CV Lattes
ORCID
Abstract
The process of classifying sleep stages is time-consuming and intensive and requires experts to analyze hours of EEG signals. The use of deep neural networks has been generating promising results, especially with convolutional architectures. These networks receive 30s windows as input and classify the sleep stage at that moment. However, contextual information, such as sleep stages at ear…