EEG based sleep staging

EEG-based sleep staging is an important application of time series analysis, focusing on using electroencephalogram (EEG) signals for sleep stage classification. The task aims to automatically identify and segment different sleep stages, including non-rapid eye movement (NREM) and rapid eye movement (REM), by analyzing the characteristics of EEG signals, thereby improving the accuracy and efficiency of sleep monitoring. Its application value lies in assisting clinical diagnosis, researching sleep disorders, and optimizing methods for assessing sleep quality.