Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks

Mathieu Seraphim, Alexis Lechervy, Florian Yger +2

Purpose: In sleep medicine, assessing the evolution of a subject's sleep often involves the costly manual scoring of electroencephalographic (EEG) signals. In recent years, a numbe…