Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG

TAĞLUK M. E., SEZGİN N., AKIN M.

JOURNAL OF MEDICAL SYSTEMS, vol.34, no.4, pp.717-725, 2010 (SCI-Expanded, Scopus) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 4
  • Publication Date: 2010
  • Doi Number: 10.1007/s10916-009-9286-5
  • Journal Name: JOURNAL OF MEDICAL SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.717-725
  • Inonu University Affiliated: Yes

Abstract

Analysis and classification of sleep stages is essential in sleep research. In this particular study, an alternative system which estimates sleep stages of human being through a multi-layer neural network (NN) that simultaneously employs EEG, EMG and EOG. The data were recorded through polisomnography device for 7 h for each subject. These collective variant data were first grouped by an expert physician and the software of polisomnography, and then used for training and testing the proposed Artificial Neural Network (ANN). A good scoring was attained through the trained ANN, so it may be put into use in clinics where lacks of specialist physicians.