Toward automatic detection of brain responses to emotional music through analysis of EEG effective connectivity
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- 作者：Hossein Shahabia ; 1 ; Sahar Moghimia ; b ; c ; s.moghimi@um.ac.ir" class="auth_mail" title="E-mail the corresponding author
- 关键词：Brain connectivity ; Electroencephalography (EEG) ; Directed transfer function ; Machine learning ; Multivariate autoregressive modeling ; Musical emotions
- 刊名：Computers in Human Behavior
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：58
- 期：Complete
- 页码：231-239
- 全文大小：2269 K
文摘
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We used both classical and Iranian musical excerpts.
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We recorded EEG signals while participants listened to musical selections.
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We defined features based on the theory effective connectivity.
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We examined the correlation of the extracted features with valence and arousal.
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We classified signals into different categories using connectivity-based features.