A transmurally heterogeneous model of the ventricular tissue and its application for simulation of Brugada Syndrome

Biasi, Niccoló; Seghetti, Paolo; Tognetti, Alessandro

doi:10.1109/embc48229.2022.9871482

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…The simulation of AP propagation was achieved by incorporating the myocyte model [6] in the monodomain formulation of cardiac tissue. The simulations were performed on a 3D slab of size 7 × 7 × 1 cm, representing the RV stretched out on a plane.…”

Section: Methodsmentioning

confidence: 99%

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A Computational Model of Brugada Syndrome in 3D Heterogeneous Cardiac Tissue

Seghetti¹,

Biasi²,

Laurino³

et al. 2022

Computing in Cardiology Conference (CinC)

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Brugada syndrome is a genetic cardiac disorder associated with ventricular arrhythmias and sudden cardiac death. There are two classical interpretations of the ECG features and pathophysiological mechanism of the BrS: the repolarization disorder theory and the depolarization disorder theory. We employed our previously published phenomenological model of human myocytes to simulate the electrical activity of cardiac tissue in a 3D transmurally heterogeneous slab. Furthermore, we modified the model to reproduce the characteristics commonly associated to BrS action potentials. We assessed the insurgence of sustained reentry as a function of electrophysiological alterations and fibrosis distribution. Additionally, for each simulation, we computed simulated epicardial unipolar electrograms. Our results suggest that both electrophysiological and structural alterations are important factors in the induction of sustained reentry associated to BrS.

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Section: Methodsmentioning

confidence: 99%

“…To perform the simulations, we employed our previously published phenomenological model of ventricular myocytes [4][5][6]. With different sets of parameters, the model reproduces the electrophysiological properties of both epicardium, endocardium and midmyocardium.…”

Section: Myocyte Modelmentioning

confidence: 99%

A Computational Model of Brugada Syndrome in 3D Heterogeneous Cardiac Tissue

Seghetti¹,

Biasi²,

Laurino³

et al. 2022

Computing in Cardiology Conference (CinC)

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“…mulation, where the diffusivity values were selected to replicate time intervals corresponding to complete atrial activation [8], atrioventricular conduction [9], and complete ventricular activation [10]. For the definition of the ionic current (I ion ), we adopted our previously published phenomenological model [11][12][13], which we fitted to the electrophysiological properties of the different types of cardiac cells. The fitting procedure is aimed at reproducing the main characteristics of experimental action potential morphology and action potential duration, and conduction velocity steady-state restitution curves.…”

Section: Heart Modelmentioning

confidence: 99%

“…The fitting procedure is aimed at reproducing the main characteristics of experimental action potential morphology and action potential duration, and conduction velocity steady-state restitution curves. The model parameters for the ventricular tissues were already optimised in [13]. We applied the same procedure here to fit also atrial electrophysiological data [14][15][16].…”

Section: Heart Modelmentioning

confidence: 99%

Electrophysiological Closed Loop Model of the Heart as Supporting Tool for Cardiac Pacing

Biasi¹,

Mercati²,

Seghetti³

et al. 2022

Computing in Cardiology Conference (CinC)

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In this work, we developed a closed loop model of the interaction between the heart and a cardiac pacemaker. The main novelty of our framework is the employment of a reaction-diffusion heart model, which could enhance the assessment of cardiac pacing. Additionally, we provided a specific hardware setup for the deployment of our framework. Our results show that the heart model reproduces the healthy activation sequence and is feasible for closed loop simulations. Furthermore, we successfully simulated the interaction between heart and pacemaker models during the insurgence of endless loop tachycardia. Finally, we believe that our closed loop system could be an effective supporting tool to evaluate the safety and efficacy of the therapeutic effect of cardiac pacemakers.

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