Measuring phase synchrony using complex extensions of EMD

D. Looney, C. Park, D.P. Mandic, P. Kidmose, Michael Ungstrup

    Research output: Contribution to book/anthology/report/proceedingBook chapterResearchpeer-review

    24 Citations (Scopus)

    Abstract

    A framework for the robust assessment of phase synchrony between multichannel observations is introduced. This is achieved by using Empirical Mode Decomposition (EMD), a data driven technique which decomposes nonlinear and nonstationary data into their oscillatory components (scales). In general, it is rarely possible to jointly process two or more channels due to the non-uniqueness of the decompositions. To guarantee the same decomposition levels for every pair of channels analysed, we consider phase synchrony within the recently introduced framework of complex extensions of EMD. Simulation results on brain signals support the analysis.
    Original languageEnglish
    Title of host publicationIEEE Workshop on Statistical Signal Processing Proceedings
    Number of pages4
    Publication date1 Jan 2009
    Pages49-52
    ISBN (Print)9781424427109
    DOIs
    Publication statusPublished - 1 Jan 2009

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