{"title":"Correlation Indices of Electroencephalogram-Based Relative Powers during Human Emotion Processing","authors":"N. Al-Qazzaz, Mohannad K. Sabir, K. Grammer","doi":"10.1145/3326172.3326179","DOIUrl":null,"url":null,"abstract":"The present study sought to employ audio-visual video clip stimuli to explore the electroencephalography-based (EEG) correlation between various emotional states. To that end, seven short video clips were shown to ten volunteer participants without health conditions whilst emotional EEG data were captured. The method of independent component analysis and wavelets (AICA-WT) was adopted for screening the extracted data. The correlation indices were computed based on spectral features employing the relative powers (RP) of delta (ΔRP), theta (&thetas;RP), alpha (αRP), beta (βRP), and gamma (γRP). The next step was calculation of Pearson's correlation between the of the neutral state and the of the six fundamental emotional states (i.e. anger, anxiety, disgust, happiness, sadness and surprise) of every EEG channel for different brain areas (i.e. frontal, temporal, parietal and occipital scalp). According to the findings obtained, the correlation of brain activity and emotional states among the brain areas observable in healthy EEG data can be investigated based on the relevant indices afforded by the new denoising method alongside EEG-based correlation analysis of the RP.","PeriodicalId":293245,"journal":{"name":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","volume":"445 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology - ICBET' 19","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3326172.3326179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The present study sought to employ audio-visual video clip stimuli to explore the electroencephalography-based (EEG) correlation between various emotional states. To that end, seven short video clips were shown to ten volunteer participants without health conditions whilst emotional EEG data were captured. The method of independent component analysis and wavelets (AICA-WT) was adopted for screening the extracted data. The correlation indices were computed based on spectral features employing the relative powers (RP) of delta (ΔRP), theta (&thetas;RP), alpha (αRP), beta (βRP), and gamma (γRP). The next step was calculation of Pearson's correlation between the of the neutral state and the of the six fundamental emotional states (i.e. anger, anxiety, disgust, happiness, sadness and surprise) of every EEG channel for different brain areas (i.e. frontal, temporal, parietal and occipital scalp). According to the findings obtained, the correlation of brain activity and emotional states among the brain areas observable in healthy EEG data can be investigated based on the relevant indices afforded by the new denoising method alongside EEG-based correlation analysis of the RP.