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Updated: Feb 10, 2026

Impact of Intracardiac Neurons on Cardiac Electrophysiology and Arrhythmogenesis in an Ex Vivo Langendorff System
Published on: May 22, 2018
Arrhythmogenesis research: a perspective from computational electrophysiology viewpoint
Natalia Trayanova1, Gernot Plank
1Johns Hopkins University, Baltimore, MD, USA.
Researchers are using multi-scale modeling and simulation to study heart arrhythmias. This computational approach offers new insights into the complex mechanisms driving cardiac arrhythmogenesis at the organ level.
Area of Science:
- Computational biology
- Cardiac electrophysiology
- Medical simulation
Background:
- Cardiac arrhythmias are a significant area of research.
- Understanding arrhythmia generation mechanisms is crucial for effective treatment.
Purpose of the Study:
- To review recent advances in using multi-scale modeling and simulation for studying cardiac arrhythmias.
- To highlight achievements in computational modeling of cardiac arrhythmogenesis.
Main Methods:
- Multi-scale modeling of the heart.
- Computational simulation of cardiac electrophysiology.
- Organ-level analysis of arrhythmogenesis.
Main Results:
- Computational biology and electrophysiology have provided new tools for arrhythmia research.
- Multi-scale modeling enables in-depth study of cardiac arrhythmogenesis.
- Simulation approaches offer insights into complex heart rhythm disorders.
Conclusions:
- Multi-scale modeling and simulation are powerful tools for investigating heart arrhythmias.
- This approach advances the understanding of cardiac arrhythmogenesis.
- Recent achievements demonstrate the value of computational methods in cardiology.
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