INDUSTRY-ACADEMIC COOPERATION FOUNDATION; YONSEI UNIVERSITY
发明人:
YOO, Seon Kook,유선국,LEE, Chung Ki,이충기
申请号：
KRKR2010/006703
公开号：
WO2012/018157A1
申请日:
2010.09.30
申请国别(地区):
WO
年份:
2012
代理人:
摘要：
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.La présente invention concerne un système de classement automatique des stades du sommeil sur la base de signaux biologiques permettant de prédire les stades du sommeil en fonction de signaux biologiques différents les uns des autres. A cette fin, la présente invention concerne un système de classement automatique des stades du sommeil en fonction de signaux biologiques comprenant une unité de détection de signaux biologiques utilisant des capteurs dEEG, EOG, EMG, PPG, SKT et GSR pour acquérir divers signaux biologiques par des canaux différents les uns des autres une unité de
