Abstract:
Objective: Recognition of cortical arousal and sleep stages is pivotal for diagnosing sleep disorders, yet it hinges on labor-intensive manual scoring. Current intelligent approaches treat these two tasks as separate entities and heavily rely on electroencephalograms or other physiological signals, constraining their accessibility and practical application. Methods: In this paper, …