EEG classification of emotions using emotion-specific brain functional network

The brain functional network perspective forms the basis to relate mechanisms of brain functions. This work analyzes the network mechanisms related to human emotion based on synchronization measure - phase-locking value in EEG to formulate the emotion specific brain functional network. Based on netw...

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Bibliographic Details
Published in2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2015; pp. 2896 - 2899
Main Authors Gonuguntla, V., Shafiq, G., Wang, Y., Veluvolu, K. C.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.08.2015
Subjects
Brain
Electrodes
Electroencephalography
Emotions
Humans
Materials requirements planning
Pragmatics
Rest
Synchronization
Time-frequency analysis
Yttrium
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Summary:The brain functional network perspective forms the basis to relate mechanisms of brain functions. This work analyzes the network mechanisms related to human emotion based on synchronization measure - phase-locking value in EEG to formulate the emotion specific brain functional network. Based on network dissimilarities between emotion and rest tasks, most reactive channel pairs and the reactive band corresponding to emotions are identified. With the identified most reactive pairs, the subject-specific functional network is formed. The identified subject-specific and emotion-specific dynamic network pattern show significant synchrony variation in line with the experiment protocol. The same network pattern are then employed for classification of emotions. With the study conducted on the 4 subjects, an average classification accuracy of 62 % was obtained with the proposed technique.
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2015.7318997