Research Topic

Multi-Scale Computational Cardiology

About this Research Topic

Computational cardiology plays an increasingly important role in elucidating the physiological and pathological mechanism(s)of normal and abnormal cardiac functions revealing diagnostic information, predicting treatment outcomes, and guiding the development of new technologies for clinical applications. The ...

Computational cardiology plays an increasingly important role in elucidating the physiological and pathological mechanism(s)of normal and abnormal cardiac functions revealing diagnostic information, predicting treatment outcomes, and guiding the development of new technologies for clinical applications. The heart is a complex physiological organ, whose physiological and pathological mechanism can be investigated by using modeling and simulation at different scales. In recent decades, some important progress has been made in multi-scale computational cardiology. In addition, new measurement techniques and treatment approaches, such as electrocardiographic imaging (ECGI), atrial fibrillation ablation strategy based on personalized virtual-heart technology, have been researched and gradually applied to clinical practice. However, further studies should be addressed to deal with multiple biophysics interactions, such as cardiac electro-mechanical coupling and fluid-structure interaction at different levels, fibroblast-cardiomyocyte coupling, multi-scale atrial fibrillation simulation, ECG inverse problem and ECGI, computational analysis of multimodal cardiovascular data to support clinical decision. These challenges form the core topics of this Research Topic. Thus, we welcome submissions related to but not limited to the following sub-topics:

• 1D-3D cardiac electro-mechanical coupling
• Modeling and simulation of cardiac fluid-structure interaction
• Fibroblast-cardiomyocyte coupling and atrial fibrillation simulation considering atrial fibrosis.
• Cardiac model parameterization and optimization
• Personalized multi-scale modelling for clinical support and therapy planning.
• Computational fluid dynamics in circulation system
• Numerical computation methods in computational cardiology
• ECG inverse problem and ECGI
• ECG signal processing and the use of AI to predict heart diseases
• Computational analysis of multimodal cardiovascular data, including cardiovascular comorbidities in patients with COVID-19


Keywords: Computational Cardiology, Heart Modeling and Simulation, Computational Fluid Dynamics, Electrocardiograms (ECG), ECG Inverse Problem


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Submission Deadlines

31 May 2021 Manuscript

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Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 May 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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