Sleep-stage efficient classification using a lightweight self-supervised model

Eldiane Borges dos Santos Durães, João Batista Florindo

Accurate classification of sleep stages is crucial for diagnosing sleep disorders and automating this process can significantly enhance clinical assessments. This study aims to exp…