IIUM Repository

Stress recognition using Electroencephalogram (EEG) signal

Wali, Tuerxun and Yousif, Sa’ad Alshebly and Sidek, Khairul Azami and Md Johar, Md Gapar (2020) Stress recognition using Electroencephalogram (EEG) signal. In: International Conference on Telecommunication, Electronic and Computer Engineering 2019, ICTEC 2019, 22nd - 24th Oct. 2019, Melaka, Malaysia..

[img] PDF - Published Version
Restricted to Registered users only

Download (636kB) | Request a copy
[img] PDF (SCOPUS) - Supplemental Material
Restricted to Registered users only

Download (227kB) | Request a copy


. The electroencephalogram (EEG) is a device for measuring the electrical activity of the brain; it has the ability to detect the waves at various frequencies. The device uses a small electrode to record the measurements. The EEG waves can be used to detect many activities in the brain, such as stress. This study identifies stress using EEG signals. Stress causes a certain range of frequencies in the range to change their activities, in which the changes can be analyzed. Test results were filtered properly, and the frequency bands measured. The data shows the difference in the ratio of beta waves and alpha waves in the brain as a result of stress. The changes in the ratio will be able to show the degree of stress encountered.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 4698/83808
Uncontrolled Keywords: Alpha waves, EEG signals, Electrical activities, Electro-encephalogram (EEG), Electroencephalogram signals, Stress recognition
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Assoc Prof Dr Khairul Azami Sidek
Date Deposited: 20 Oct 2020 09:10
Last Modified: 20 Oct 2020 09:10
URI: http://irep.iium.edu.my/id/eprint/83808

Actions (login required)

View Item View Item


Downloads per month over past year