arxivcs.LG2026-07-16
Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals
Shashank Manjunath, Mukesh Cheemakurthi, Aarti Sathyanarayana
Sleep apnea diagnosis via polysomnography remains resource intensive and relies on time consuming manual data analysis and scoring. Recent work has demonstrated that central nervous system effects of sleep apnea events can be detected through electroencephalogram (EEG) signals. H…