Abstract

Electroencephalography (EEG) are electrical signals that occur in every activity of the brain. Investigation of normal and abnormal changes that take place in the human brain using EEG signals is a widely used method in recent years. The World Health Organization (WHO) states that one of the most important health problems in today's society is depressive disorders. Nowadays, various scales are used in the diagnosis of depressive disorder in individuals. These scales are based on the declaration of the individual. In recent studies, EEG has been used as a biomarker for the diagnosis of depression. In this study, EEG signals from 30 patients with clinical depressive disorder have been recorded. EEG signals have been collected for 1 minute with eyes open and closed. The collected data have been divided into attributes by continuous wavelet transform which is used in many studies in processing non-stationary signals such as EEG. Obtained attributes have been classified with kNN classification method. As a result, it was observed that EEG signals, collected from subjects with depression while eyes are open and closed, can be classified with an accuracy of 91.30%.

Highlights

  • IN ANY movement that occurs in the human body, electrical activity occurs in nerve cells in the brain

  • EEG signals were collected on a voluntary basis from the patients whose depressive disorder were diagnosed by using the scales applied in the Psychiatry Department of Çukurova University Medical Faculty clinically

  • In the scope of this study, 30 patients diagnosed as having depressive disorder who were treated in Balcalı Hospital Psychiatry Department of Çukurova University Medicine Faculty were included in the study

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Summary

Introduction

IN ANY movement that occurs in the human body, electrical activity occurs in nerve cells in the brain. Patients with depressive disorder and drug therapy were divided into two groups as responders and non-responders and EEG signals were collected. In the studies conducted recently, EEG signals of individuals diagnosed with Major Depressive Disorder are examined, and it is tried to obtain meaningful results from these signals [5,6]. EEG signals were collected on a voluntary basis from the patients whose depressive disorder were diagnosed by using the scales applied in the Psychiatry Department of Çukurova University Medical Faculty clinically. These signals are collected by means of electrodes placed in accordance with the international 10/20 system. The aim of this study was to determine whether the EEG data collected from the patients with depressive disorder in the eyes open and closed state could be differentiated from each other

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