Dataset for "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns"

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This archive contains the source code and data sets presented in the publication "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns". Kabus, D., De Coster, T., de Vries, A. A., Pijnappels, D. A., & Dierckx, H. (2024). Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns. Computers in Biology and Medicine, 107949. https://doi.org/10.1016/j.compbiomed.2024.107949

Authors 5

1. Desmond Kabus

   KU Leuven

   Affiliation as printed

   KU Leuven, LUMC

2. Tim De Coster Aachen

   Leiden University Medical Center

   Affiliation as printed

   LUMC

3. Antoine A.F. de Vries Aachen

   Leiden University Medical Center

   Affiliation as printed

   LUMC

4. Daniël A. Pijnappels Aachen

   Leiden University Medical Center

   Affiliation as printed

   LUMC

5. Hans Dierckx

   KU Leuven

   Affiliation as printed

   KU Leuven