Use of deep learning algorithms for segmentation of microelectrode arrays electrograms in the study of changes in myocardial bioelectrical activity
Elena Kotikhina, Denis Karchkov, V. A. Moskalenko, Anton Rybkin, Ruslan Smirnov, Grigory V. Osipov, Lev A. Smirnov
The paper uses a U-Net-based neural network to segment electrograms from microelectrode arrays in rat hearts perfused with L-carnitine, showing reduced heart rate and conduction velocity.
bioRxiv · Nov 19, 2024 · PreprintPhysiology