Automatic Sleep Stage Classification

Automatic Sleep Stage Classification refers to the use of machine learning and signal processing techniques to automatically analyze polysomnography data and identify different sleep stages. This technology aims to improve the efficiency and accuracy of sleep monitoring, reduce the time cost associated with manual labeling, and provide reliable data support for clinical diagnosis and sleep research. Through automated classification, sleep quality can be assessed more effectively, assisting doctors in formulating personalized treatment plans and enhancing the patient's medical experience.