Natural and Engineering Sciences | |
Detection of EEG Patterns for Induced Fear Emotion State via EMOTIV EEG Testbench | |
article | |
Ahmet Ergun Gümüş1  Çağlar Uyulan2  Zozan Guleken3  | |
[1] Uskudar University, Institute of Health Sciences, Department of Neuroscience;İzmir Katip Çelebi University, Faculty of Engineering and Architecture, Department of Mechanical Engineering;Uskudar University, Faculty of Medicine, Department of Physiology | |
关键词: EEG Fear-type emotion signal processing; ERP; FFT; IAPS; EROs; | |
DOI : 10.28978/nesciences.1159248 | |
学科分类:数学(综合) | |
来源: Natural and Engineering Sciences | |
【 摘 要 】
In this study, International Affective Picture System (IAPS) were used to evoke fear and neutral stimuli using EMOTIV EPOC EEG recognition system (n=15). During the experiments, EEG data were recorded using the Test bench program. To synchronize the EEG records, IAPS pictures were reflected on the screen. A Python script was written in the Open Sesame program to provide a synchronized data flow in the Input/Output channels of the installed virtual serial port. The Event-Related Oscillations (ERO) responses and Event-Related Potentials (ERPs) were calculated. Statistically significant differences (p<0.05) were observed among the mean amplitude differences in the P7, O1, F3, AF3, P8 channels at 200-400 milliseconds in the ERP analysis, and also significant (p<0.05) differences were found in alpha(∝) and beta(β) brainwaves compared to neutral stimuli, in the Fast Fourier Transform (FFT) analysis. After these evaluations, different time-spectral signal activity patterns occurred in the right frontal lobe (F4) at the (∝) band, and in the left parietal lobe at the (β) band, respectively.
【 授权许可】
CC BY
【 预 览 】
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RO202307120002340ZK.pdf | 956KB | download |