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dc.contributor.authorBakhshayesh, Hanieh
dc.contributor.authorFitzgibbon, Sean Patrick
dc.contributor.authorPope, Kenneth
dc.date.accessioned2015-02-16T01:52:56Z
dc.date.available2015-02-16T01:52:56Z
dc.date.issued2014-02
dc.identifier.citationBakhshayesh, H. ; Fitzgibbon, S.P. ; Pope, K.J., 2011. Detection of coupling with linear and nonlinear synchronization measures for EEG. Biomedical Engineering (MECBME), 2014 Middle East Conference, 17-20 February 2014. pp. 240 - 243en
dc.identifier.urihttp://hdl.handle.net/2328/35226
dc.descriptionAuthor version made available in accordance with Publisher copyright policy.en
dc.description.abstractThere has been extensive research aimed at measuring synchronization to study the relationships between complex time series, such as electroencephalography (EEG). We compare six synchronization measures: the linear measures of cross-correlation, coherence and partial coherence, and three nonlinear similarity measures, namely correntropy, phase index and mutual information. We apply these measures to simulated data (unidirectionally coupled Hénon maps) to test the detection of nonlinear and nonstationary interdependence, including in the presence of noise. We also apply these measures to simulated EEG. The results suggest different measures have both good and bad features. No measure is the clear winner and no method completely fails. “Best measure” depends on the particular data and aim of the research.en
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relationhttp://purl.org/au-research/grants/nhmrc/1098821en
dc.rightsCopyright © 2014 IEEEen
dc.subjectElectroencephalographyen
dc.subjectSynchronizationen
dc.titleDetection of coupling with linear and nonlinear synchronization measures for EEGen
dc.typeArticleen
dc.relation.grantnumberNHMRC/1098821en
dc.identifier.doihttps://doi.org/10.1109/MECBME.2014.6783249en
dc.rights.holderIEEEen
dc.rights.licenseIn Copyright
local.contributor.authorOrcidLookupPope, Kenneth: https://orcid.org/0000-0002-5081-2723en_US


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