Towards classification of sleep stages using deep learning

Abstract

We tried to classify the sleep stages of polysomnographic data using deep learning. The Sleep Heart Health Study (SHHS) dataset published by the National Sleep Research Resource (NSRR) was used to train and classify the convolutional neural network (CNN) model. We report on our evaluation and discussion of the results of using a CNN model to classify polysomnographic data into six sleep stages.