Classification of Sleep Stages Using PSG Recording Signals

Yasin Koca; Seral Özşen; Fatma Zehra Göğüş; Gülay Tezel; Serkan Küçüktürk; Hülya Vatansev

doi:10.31590/ejosat.804709

Research Article

PSG Kayıt Sinyalleri Kullanılarak Uyku Evrelerinin Sınıflandırılması

Year 2020, Ejosat Special Issue 2020 (ICCEES), 315 - 321, 05.10.2020

Yasin Koca , Seral Özşen , Fatma Zehra Göğüş Gülay Tezel , Serkan Küçüktürk , Hülya Vatansev

https://doi.org/10.31590/ejosat.804709

Abstract

Automatic sleep staging is aimed within the scope of this paper. Sleep staging is a study by a sleep specialist. Since this process takes quite a long time and sleep is a method based on the knowledge and experience, it is inevitable for each person to show different results. For this, an automatic sleep staging method has been introduced. In the study, EEG (Electroencephalogram), EOG (Electrooculogram), EMG (Electromyogram) data recorded by PSG (Polysomnography) device for seven patients in Necmettin Erbakan University sleep laboratory were used. 81 different features were taken from the data in time and frequency environment. Also, PCA (Principal component analysis) and SFS (Sequential forward selection) feature selection methods were used. The classification success of the sleep phases in different machine learning methods was measured by using the received features. Linear D. (Linear Discriminant Analysis), Cubic SVM (Support vector machine), Weighted kNN (k nearest neighbor), Bagged Trees, ANN (Artificial neural network) were used as classifiers. System success was achieved with a 5 fold cross-validation method. Accuracy rates obtained were respectively 55.6%, 65.8%, 67%, 72.1%, and 69.1%.

Keywords

PSG, Sleep Stages, EEG, EOG, EMG, Bagged Trees

Supporting Institution

Tübitak

Project Number

119E127

Thanks

Bu çalışma Tübitak tarafından "Türk Osas Hastalarında Cpap Değerini Etkileyen Polisomnografik Özelliklerin Belirlenmesi ve Optimum Cpap Değerinin Yapay Zekâ İle Tahmini" isimli ve 119E127 numaralı 1001 projesi kapsamında desteklenmektedir.

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