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Data integration for the numerical simulation of cardiac electrophysiology
Author(s) -
Pagani Stefano,
Dede’ Luca,
Manzoni Andrea,
Quarteroni Alfio
Publication year - 2021
Publication title -
pacing and clinical electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.686
H-Index - 101
eISSN - 1540-8159
pISSN - 0147-8389
DOI - 10.1111/pace.14198
Subject(s) - medicine , cardiac electrophysiology , process (computing) , clinical electrophysiology , electrophysiology , field (mathematics) , intensive care medicine , risk analysis (engineering) , neuroscience , computer science , mathematics , pure mathematics , operating system , biology
The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing therapies and interventions. In this direction, mathematical and numerical models provide a complementary relevant tool, able not only to reproduce patient‐specific clinical indicators but also to predict and explore unseen scenarios. With this goal, clinical data are processed and provided as inputs to the mathematical model, which quantitatively describes the physical processes that occur in the cardiac tissue. In this paper, the process of integration of clinical data and mathematical models is discussed. Some challenges and contributions in the field of cardiac electrophysiology are reported.