Personalisation, i.e. parameter estimation of a cardiac ElectroPhysiology (EP) model is needed to build patient-specific models, which could then be used to understand the true complex dynamics involved in patient's pathology. In this paper, we present a personalisation method for a simplified ionic 3D EP model, the Mitchell-Schaeffer model....
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2010 (v1)Conference paperUploaded on: April 5, 2025
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2015 (v1)Publication
International audience
Uploaded on: April 5, 2025 -
2010 (v1)Book
Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010
Uploaded on: April 5, 2025 -
2006 (v1)Conference paper
no abstract
Uploaded on: April 5, 2025 -
September 8, 2024 (v1)Publication
International audience
Uploaded on: April 5, 2025 -
December 15, 2023 (v1)Journal article
Modelling complex systems, like the human heart, has made great progress over the last decades. Patient-specific models, called 'digital twins', can aid in diagnosing arrhythmias and personalizing treatments. However, building highly accurate predictive heart models requires a delicate balance between mathematical complexity, parameterization...
Uploaded on: December 25, 2023 -
September 8, 2024 (v1)Conference paper
Scar-related myocardial tissue can lead to ventricular arrhythmia (VA), a global concern for sudden cardiac death. Repolarization dispersion due to electrical remodeling within infarcted territory often triggers ventricular arrhythmias. However, evaluating ventricular repolarization globally is clinically challenging and there is no...
Uploaded on: April 4, 2025 -
September 10, 2024 (v1)Publication
Scar-related myocardial tissue can lead to ventricular arrhythmia (VA), a global concern for sudden cardiac death. Repolarization dispersion due to electrical remodeling within infarcted territory often triggers ventricular arrhythmias. However, evaluating ventricular repolarization globally is clinically challenging and there is no...
Uploaded on: September 11, 2024 -
September 18, 2022 (v1)Conference paper
Biophysically detailed mathematical modeling of cardiac electrophysiology is often computationally demanding, for example, when solving problems for various patient pathological conditions. Furthermore, it is still difficult to reduce the discrepancy between the output of idealized mathematical models and clinical measurements, which are...
Uploaded on: February 22, 2023 -
2006 (v1)Conference paper
no abstract
Uploaded on: April 5, 2025