Mechano-electric finite element model of the left atrium

Satriano, Alessandro; Vigmond, Edward J.; Schwartzman, David; Martino, Elena S. Di

doi:10.1016/j.compbiomed.2018.02.010

Cited by 9 publications

(5 citation statements)

References 46 publications

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“…Note that the underbraced term multiplying the stress corresponds to the tissue cross-section with respect the edge as in [49]. The parameters of the Fung constitutive relation are set as to reproduce the stress-strain curves in the fiber and cross-fiber direction measured in the ex-vivo experiments of [51,52] for the ventricular myocardium, of [53,54] for the aorta, of [55] for the aortic valve leaflets, of [56,57] for the mitral valve leaflets and of [58,59] for the atrium. In this work…”

Section: Structural Mechanicsmentioning

confidence: 99%

Fluid–Structure-Electrophysiology interaction (FSEI) in the left-heart: A multi-way coupled computational model

Viola

Meschini

Verzicco

2020

European Journal of Mechanics - B/Fluids

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Section: Structural Mechanicsmentioning

confidence: 99%

Fluid–Structure-Electrophysiology interaction (FSEI) in the left-heart: A multi-way coupled computational model

Viola

Meschini

Verzicco

2020

European Journal of Mechanics - B/Fluids

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“…the fiber, ε ff , sheet, ε ss , and sheet-normal ε nn directions. The coefficients c, α f , α s , α n have been set so as to reproduce the stress-strain curves in the fiber and cross-fiber direction measured ex-vivo in different portions of the cardiac tissue 13,[33][34][35][36][37][38][39][40][41][42] .…”

Section: Structural Solvermentioning

confidence: 99%

GPU accelerated digital twins of the human heart open new routes for cardiovascular research

Viola

Corso

Paulis

et al. 2022

Preprint

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The recruitment of patients for rare or complex cardiovascular diseases is a bottleneck for clinical trials and digital twins of the human heart have recently been proposed as a viable alternative. In this paper we present an unprecedented cardiovascular computer model which, relying on the latest GPU–acceleration technologies, replicates the full cardiac dynamics within a few hours. This opens the way to extensive simulation campaigns to study the response of synthetic cohorts of patients to cardiovascular disorders, novel prosthetic devices or surgical procedures. As a proof–of–concept we show the results obtained for left bundle branch block disorder and the subsequent cardiac resynchronization obtained by pacemaker implantation. The in–silico results closely match those obtained in clinical practice, confirming the reliability of the method. This innovative approach makes possible a systematic use of digital twins in cardiovascular research, thus reducing the need of real patients with their economical and ethical implications. This study is a major step towards in–silico clinical trials in the era of digital medicine.

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“…Satriano et aldeveloped a 3D implementation of a strongly coupled electromechanical atrial model using reconstructed images from a porcine heart and ex vivo experimental validation. [89]…”

Section: Recent Advances In Atrial Modellingmentioning

confidence: 99%

“…[87] Simulations using the model of Satriano et al, however, demonstrated that higher strain occurs in areas adjacent to the mitral valve annulus, rim of the appendage, pulmonary vein trunks and Bachmann’s bundle. [89] These are regions where atrial arrhythmias are most likely to occur. Further studies are needed to assess the potential impact of mechano-electrical feedback on AF dynamics in whole heart simulations.…”

Section: Mechanistic Insights Into Af Initiation and Maintenance Usinmentioning

confidence: 99%

Understanding AF Mechanisms Through Computational Modelling and Simulations

Aronis

Ali

Liang

et al. 2019

Arrhythm Electrophysiol Rev

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AF is a progressive disease of the atria, involving complex mechanisms related to its initiation, maintenance and progression. Computational modelling provides a framework for integration of experimental and clinical findings, and has emerged as an essential part of mechanistic research in AF. The authors summarise recent advancements in development of multi-scale AF models and focus on the mechanistic links between alternations in atrial structure and electrophysiology with AF. Key AF mechanisms that have been explored using atrial modelling are pulmonary vein ectopy; atrial fibrosis and fibrosis distribution; atrial wall thickness heterogeneity; atrial adipose tissue infiltration; development of repolarisation alternans; cardiac ion channel mutations; and atrial stretch with mechano-electrical feedback. They review modelling approaches that capture variability at the cohort level and provide cohort-specific mechanistic insights. The authors conclude with a summary of future perspectives, as envisioned for the contributions of atrial modelling in the mechanistic understanding of AF.

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Mechano-electric finite element model of the left atrium

Cited by 9 publications

References 46 publications

Fluid–Structure-Electrophysiology interaction (FSEI) in the left-heart: A multi-way coupled computational model

Fluid–Structure-Electrophysiology interaction (FSEI) in the left-heart: A multi-way coupled computational model

GPU accelerated digital twins of the human heart open new routes for cardiovascular research

Understanding AF Mechanisms Through Computational Modelling and Simulations

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