Reconstruction of three-dimensional scroll waves in excitable media from two-dimensional observations using deep neural networks.

ABSTRACT: Scroll wave dynamics are thought to underlie life-threatening ventricular fibrillation. However, direct observations of three-dimensional electrical scroll waves remain elusive, as there is no direct way to measure action potential wave patterns transmurally throughout the thick ventricular heart muscle. Here we study whether it is possible to reconstruct simulated scroll waves and scroll wave chaos using deep learning. We trained encoding-decoding convolutional neural networks to predict three-dimensional scroll wave dynamics inside bulk-shaped excitable media from two-dimensional observations of the wave dynamics on the bulk's surface. We tested whether observations from one or two opposing surfaces would be sufficient and whether transparency or measurements of surface deformations enha

SUBMITTER: Lebert J 

PROVIDER: S-EPMC11493429 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature