International Journal of Engineering, Technology and Natural Sciences (IJETS)
Vol 4 No 2 (2022): International Journal of Engineering, Technology and Natural Sciences

Classification of Electroencephalogram Generated by Brain for Analysis of Brain Wave Signals in Students Depression

Aditya Dimas (Aditya Dimas)



Article Info

Publish Date
30 Dec 2022

Abstract

Electroencephalogram (EEG) is a brain signal processing technique used to detect abnormal brain waves. EEG signal recording uses electrodes placed on the scalp. AD620 is used to obtain high input impedance. The EEG signal is amplified by transmitting the signal into the notch filter, high pass filter and low pass filter to improve the quality of the signal such as eliminating and reducing noise. EEG recording focuses on analyzing alpha waves to determine whether the subject is students who suffering depression. For cases of depression, the lobes of the brain placed electrodes are the Occipital and Parietal lobes of the brain. The selection of participants in this study was based on the results of tests using the Student Health Questionnaire-9 (PHQ-9) method. The results obtained after recording EEG showed there was theta wave shaped abnormally large and abnormal alpha wave who shaped abnormally large.

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Journal Info

Abbrev

IJETS

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

Journal IJETS concern in publishing the original research articles, review articles from contributors, and the current issues related to engineering, technology and natural sciences. The main objective of IJETS is to provide a platform for the international scholars, academicians and ...