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Open Access

Peer-reviewed

Research Article

Deep learning-based reduced order models in cardiac electrophysiology

Stefania Fresca ,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

* E-mail: stefania.fresca@polimi.it

Affiliation MOX - Dipartimento di Matematica, Politecnico di Milano, Milano, Italy

http://orcid.org/0000-0001-8599-6588

⨯
Andrea Manzoni,

Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation MOX - Dipartimento di Matematica, Politecnico di Milano, Milano, Italy
⨯
Luca Dedè,

Roles Conceptualization, Supervision, Writing – review & editing

Affiliation MOX - Dipartimento di Matematica, Politecnico di Milano, Milano, Italy
⨯
Alfio Quarteroni

Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

Affiliations MOX - Dipartimento di Matematica, Politecnico di Milano, Milano, Italy, Mathematics Institute, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
⨯

Deep learning-based reduced order models in cardiac electrophysiology

Stefania Fresca,
Andrea Manzoni,
Luca Dedè,
Alfio Quarteroni

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Published: October 1, 2020
https://doi.org/10.1371/journal.pone.0239416

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Dynamical systems
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Cardiac electrophysiology
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Nonlinear systems
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Nonlinear dynamics
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Action potentials
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Neural networks
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Membrane potential
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Learning
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