• DocumentCode
    1956522
  • Title

    Platform for EEG signal processing for motor imagery - application Brain Computer Interface

  • Author

    Saker, Marie ; Rihana, Sandy

  • Author_Institution
    Biomed. Eng. Dept., Holy Spirit Univ. of Kaslik (USEK), Jounieh, Lebanon
  • fYear
    2013
  • fDate
    11-13 Sept. 2013
  • Firstpage
    30
  • Lastpage
    33
  • Abstract
    Over 2 million people are affected by neural diseases such as multiple Sclerosis, Amyotrophic Lateral Sclerosis, spinal cord injury, cerebral palsy, and other diseases impairing the neural pathways that control muscles. Indeed, these diseases cause severe paralysis and the persons suffer from what is called “Locked in syndrom”. Consequently, a Brain Computer Interface noted BCI can be used as an alternative communication channel. This project belongs to a Brain Computer Interface research. More precisely, it focuses on the development of noninvasive platform of electroencephalographic (EEG) signals in terms of acquisition, pre-processing, feature extraction for providing an alternative communication or control channel for patient with severe motor disabilities.
  • Keywords
    brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; BCI; EEG signal processing; brain computer interface; electroencephalographic signals; feature extraction; locked in syndrome; motor imagery; severe motor disability; Band-pass filters; Brain-computer interfaces; Correlation; Discrete wavelet transforms; Electrodes; Electroencephalography; Feature extraction; Brain computer interface; EEG; motor imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Biomedical Engineering (ICABME), 2013 2nd International Conference on
  • Conference_Location
    Tripoli
  • Print_ISBN
    978-1-4799-0249-1
  • Type

    conf

  • DOI
    10.1109/ICABME.2013.6648839
  • Filename
    6648839