiac electrophysiology (simulation). fenicsx-beat software was evaluated. fenicsx-beat is an open-source Python software package built on the FEniCSx framework for simulating cardiac electrophysiology using the Monodomain model.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: