The present invention relates to a system for automatically classifying sleep stages on the basis of biosignals for predicting sleep stages using mutually different biosignals. For this purpose, the present invention relates to a system for automatically classifying sleep stages on the basis of biosignals, comprising: a biosignal detection unit using EEG, EOG, EMG, PPG, SKT, and GSR sensors to acquire various biosignals through mutually different channels; a signal-processing and characteristic extraction unit using a method suitable for extracting the characteristics of each biosignal to process the various biosignals acquired through each channel by the biosignal detection unit, and extract a certain characteristic from each of the biosignals; a subset-generating unit for generating biosignal groups based on the certain characteristics of each biosignal extracted by the signal-processing and characteristic extraction unit; and a performance evaluation unit for classifying the biosignals into sleep stage categories (i.e. REM, LS, and DS) using the biosignal groups formed by the subset-generating unit, and analyzing a performance evaluation of the groups for each stage, wherein for the analysis of sleep stages using mutually different biosignals, sleep stages can be accurately and conveniently predicted through the combination of biosignals in order to enable accurate measurement and convenience.
SYSTEM FOR AUTOMATICALLY CLASSIFYING SLEEP STAGES ON THE BASIS OF BIOSIGNALS