• DocumentCode
    1899036
  • Title

    Sparsity-driven spatio-temporal EEG source estimation

  • Author

    Batu, Özge ; Cetin, Müjdat

  • Author_Institution
    Muhendislik ve Doga Bilimleri Fak., Sabanci Univ., Istanbul, Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    980
  • Lastpage
    983
  • Abstract
    We consider the problem of sparse source estimation using multiple time samples. We propose the use of a spatio-temporal constraint which is a combination of spatial ℓ1-norm for sparsity and temporal ℓ2-norm for nonspiky pattern in time. We demonstrate the effectiveness of this spatio-temporal method through experiments based on both simulated and human EEG data.
  • Keywords
    electroencephalography; medical signal processing; spatiotemporal phenomena; multiple time samples; nonspiky pattern; sparse source estimation; sparsity-driven spatiotemporal EEG source estimation; spatial ℓ1-norm; spatiotemporal constraint; temporal ℓ2-norm; Brain modeling; Conferences; Electroencephalography; Humans; Image reconstruction; Integrated circuit modeling; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929817
  • Filename
    5929817
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1899036