Work

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

Year: 2023

Type: dataset

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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8183721

Authors: Kabus, Desmond, De Coster, Tim, de Vries, Antoine A.F., Pijnappels, Daniël A., Dierckx, Hans

Institutions: KU Leuven, Leiden University Medical Center

Language: English

Topic: Cardiac electrophysiology and arrhythmias

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W4393493775

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