Open AccessStress recognition using Electroencephalogram (EEG) signal
Author(s) -
Tuerxunwaili,
Yousif Saad Alshebly,
Khairul Azami Sidek,
Gapar Md Johar
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1502/1/012052
Subject(s) - electroencephalography , brain waves , stress (linguistics) , alpha wave , signal (programming language) , brain activity and meditation , alpha (finance) , range (aeronautics) , acoustics , pattern recognition (psychology) , psychology , physics , computer science , artificial intelligence , materials science , neuroscience , developmental psychology , linguistics , philosophy , construct validity , programming language , psychometrics , composite material
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.