This book targets three fields of computational multi-scale cardiac modeling. First, advanced models of the cellular atrial electrophysiology and fiber orientation are introduced. Second, novel methods to create patient-specific models of the atria are described. Third, applications of personalized models in basic research and clinical practice are presented. The results mark an important step towards the patient-specific model-based atrial fibrillation diagnosis, understanding and treatment
A bilayer surface model of human atria is presented. A rule-based bi-layer physiological fibre arran...
Computational models of human atrial cells, tissues and atria have been developed. Cell models, for ...
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affec...
This book targets three fields of computational multi-scale cardiac modeling. First, advanced models...
Proceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The...
This work addresses major challenges of heart model personalization. Analysis techniques for clinica...
Half of the patients suffering from atrial fibrillation (AF) cannot be treated adequately, today. Th...
The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Deta...
Objective: The surgical Maze III procedure remains the gold standard in treating atrial fibrillation...
Multiscale modeling of cardiac electrophysiology helps to better understand the underlying mechanism...
[EN] Multiscale cardiac modelling has been increasingly used since it provides a promising framework...
To enable large in silico trials and personalized model predictions on clinical timescales, it is im...
Atrial fibrillation (AF) is the most common heart rhythm disturbance, and its treatment is an increa...
Three axes are explored. 1) Derivation of mathematical models of electrophysiological phenomena appl...
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affec...
A bilayer surface model of human atria is presented. A rule-based bi-layer physiological fibre arran...
Computational models of human atrial cells, tissues and atria have been developed. Cell models, for ...
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affec...
This book targets three fields of computational multi-scale cardiac modeling. First, advanced models...
Proceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The...
This work addresses major challenges of heart model personalization. Analysis techniques for clinica...
Half of the patients suffering from atrial fibrillation (AF) cannot be treated adequately, today. Th...
The atrial substrate undergoes electrical and structural remodeling during atrial fibrillation. Deta...
Objective: The surgical Maze III procedure remains the gold standard in treating atrial fibrillation...
Multiscale modeling of cardiac electrophysiology helps to better understand the underlying mechanism...
[EN] Multiscale cardiac modelling has been increasingly used since it provides a promising framework...
To enable large in silico trials and personalized model predictions on clinical timescales, it is im...
Atrial fibrillation (AF) is the most common heart rhythm disturbance, and its treatment is an increa...
Three axes are explored. 1) Derivation of mathematical models of electrophysiological phenomena appl...
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affec...
A bilayer surface model of human atria is presented. A rule-based bi-layer physiological fibre arran...
Computational models of human atrial cells, tissues and atria have been developed. Cell models, for ...
Atrial fibrillation (AF) is a complex cardiac arrhythmia with diverse etiology that negatively affec...