Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks

no code implementations • 22 Sep 2021 • Jan Lebert, Namita Ravi, Flavio Fenton, Jan Christoph

Here, we demonstrate that deep learning can be used to compute phase maps and detect phase singularities in optical mapping videos of ventricular fibrillation, as well as in very noisy, low-resolution and extremely sparse simulated data of reentrant wave chaos mimicking catheter mapping data.

Temporal Sequences Time Series Analysis