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An eikonal model with re-excitability for fast simulations in cardiac electrophysiology

Computational Engineering, Finance, and Science · Submitted 29 Oct 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The eikonal model is qualitatively accurate in the simulation of re-entries and can be potentially ran in real-time, opening the door to its clinical applicability.

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arXiv ID2410.22583 (version 1)
Pith IDTOCULUHK, Pith's permanent record of this paper and its review
CitationFrancisco Sahli Costabal, Lia Gander, Rolf Krause, Simone Pezzuto. "An eikonal model with re-excitability for fast simulations in cardiac electrophysiology." arXiv:2410.22583 (2024). https://pith.science/paper/TOCULUHK
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,451 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.48 · human participants 0.06 · controlled comparison 0.43 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.94 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. However, detailed models, such as the monodomain model, are computationally costly and have limited applicability in practice. Thus, it desirable to have fast models that can still represent the main physiological features presented during cardiac arrhythmias. The eikonal model is an approximation of the monodomain model that is widely used to describe the arrival times of the electrical wave. However, the standard eikonal model does not generalize to the complex re-entrant dynamics that characterize the cardiac arrhythmias. In this work, we propose an eikonal model that includes the tissue re-excitability, which allows to describe re-entries. The re-excitability properties are inferred from the monodomain model. Our eikonal model also handles the tissue anisotropy and heterogeneity. We compare the eikonal model to the monodomain model in various numerical experiments in the atria and the ventricles. The eikonal model is qualitatively accurate in the simulation of re-entries and can be potentially ran in real-time, opening the door to its clinical applicability.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. background 1.00 0.05 0.03 asserted 1.00
s1 However, detailed models, such as the monodomain model, are computationally costly and have limited applicability in practice. background 0.79 0.06 0.02 asserted 1.00
s2 Thus, it desirable to have fast models that can still represent the main physiological features presented during cardiac arrhythmias. background 0.73 0.05 0.04 asserted 0.74
s3 The eikonal model is an approximation of the monodomain model that is widely used to describe the arrival times of the electrical wave. background 1.00 0.05 0.02 asserted 1.00
s4 However, the standard eikonal model does not generalize to the complex re-entrant dynamics that characterize the cardiac arrhythmias. gap 0.95 0.11 0.03 asserted 1.00
s5 In this work, we propose an eikonal model that includes the tissue re-excitability, which allows to describe re-entries. contribution 0.99 0.94 0.25 asserted 1.00
s6 The re-excitability properties are inferred from the monodomain model. method 0.97 0.77 0.03 asserted 1.00
s7 Our eikonal model also handles the tissue anisotropy and heterogeneity. contribution 0.72 0.71 0.05 asserted 1.00
s8 We compare the eikonal model to the monodomain model in various numerical experiments in the atria and the ventricles. method 0.93 0.96 0.04 asserted 0.94
s9 The eikonal model is qualitatively accurate in the simulation of re-entries and can be potentially ran in real-time, opening the door to its clinical applicability. result 0.58 0.89 0.87 hedged possibility 0.59

What kind of paper the classifier reports this is: method or tool 0.99 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. However, detailed models, such as the monodomain model, are computationally costly and have limited applicability in practice. Thus, it desirable to have fast models that can still represent the main physiological features presented during cardiac arrhythmias. The eikonal model is an approximation of the monodomain model that is widely used to describe the arrival times of the electrical wave. However, the standard eikonal model does not generalize to the complex re-entrant dynamics that characterize the cardiac arrhythmias. In this work, we propose an eikonal model that includes the tissue re-excitability, which allows to describe re-entries. The re-excitability properties are inferred from the monodomain model. Our eikonal model also handles the tissue anisotropy and heterogeneity. We compare the eikonal model to the monodomain model in various numerical experiments in the atria and the ventricles. The eikonal model is qualitatively accurate in the simulation of re-entries and can be potentially ran in real-time, opening the door to its clinical applicability.

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