• DocumentCode
    3756456
  • Title

    Learning Difficulties Prediction Using Multichannel Brain Evoked Potential Data

  • Author

    V. Stefanidis;G. Anogianakis;A. Evangelou;M. Poulos

  • Author_Institution
    Lab. of Physiol., Univ. of Ioannina, Ioannina, Greece
  • fYear
    2015
  • Firstpage
    268
  • Lastpage
    272
  • Abstract
    The aim of this paper is to find Neurophysiological (or Electrophysiological) indexes in order to analyze Unfiltered Multichannel Brain Evoked Potential Data. We use this indexes in order to identify and to predict difficulties in educational procedures. More specifically we use Global Field Power, an index that reflects the spatial standard deviation of evoked potentials in brain map. Also we use classification methods in order to find a proper mathematical model in order to predict these difficulties.
  • Keywords
    "Indexes","Electric potential","Electroencephalography","Animals","Electrodes","Computers","Standards"
  • Publisher
    ieee
  • Conference_Titel
    Mathematics and Computers in Sciences and in Industry (MCSI), 2015 Second International Conference on
  • Type

    conf

  • DOI
    10.1109/MCSI.2015.40
  • Filename
    7423976
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3756456