• DocumentCode
    672067
  • Title

    The P300 event-related potential detection - A morphological approach

  • Author

    Lazar, Anca Mihaela ; Ursulean, Radu

  • Author_Institution
    Fac. of Med. Bioeng., Grigore T. Popa Univ. of Med. & Pharmacy, Iaşi, Romania
  • fYear
    2013
  • fDate
    21-23 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The aim is to investigate the possibility of detecting the P300 event-related potential derived from its shape. We intend to show the way in which the well known variability of the P300 may be surpassed by adequate morphological operations, centred on suited structuring elements and on a new parameter, named emphasising parameter. This method can lead to better P300-based brain computer interfaces (BCIs) by enhancing this attribute of the electroencephalographic (EEG) signal.
  • Keywords
    bioelectric potentials; brain-computer interfaces; electroencephalography; medical signal processing; neurophysiology; EEG signal; P300 event-related potential detection; P300-based brain computer interfaces; electroencephalographic signal; morphological operations; structuring elements; Electrodes; Electroencephalography; Lead; P300 event-related potential; brain-computer interface; emphasising parameter; mathematical morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2013
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4799-2372-4
  • Type

    conf

  • DOI
    10.1109/EHB.2013.6707413
  • Filename
    6707413
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=672067