Diagnosis of sleep disorders is difficult owing to the nature of sleep microarchitecture and the heterogeneity of symptom presentation. Conventional analysis of Polysomnography (PSG)-the interpretation of EEG bandpower, sleep spindles, and K-complexes-is time-consuming, laborious, and subjective, restricting detection of infrequent co-occurrences of disorders and their link to neuro-cognitive and genetic disorders. To overcome these challenges, we present