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Scalp level connectivity for representative channels in emotional status
Li, Jia Wen1; Cui, Xu Tong1; Barma, Shovan2; Pun, Sio Hang1; Mou, Pedro Antonio1; Huang, Hui Juan1; Che, U. Kin1; Vai, Mang I.1; Mak, Peng Un1
2018-06
Conference NameIUPESM World Congress on Medical Physics and Biomedical Engineering
Source PublicationIFMBE Proceedings
Volume68
Issue2
Pages227-231
Conference DateJUN 03-08, 2018
Conference PlacePrague, CZECH REPUBLIC
Abstract

Emotion can be regarded as a special brain status and it can be captured by Electroencephalography (EEG) via deploying number of channels all over the scalp. To find out the characteristics of emotional responses, the scalp level connectivity is one of the interests that considered. Nevertheless, to distinguish the significant EEG channels, which can imply the special regions at scalp level, has not yet been studied well. Therefore, in this work, we aim to identify the representative channels towards different emotional status by considering the connectivity derived from the values of coherence and correlation. In this purpose, DEAP, an online database has been investigated. Certainly, the emotional status can be evaluated on the valence-arousal (V-A) space and here, four groups contain HVHA, HVLA, LVHA, and LVLA have been studied. The results from 16 subjects show that the EEG channels AF3, F7, P7 and O1 have higher percentages in term of the connectivity and they could be considered as the representative channels in this case. Such findings could be useful to understand the scalp responses in emotional status.

KeywordEeg Emotion Representative Channels Scalp Level Connectivity
DOI10.1007/978-981-10-9038-7_42
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaEngineering ; Radiology ; Nuclear Medicine ; Medical Imaging
WOS IDWOS:000449742700042
Scopus ID2-s2.0-85048215524
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Citation statistics
Document TypeConference paper
CollectionINSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorMak, Peng Un
Affiliation1.Universidade de Macau
2.Indian Institute of Information Technology Guwahati
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li, Jia Wen,Cui, Xu Tong,Barma, Shovan,et al. Scalp level connectivity for representative channels in emotional status[C], 2018, 227-231.
APA Li, Jia Wen., Cui, Xu Tong., Barma, Shovan., Pun, Sio Hang., Mou, Pedro Antonio., Huang, Hui Juan., Che, U. Kin., Vai, Mang I.., & Mak, Peng Un (2018). Scalp level connectivity for representative channels in emotional status. IFMBE Proceedings, 68(2), 227-231.
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