• DocumentCode
    134542
  • Title

    Power spectrum density brainwave sub-band characteristics in ischemic stroke

  • Author

    Roomali, Nurul Nadia ; Jailani, R. ; Omar, W.R.W. ; Isa, R. S. Mohd ; Taib, M.N.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2014
  • fDate
    7-9 March 2014
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    This paper characterizes three different groups of stroke level and controlled group consists of healthy subject based on power spectrum density (PSD). In this study, the EEG data sets have been collected from hundred and thirty two subjects during closed eye (CE) session with a time frame approximately 8 minutes for each subject. They are divided into 4 groups which are Early Group (EG), Intermediate Group (IG), Advance Group (AG) and Controlled Group (CG). The results show that PSD technique can be used to distinguish between the stroke subject and healthy subject.
  • Keywords
    electroencephalography; medical signal processing; AG; CE session; CG; EEG data set; EG; IG; PSD technique; advance group; closed eye session; controlled group; early group; healthy subject; intermediate group; ischemic stroke; power spectrum density brainwave subband characteristics; Brain; Data collection; Electrical engineering; Electrodes; Electroencephalography; Feature extraction; Signal processing; Electroencephalograph (EEG); boxplot analysis; power spectrum density; stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-3090-6
  • Type

    conf

  • DOI
    10.1109/CSPA.2014.6805757
  • Filename
    6805757