Cardiac rhythm is the result of interactions between millions of heart muscle cells. Genetic, molecular and functional factors are involved on the cellular, tissue and organ level. Multi-scale computer models are used to study this complex interplay of processes on various levels. This dissertation introduces a software application that makes these models more versatile and easier to use. It also presents results on the effects of genetic mutations and natural variability on ion channel function in heart muscle cells. These results improve our understanding of the mechanisms of the heart and can serve as a catalyst for studies on cardiac arrhythmias
AbstractComputational modeling of cardiac cellular electrophysiology has a long history, and many mo...
The traditional cardiac model-building paradigm involves constructing a composite model using data c...
Computer models have become more and more a research tool to obtain mechanistic insight in the effec...
Cardiac rhythm is the result of interactions between millions of heart muscle cells. Genetic, molecu...
The rhythmic beating of the heart is the result of the concerted activity of its units, cells called...
Cardiovascular disorders often (~50% of the cases) manifest themselves suddenly in the form of ventr...
This PhD research focuses on the development and utilization of computer model-based (virtual) heart...
In cardiac electrophysiology, there exist many sources of inter- and intra-personal variability. The...
Quantitative prediction over multiple space and time scales using computer models of the electrical ...
Computational modelling of cardiac cellular electrophysiology has a long history, with many models n...
The underlying causes of variability in the electrical activity of hearts from individuals of the sa...
Various risk factors for sudden cardiac death have been identified. For example, several pathogenic ...
The modelling of the electrophysiology of cardiac cells is one of the most mature areas of systems b...
In this thesis, a cellular automata based modelling software is developed for studying the electrica...
AbstractComputational modeling of cardiac cellular electrophysiology has a long history, and many mo...
The traditional cardiac model-building paradigm involves constructing a composite model using data c...
Computer models have become more and more a research tool to obtain mechanistic insight in the effec...
Cardiac rhythm is the result of interactions between millions of heart muscle cells. Genetic, molecu...
The rhythmic beating of the heart is the result of the concerted activity of its units, cells called...
Cardiovascular disorders often (~50% of the cases) manifest themselves suddenly in the form of ventr...
This PhD research focuses on the development and utilization of computer model-based (virtual) heart...
In cardiac electrophysiology, there exist many sources of inter- and intra-personal variability. The...
Quantitative prediction over multiple space and time scales using computer models of the electrical ...
Computational modelling of cardiac cellular electrophysiology has a long history, with many models n...
The underlying causes of variability in the electrical activity of hearts from individuals of the sa...
Various risk factors for sudden cardiac death have been identified. For example, several pathogenic ...
The modelling of the electrophysiology of cardiac cells is one of the most mature areas of systems b...
In this thesis, a cellular automata based modelling software is developed for studying the electrica...
AbstractComputational modeling of cardiac cellular electrophysiology has a long history, and many mo...
The traditional cardiac model-building paradigm involves constructing a composite model using data c...
Computer models have become more and more a research tool to obtain mechanistic insight in the effec...