• DocumentCode
    3565487
  • Title

    Spectral analysis based brain imaging of normal, poor dyslexic, and capable dyslexic children in reading, writing and spelling task

  • Author

    Mohamad, N.B. ; Lee, Khuan Y. ; Mansor, W. ; Mahmoodin, Z. ; Che Wan Fadzal, C.W.N.F. ; Mohamad, S. ; Amirin, S.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2014
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    Dyslexic is a medical term referred to people suffering from dyslexia. Dyslexia is viewed as a neurological defect that causes the subject´s electrophysiological signal of the brain to process information differently from that of normal children. In this paper, we introduce a two-dimension (2D) neural distribution method of analyzing normal and dyslexic children in reading, writing and spelling. The objectives of our experimental study are to extract the unique features, based on comparison between normal, poor dyslexic and capable dyslexic in frequency domain using Spectral Analysis and to study the potential brain area activation using electroencephalogram (EEG) brain imaging method. The 2D result shows that neural activities of normal subject are clearly highlighted on the left hemisphere. In addition, it is found that neural activities of capable dyslexic is higher on the right hemisphere than the left hemisphere, while contrasting result is found with poor dyslexic.
  • Keywords
    bioelectric potentials; diseases; electroencephalography; feature extraction; medical image processing; neurophysiology; paediatrics; spectral analysis; speech; 2D neural distribution method; EEG brain imaging method; dyslexic children; electroencephalography; electrophysiological signal; feature extraction; neurological defect; reading task; spectral analysis based brain imaging; spelling task; writing task; Conferences; Electroencephalography; Equations; Mathematical model; Pediatrics; Spectral analysis; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/IECBES.2014.7047585
  • Filename
    7047585