Learning Difficulties Prediction Using Multichannel Brain Evoked Potential Data

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,...

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Bibliographic Details
Published in:2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) pp. 268 - 272
Main Authors: Stefanidis, V., Anogianakis, G., Evangelou, A., Poulos, M.
Format: Conference Proceeding
Language:English
Published: IEEE 01-08-2015
Subjects:
Animals
Computers
Electric potential
Electrodes
Electroencephalography
Indexes
Online Access:Get full text
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Summary: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.
DOI:10.1109/MCSI.2015.40