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

ABSTRACT: The analysis of electrical impulse phenomena in cardiac muscle tissue is important for the diagnosis of heart rhythm disorders and other cardiac pathophysiology. Cardiac mapping techniques acquire local temporal measurements and combine them to visualize the spread of electrophysiological wave phenomena across the heart surface. However, low spatial resolution, sparse measurement locations, noise and other artifacts make it challenging to accurately visualize spatio-temporal activity. For instance, electro-anatomical catheter mapping is severely limited by the sparsity of the measurements, and optical mapping is prone to noise and motion artifacts. In the past, several approaches have been proposed to create more reliable maps from noisy or sparse mapping data. Here, we demonstrate that de

SUBMITTER: Lebert J 

PROVIDER: S-EPMC8718715 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature