ECG Segmentation by Neural Networks: Errors and Correction

In this study we examined the question of how error correction occurs in an ensemble of deep convolutional networks trained for an important applied problem: segmentation of Electrocardiograms(ECG). We also explore the possibility of using the information about ensemble errors to evaluate a quality of data representation built by the network.