Data integration for the numerical simulation of cardiac electrophysiology.
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, m...
| Publicado en: | Pacing & Clinical Electrophysiology Vol. 44; no. 4; pp. 726 - 737 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149757161&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149757161 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01478389 4F8 jtl: Pacing & Clinical Electrophysiology issn: 01478389 maglogo: Y pubinfo: dt: Apr2021 vid: 44 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 149757161 149119833 149757161 149757161 10.1111/pace.14198 149757161 ppf: 726 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Data integration for the numerical simulation of cardiac electrophysiology. aug: au: Pagani, Stefano Dede', Luca Manzoni, Andrea Quarteroni, Alfio affil: MOX‐Department of Mathematics, Politecnico di Milano, Milan, Italy sug: subj: Data Management Medical Informatics Models, Statistical Simulations Electrophysiology Arrhythmia Artificial Intelligence Mathematics ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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