A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.

Computational models of cardiac electrophysiology have gradually matured during the past few decades and are now being personalised to provide patient-specific therapy guidance for improving suboptimal treatment outcomes. The predictive features of these personalised electrophysiology models hold the promise of providing optimal treatment planning, which is currently limited in the clinic owing to reliance on a population-based or average patient approach. The generation of a personalised electrophysiology model entails a sequence of steps for which a range of activation mapping, calibration methods and therapy simulation pipelines have been suggested. However, the optimal methods that can potentially constitute a clinically relevant

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Copyright © The Author(s), 2024. Published by Radcliffe Group Ltd.

Déclaration de conflit d'intérêts

Disclosure: OAJ received funding for his PhD studentship from Acutus Medical. LM and WWG were employees and shareholders of Acutus Medical; the research described herein was not influenced by this employment and no conflict of interest exists. GS has received grants from National Institute for Health and Care Research Barts Biomedical Research Centre. CHR has no conflicts of interest to declare.