Convolutional Neural Networks Learning from Respiratory data

Convolutional neural networks (CNNs) have been successfully applied in a wide variety of fields, from image processing to genomic sequencing. In the context of biomedical data, we focus our attention on respiratory data, complex signals characterized by a high level of information richness and potential indicators of several common medical conditions. In this respect, we address the problem of identifying unhealthy indicators in respiratory...