• DocumentCode
    536380
  • Title

    Application of S-transform to driving fatigue in EEG analysis

  • Author

    Ai, Lingmei ; Nan, Jiaofen ; Shen, Jun

  • Author_Institution
    Sch. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    814
  • Lastpage
    817
  • Abstract
    Based on the fact that S-transform enjoys many obvious advantages in non-stationary signal processing, the application of S-transform was presented in EEG analysis to explore the characters of drivers´ EEG signals in this paper. Firstly, the result of all drivers´ scores from FS-14 was analyzed. Then the EEG was divided into four different driving states according to the above analysis result, which were processed by using S-transform. The study shows that the different states can be distinguished well by the time-frequency spectrums. Thus, S-transform is expected to become an effective way in detecting driving fatigue.
  • Keywords
    electroencephalography; medical signal processing; transforms; EEG analysis; driving fatigue detection; electroencephalography; s-transform; time-frequency spectrum; Educational institutions; Electrocardiography; EEG; S-transform; driving fatigue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658800
  • Filename
    5658800