Digital Twinning for Personalized Atrial Fibrillation Care

Informazioni relative al progetto

TwinCare-AF

ID dell’accordo di sovvenzione: 101148636

DOI

10.3030/101148636

Progetto chiuso

Data della firma CE 4 Marzo 2024

Data di avvio 1 Aprile 2024

Data di completamento 31 Marzo 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 183 600,96

Coordinato da

MEDIZINISCHE UNIVERSITAT GRAZ
Austria

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Pubblicazioni

Peer reviewed articles (3)

Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins

Autori: Elena Zappon, Matthias A.F. Gsell, Karli Gillette, Gernot Plank
Pubblicato in: Computers in Biology and Medicine, Numero 189, 2025, ISSN 0010-4825
Editore: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2025.109930

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

Autori: Lore Van Santvliet, Elena Zappon, Matthias A.F. Gsell, Franz Thaler, Maarten Blondeel, Steven Dymarkowski, Guido Claessen, Rik Willems, Martin Urschler, Bert Vandenberk, Gernot Plank, Maarten De Vos
Pubblicato in: Computers in Biology and Medicine, Numero 192, 2025, ISSN 0010-4825
Editore: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2025.110230

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Autori: Elena Zappon, Luca Azzolin, Matthias A.F. Gsell, Franz Thaler, Anton J. Prassl, Robert Arnold, Karli Gillette, Mohammadreza Kariman, Martin Manninger, Daniel Scherr, Aurel Neic, Martin Urschler, Chris
Pubblicato in: Medical Image Analysis, Numero 107, 2025, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/J.MEDIA.2025.103822

Book chapters (1)

$$\varDelta $$-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks

Autori: Efraín Magaña, Elena Zappon, Gernot Plank, Simone Pezzuto, Francisco Sahli Costabal
Pubblicato in: Lecture Notes in Computer Science, Functional Imaging and Modeling of the Heart, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94562-5_4