An Emotional Model based on Wavelet Coherence Analysis of EEG Recordings.

Autor: Fattouh, Anas
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Zdroj: BVICAM's International Journal of Information Technology; Jul-Dec2016, Vol. 8 Issue 2, p1023-1028, 6p
Abstrakt: Molding emotion from electroencephalography (EEG) recordings has been always a challenge to researchers. They have developed some models by analyzing the temporal and/or spectral properties of EEG recording. However, analyzing the temporal and spectral synchronization between two EEG recordings can provide information about the functional connectivity of the brain undetectable by the conventional methods. This paper presents a wavelet coherence analysis of EEG recordings acquired from healthy subjects while they are listening to verses from the Quran recited by different reciters. The results showed that the connectivity between some pairwise electrodes changes significantly with the emotion reported by the subjects. Therefore, they can be used as a model to estimate the emotion. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index