3 papers
eess.SP2023
Compressor-Based Classification for Atrial Fibrillation Detection
Nikita Markov, Konstantin Ushenin, Yakov Bozhko +1
Atrial fibrillation (AF) is one of the most common arrhythmias with challenging public health implications. Therefore, automatic detection of AF episodes on ECG is one of the essen…
eess.SP2019
Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation
Konstantin Ushenin, Tatyana Nesterova, Dmitry Shmarko +1
A phase mapping is an approach to processing signals of electrograms recorded from the surface of cardiac tissue. The main concept of phase mapping is the application of the phase…
eess.IV2019
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
Alexander Karimov, Artem Razumov, Ruslana Manbatchurina +5
Deep neural networks show high accuracy in theproblem of semantic and instance segmentation of biomedicaldata. However, this approach is computationally expensive. Thecomputational…