• English
    • العربية
  • العربية 
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
    • QSpace policies
Advanced Search
Advanced Search
View Item 
  •   Qatar University QSpace
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Engineering Innovation Research
  • View Item
  • Qatar University QSpace
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Engineering Innovation Research
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals

    Icon
    View/Open
    Boashash-Omidvarnia-et-al_2013_Elsevier_DSP_tf-based-phase-synchrony-assessment.pdf (1.439Mb)
    Date
    2013-05
    Author
    Omidvarnia, A
    Azemi, G
    Colditz, P.B
    Boashash, B
    Metadata
    Show full item record
    Abstract
    This paper proposes a new approach to estimate the phase synchrony among nonstationary multivariate signals using the linear relationships between their instantaneous frequency (IF) laws. For cases where nonstationary signals are multi-component, a decomposition method like multi-channel empirical mode decomposition (MEMD) is used to simultaneously decompose the multi-channel signals into their intrinsic mode functions (IMFs). We then apply the Johansen method on the IF laws to assess the phase synchrony within multivariate nonstationary signals. The proposed approach is validated first using multi-channel synthetic signals. The method is then used for quantifying the inter-hemispheric EEG asynchrony during ictal and inter-ictal periods using a newborn EEG seizure/non-seizure database of five subjects. For this application, pair-wise phase synchrony measures may not be able to account for phase interactions between multiple channels. Furthermore, the classical definition of phase synchrony, which is based on the rational relationships between phases, may not reveal the hidden phase interdependencies caused by irrational long-run relationships. We evaluate the performance of the proposed method using the differentiation of unwrapped phase as well as other IF estimation techniques. The results obtained on newborn EEG signals confirm that the generalized phase synchrony within EEG channels increases significantly during ictal periods. A statistically consistent phase coupling is also observed within the non-seizure segments supporting the concept of constant inter-hemispheric connectivity in the newborn brain during inter-ictal periods.
    DOI/handle
    http://hdl.handle.net/10576/10892
    Collections
    • Engineering Innovation Research [‎41 ‎ items ]

    entitlement


    QSpace is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of QSpace
      Communities & Collections Publication Date Author Title Subject Type Language
    This Collection
      Publication Date Author Title Subject Type Language

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission QSpace policies

    Help

    Item Submission Publisher policiesUser guides FAQs

    QSpace is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video