Learning Difficulties Prediction Using Multichannel Brain Evoked Potential Data

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.