Dataset for "Numerical methods for the detection of phase defect structures in excitable media"

<p>This archive contains the numerical methods&nbsp;presented in the publication &quot;Numerical methods for the detection of phase defect structures in excitable media&quot; as well as the data sets these methods have been applied on. The Python module for Ithildin (py_ithildin.zip) contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (scripts-pdl-detection.zip). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The second variable for the optical data (optical_20200204114234_v.npy) is a delayed version of the first variable.&nbsp;The other files contain simulation results from several finite differences simulations of the mono-domain model. For details, see our paper.</p> <p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271351"><strong>Numerical methods for the detection of phase defect structures in excitable media</strong></a><br> Kabus&nbsp;D, Arno&nbsp;L, Leenknegt&nbsp;L, Panfilov&nbsp;AV, Dierckx&nbsp;H (2022)&nbsp;Numerical methods for the detection of phase defect structures in excitable media. PLOS ONE 17(7): e0271351.&nbsp;<a href="https://doi.org/10.1371/journal.pone.0271351">https://doi.org/10.1371/journal.pone.0271351</a></p>