HyperAI

Sleep Stage Detection

Sleep Stage Detection involves the automatic identification and classification of sleep stages from polysomnography signals, including wakefulness (W), non-rapid eye movement sleep stage I (N1), non-rapid eye movement sleep stage II (N2), non-rapid eye movement sleep stage III (N3), and rapid eye movement sleep (REM). This task aims to improve the accuracy and efficiency of sleep disorder diagnosis, which is of significant application value in clinical medicine and sleep research.