• DocumentCode
    2394398
  • Title

    Evaluating variability of frequency features of EEG signals during mental fatigue

  • Author

    Azarnoosh, Mahdi ; Mohammadi, Mohammad Reza ; Nasrabadi, Ali Motie ; Firoozabadi, Seyyed Mohammad P

  • Author_Institution
    Biomed. Eng. Dept., Islamic Azad Univ., Mashhad, Iran
  • fYear
    2010
  • fDate
    3-4 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The brain regions involved in variation of mind activity from attention to mental fatigue are considered to reduce the number of recording EEG channels for detecting brain activities. In this study, subjects performed a visual attentive task for about 45 minutes without rest and during task, EEG signals, subjective levels of fatigue and performance measures were recorded. Frequency features of EEG signals extracted by using spectrogram and discrete wavelet were transformed to distinguish different levels of mental fatigue and they were used to determine effective channels that represent fatigue in subjects.
  • Keywords
    electroencephalography; medical signal processing; EEG signal; brain region; frequency feature variability; mental fatigue; Biomedical monitoring; Discrete wavelet transforms; Electroencephalography; Monitoring; EEG; effective channels; mental fatigue; spectrogram; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4244-7483-7
  • Type

    conf

  • DOI
    10.1109/ICBME.2010.5704977
  • Filename
    5704977