• DocumentCode
    642845
  • Title

    Structural features in brain signals and weak brain connectivity

  • Author

    Jovanovic, Aleksandra ; Perovic, Aleksandar

  • Author_Institution
    Group for Intell. Syst., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    239
  • Lastpage
    243
  • Abstract
    We are involved in the investigation and development of methods for automatic localization, extraction, analysis and comparison of features in spectra of biological signals. With diverse applications, different feature attributes turn out as significant and as characteristics of the investigated phenomena. Individual tunes and music representation in brain signals have attracted our attention since early nineties, including the possibility to use inner tunes in the brain for the Brain Computer Interfaces (BCI). These were some of the motives for the present study, but applicability of the developed algorithms is broader.
  • Keywords
    brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; EEG; algorithms; automatic localization; biological signals; brain computer interfaces; brain signals; electroencephalography; feature analysis; feature comparison; feature extraction; music representation; structural features; weak brain connectivity; Brain-computer interfaces; Feature extraction; Indexes; Noise; Spectral analysis; Spectrogram; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4799-0303-0
  • Type

    conf

  • DOI
    10.1109/SISY.2013.6662578
  • Filename
    6662578