Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Pezzuto Simone"'
Digital twins for cardiac electrophysiology are an enabling technology for precision cardiology. Current forward models are advanced enough to simulate the cardiac electric activity under different pathophysiological conditions and accurately replica
Externí odkaz:
http://arxiv.org/abs/2411.00165
The anisotropic structure of the myocardium is a key determinant of the cardiac function. To date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We recently proposed Fibernet, a method for the automatic identification of
Externí odkaz:
http://arxiv.org/abs/2410.23388
Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. However, detailed models, such as the monodomain model, are computationally costly and have limited applicability in practice. Thus, it desirabl
Externí odkaz:
http://arxiv.org/abs/2410.22583
Autor:
Haas, Manuel, Grandits, Thomas, Pinetz, Thomas, Beiert, Thomas, Pezzuto, Simone, Effland, Alexander
Reconstructing cardiac electrical activity from body surface electric potential measurements results in the severely ill-posed inverse problem in electrocardiography. Many different regularization approaches have been proposed to improve numerical re
Externí odkaz:
http://arxiv.org/abs/2408.11573
Simulation of the monodomain equation, crucial for modeling the heart's electrical activity, faces scalability limits when traditional numerical methods only parallelize in space. To optimize the use of large multi-processor computers by distributing
Externí odkaz:
http://arxiv.org/abs/2405.19994
Active solids are a large class of materials, including both living soft tissues and artificial matter, that share the ability to undergo strain even in absence of external loads. While in engineered materials the actuation is typically designed a pr
Externí odkaz:
http://arxiv.org/abs/2404.11137
Fully explicit stabilized multirate (mRKC) methods are well-suited for the numerical solution of large multiscale systems of stiff ordinary differential equations thanks to their improved stability properties. To demonstrate their efficiency for the
Externí odkaz:
http://arxiv.org/abs/2401.01745
Autor:
Álvarez-Barrientos, Felipe, Salinas-Camus, Mariana, Pezzuto, Simone, Costabal, Francisco Sahli
The identification of the Purkinje conduction system in the heart is a challenging task, yet essential for a correct definition of cardiac digital twins for precision cardiology. Here, we propose a probabilistic approach for identifying the Purkinje
Externí odkaz:
http://arxiv.org/abs/2312.09887
Autor:
Verhülsdonk, Jan, Grandits, Thomas, Costabal, Francisco Sahli, Pinetz, Thomas, Krause, Rolf, Auricchio, Angelo, Haase, Gundolf, Pezzuto, Simone, Effland, Alexander
The efficient construction of anatomical models is one of the major challenges of patient-specific in-silico models of the human heart. Current methods frequently rely on linear statistical models, allowing no advanced topological changes, or requiri
Externí odkaz:
http://arxiv.org/abs/2308.16568
The eikonal equation has become an indispensable tool for modeling cardiac electrical activation accurately and efficiently. In principle, by matching clinically recorded and eikonal-based electrocardiograms (ECGs), it is possible to build patient-sp
Externí odkaz:
http://arxiv.org/abs/2308.08410