Automated quantification of the synchrogram by recurrence plot analysis

Nguyen, Chinh Duc, Wilson, Stephen J. and Crozier, Stuart (2012) Automated quantification of the synchrogram by recurrence plot analysis. IEEE Transaction on Biomedical Engineering, 59 4: 946-955. doi:10.1109/TBME.2011.2179937


Author Nguyen, Chinh Duc
Wilson, Stephen J.
Crozier, Stuart
Title Automated quantification of the synchrogram by recurrence plot analysis
Journal name IEEE Transaction on Biomedical Engineering   Check publisher's open access policy
ISSN 0018-9294
1558-2531
Publication date 2012-04-01
Year available 2011
Sub-type Article (original research)
DOI 10.1109/TBME.2011.2179937
Volume 59
Issue 4
Start page 946
End page 955
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher IEEE
Collection year 2013
Language eng
Abstract Recently, the concept of phase synchronization of two weakly coupled oscillators has raised a great research interest and has been applied to characterize synchronization phenomenon in physiological data. Phase synchronization of cardiorespiratory coupling is often studied by a synchrogram analysis, a graphical tool investigating the relationship between instantaneous phases of two signals. Although several techniques have been proposed to automatically quantify the synchrogram, most of them require a preselection of a phase-locking ratio by trial and error. One technique does not require this information; however, it is based on the power spectrum of phase’s distribution in the synchrogram, which is vulnerable to noise. This study aims to introduce a new technique to automatically quantify the synchrogram by studying its dynamic structure. Our technique exploits recurrence plot analysis, which is a well-established tool for characterizing recurring patterns and nonstationarities in experiments.We applied our technique to detect synchronization in simulated andmeasured infants’ cardiorespiratory data. Our results suggest that the proposed technique is able to systematically detect synchronization in noisy and chaotic data without preselecting the phase-locking ratio. By embedding phase information of the synchrogram into phase space, the phase-locking ratio is automatically unveiled as the number of attractors.
Keyword Cardiorespiratory coupling
Nonlinear analysis
Phase synchronization
Recurrence quantification analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Date of Publication: 15 December 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Thu, 22 Mar 2012, 21:33:31 EST by Mr Chinh Nguyen on behalf of School of Information Technol and Elec Engineering