Simulations of cardiac arrhythmias based on dynamical interactions between neural models of cardiac pacemakers

An artificial neural network model of the cardiac conduction system is proposed. The dynamical behaviour of the model is used to simulate interactions between cardiac rhythm generating elements (pacemakers). The synchronization phenomenon of the heart pacemakers, underlying the normal heart rhythm, is demonstrated. Also, for abnormal conditions, obtained results suggest that the development of particular arrhythmic instances may be explained entirely on the basis of dynamical interactions between cardiac pacemakers.<
>