Detection of coupling with linear and nonlinear synchronization measures for EEG

Simple item page
dc.contributor.author Bakhshayesh, Hanieh
dc.contributor.author Fitzgibbon, Sean Patrick
dc.contributor.author Pope, Kenneth
dc.date.accessioned 2015-02-16T01:52:56Z
dc.date.available 2015-02-16T01:52:56Z
dc.date.issued 2014-02
dc.description Author version made available in accordance with Publisher copyright policy. en
dc.description.abstract There 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.identifier.citation Bakhshayesh, 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 - 243 en
dc.identifier.doi https://doi.org/10.1109/MECBME.2014.6783249 en
dc.identifier.uri http://hdl.handle.net/2328/35226
dc.language.iso en
dc.oaire.license.condition.license In Copyright
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation http://purl.org/au-research/grants/nhmrc/1098821 en
dc.relation.grantnumber NHMRC/1098821 en
dc.rights Copyright © 2014 IEEE en
dc.rights.holder IEEE en
dc.subject Electroencephalography en
dc.subject Synchronization en
dc.title Detection of coupling with linear and nonlinear synchronization measures for EEG en
dc.type Article en
local.contributor.authorOrcidLookup Pope, Kenneth: https://orcid.org/0000-0002-5081-2723 en_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bakhshayesh_Detection_MS2014.pdf
Size:
431.51 KB
Format:
Adobe Portable Document Format
Description:
Author Version
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.73 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
National Health and Medical Research Council (NHMRC)
 Flinders Open Access Research