• DocumentCode
    2144964
  • Title

    Connectivity Analysis of Quantitative Electroencephalogram Background Activity in Autism Disorders with Short Time Fourier Transform and Coherence Values

  • Author

    Sheikhani, Ali ; Behnam, Hamid ; Mohammadi, Mohammad Reza ; Noroozian, Maryam ; Golabi, Pari

  • Author_Institution
    Biomed. Eng. Fac., Islamic Azad Univ., Tehran
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    207
  • Lastpage
    212
  • Abstract
    Electroencephalography (EEG) is widely used in clinical settings to investigate neurophysiology. Since EEG signals contain a wealth of information about brain functions, there are many approaches in analyzing EEG signals with spectral techniques. We have used short time Fourier transform (STFT) at 19 channels of EEG for 10 Autism disorders (6-11 years old) and 7 age matched control subjects. The values were assessed with variance analysis. Results are shown that beta band (14-34Hz) has 82.4% discriminate between two groups. Coherence values at between 112 pairs of 19 channels EEG are shown there are abnormalities connectivity in parietal lobe and temporal lobe and connectivity between these lobes and central lobe.
  • Keywords
    Fourier transforms; electroencephalography; medical signal processing; EEG signals; autism disorders; brain functions; coherence values; connectivity analysis; neurophysiology; parietal lobe-temporal lobe; quantitative electroencephalogram background activity; short time Fourier transform; variance analysis; Autism; Band pass filters; Electrodes; Electroencephalography; Electromyography; Fourier transforms; Frequency; Scalp; Signal analysis; Variable speed drives; EEG; STFT; autism; coherence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.595
  • Filename
    4566149