Automatic detection of anomalies in electrocardiograms with generative deep learning

A model for detecting anomalies in electrocardiograms based on various models of autoencoders proposed. Computer experiments on its application in the task of detecting anomalies in electrocardiograms have shown higher efficiency in comparison with other unsupervised machine learning models.