File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Analysis of time-varying synchronization of EEG during sentences identification

TitleAnalysis of time-varying synchronization of EEG during sentences identification
Authors
KeywordsNeural signal processing
time-varying synchronization
sentences learning
Issue Date2003
PublisherIEEE.
Citation
The 1st IEEE - E M B S International Conference on Neural Engineering Proceedings, Capri Island, Italy, 20-22 March 2003, p. 87-90 How to Cite?
AbstractThe study of the synchronization of EEG signals can help us to understand the underlying cognitive processes and detect the learning deficiencies since the oscillatory states in the EEG reveal the rhythmic synchronous activity in large networks of neurons. As the changes of the physiological states and the relative environment exist when cognitive and information processing take place in different brain regions at different times, the practical EEGs therefore turn out to be extremely non-stationary processes. To investigate how these distributed brain regions are linked together and the information is exchanged with time, this paper proposes a modern time-frequency coherent analysis method that employs an alternative way for quantifying synchronization with both temporal and spatial resolution. Wavelet coherent spectrum is defined such that the degree of synchronization and information flow between different brain regions can be described. Several real EEG data are analysed under the cognitive tasks of sentences identification in both English and Chinese. The time-varying synchronization between the brain regions involved in the processing of sentences exhibited that a common neural network is activated by both English and Chinese sentences. The results of the presented method are helpful for studying English and Chinese learning for Chinese students.
Persistent Identifierhttp://hdl.handle.net/10722/46382

 

DC FieldValueLanguage
dc.contributor.authorShen, Men_HK
dc.contributor.authorTing, KHen_HK
dc.contributor.authorBeadle, PJen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:48:41Z-
dc.date.available2007-10-30T06:48:41Z-
dc.date.issued2003en_HK
dc.identifier.citationThe 1st IEEE - E M B S International Conference on Neural Engineering Proceedings, Capri Island, Italy, 20-22 March 2003, p. 87-90en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46382-
dc.description.abstractThe study of the synchronization of EEG signals can help us to understand the underlying cognitive processes and detect the learning deficiencies since the oscillatory states in the EEG reveal the rhythmic synchronous activity in large networks of neurons. As the changes of the physiological states and the relative environment exist when cognitive and information processing take place in different brain regions at different times, the practical EEGs therefore turn out to be extremely non-stationary processes. To investigate how these distributed brain regions are linked together and the information is exchanged with time, this paper proposes a modern time-frequency coherent analysis method that employs an alternative way for quantifying synchronization with both temporal and spatial resolution. Wavelet coherent spectrum is defined such that the degree of synchronization and information flow between different brain regions can be described. Several real EEG data are analysed under the cognitive tasks of sentences identification in both English and Chinese. The time-varying synchronization between the brain regions involved in the processing of sentences exhibited that a common neural network is activated by both English and Chinese sentences. The results of the presented method are helpful for studying English and Chinese learning for Chinese students.en_HK
dc.format.extent378835 bytes-
dc.format.extent511437 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rights©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectNeural signal processingen_HK
dc.subjecttime-varying synchronizationen_HK
dc.subjectsentences learningen_HK
dc.titleAnalysis of time-varying synchronization of EEG during sentences identificationen_HK
dc.typeConference_Paperen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/CNE.2003.1196762en_HK
dc.identifier.hkuros82027-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats