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Studies of scalp level connectivity and representative channels in epilepsy
Li, Jia Wen1; Mak, Peng Un1; Barma, Shovan2; Pun, Sio Hang1; Cui, Xu Tong1; Che, U. Kin1; Vai, Mang I.1
2017-12
Conference Name10th Biomedical Engineering International Conference (BMEiCON)
Source PublicationBMEiCON 2017 - 10th Biomedical Engineering International Conference
Volume2017-January
Pages1-4
Conference DateAUG 31-SEP 02, 2017
Conference PlaceHokkaido Univ, Sapporo, JAPAN
Abstract

Epilepsy is a typical neurological disorder. To find the characteristics of epilepsy, scalp level connectivity is one of the interests that widely studied before. However, another aspect about the scalp representative channels, which presents the synchronous regions, has not yet been investigated. In this work, we focus on study the scalp responses of epilepsy by connectivity and representative channels. Electroencephalography (EEG), the technique to record the electrical activities of brain, has been utilized. An online EEG database of epilepsy reported from Karunya University in India was selected to be the testbed. By using two methods, coherence and correlation, the scalp level connectivity which shows the networks of scalp responses, can be mapped. Moreover, the representative channels can also be obtained based on the mentioned two methods. According to the statistical results of 94 subjects, the scalp channels F4, C4, P4, and T4 occupied higher percentages than others. These findings are beneficial for us to enrich the understanding of scalp responses in epilepsy.

KeywordCoherence Correlation Eeg Epilepsy Representative Channels Scalp Level Connectivity
DOI10.1109/BMEiCON.2017.8229112
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical ; Engineering, Electrical & Electronic
WOS IDWOS:000427614400015
Scopus ID2-s2.0-85046294783
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
INSTITUTE OF MICROELECTRONICS
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,Mak, Peng Un,Barma, Shovan,et al. Studies of scalp level connectivity and representative channels in epilepsy[C], 2017, 1-4.
APA Li, Jia Wen., Mak, Peng Un., Barma, Shovan., Pun, Sio Hang., Cui, Xu Tong., Che, U. Kin., & Vai, Mang I. (2017). Studies of scalp level connectivity and representative channels in epilepsy. BMEiCON 2017 - 10th Biomedical Engineering International Conference, 2017-January, 1-4.
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