Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG |
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Authors: | M Emin Tagluk Necmettin Sezgin and Mehmet Akin |
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Institution: | (1) Department of Electrical and Electronics Engineering, University of Inonu, Malatya, Turkey;(2) Department of Electrical and Electronics Engineering, University of Batman, Batman, Turkey;(3) Department of Electrical and Electronics Engineering, University of Dicle, Diyarbakir, Turkey; |
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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. |
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Keywords: | |
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