• DocumentCode
    3320615
  • Title

    Wavelet Transform for the analysis of EEG signals in patients with oral communications problems

  • Author

    Viqueira, Maria ; Zapirain, Begona Garcia ; Mendez, Amaia

  • Author_Institution
    Deusto Inst. of Tecnology, Univ. of Deusto, Bilbao, Spain
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    This chapter presents a system for helping people who can´t talk or control their movements when communication by speech. The system is based on applying the wavelet transform to EEG signals. In this study it has been used the 64 channels to know in which ones of them exists higher difference between the P300b and the P300a, in order to chose the best four channels that will be used in the application. The results have achieved a 80% success using the bior3.7 the wavelet.
  • Keywords
    electroencephalography; medical disorders; medical signal processing; speech; wavelet transforms; EEG signals; oral communications problem; speech; wavelet transform; Argon; EEG; oral communication problems; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
  • Conference_Location
    Bilbao
  • Print_ISBN
    978-1-4673-0752-9
  • Electronic_ISBN
    978-1-4673-0751-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2011.6151549
  • Filename
    6151549