Cardiac electromechanical models: from cell to organ.
Natalia A Trayanova1, John Jeremy Rice
1Department of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University Baltimore, MD, USA.
This review explores electromechanical (EM) heart models, from subcellular myofilaments to whole-organ simulations. These sophisticated models advance computational physiology and medicine by integrating electrical and mechanical functions.
Area of Science:
- Computational physiology and medicine
- Multiphysics and multiscale modeling
- Cardiac electrophysiology and mechanics
Background:
- The heart's complex function necessitates sophisticated mathematical models across multiple scales.
- Electromechanical (EM) coupling is crucial for understanding cardiac behavior.
- Existing models range from subcellular myofilament dynamics to whole-organ simulations.
Purpose of the Study:
- To review the development and application of electromechanical (EM) heart models.
- To provide an overview of models from the subcellular to the organ level.
- To highlight the integration of electrical and mechanical components in cardiac modeling.
Main Methods:
- Review of subcellular/single-cell models focusing on myofilament dynamics and Ca-based activation.
- Analysis of organ-level models integrating electrical (reaction-diffusion) and mechanical (continuum mechanics) components.
- Discussion of model complexity versus computational tractability trade-offs.
Main Results:
- Subcellular models elucidate cooperative mechanisms and the Frank-Starling law basis.
- Coupled electrophysiology and myofilament models form EM cell models.
- Organ-level models demonstrate how myocyte-generated tension deforms the heart.
Conclusions:
- EM heart models are essential tools in computational physiology and medicine.
- Model choices depend on application, balancing complexity and computational cost.
- Applications include cardiac resynchronization therapy and understanding arrhythmias.
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