Title: Learning difficulties prediction

Authors: Vasileios Stefanidis; George Anogianakis; Angelos Evangelou; Marios Poulos

Addresses: Laboratory of Physiology, Medical School, University of Ioannina, Ioannina, Greece ' Laboratory of Physiology, Medical School, Aristotle University, Thessaloniki, Greece ' Laboratory of Physiology, Medical School, University of Ioannina, Ioannina, Greece ' Laboratory of Information Technologies, Faculty of Information Science and Informatics, Ionian University, Corfu, Greece

Abstract: In this paper we investigate the possibility to predict brain difficulties during a brain procedure. More specifically, during an educational procedure we investigate Neurophysiological (or Electrophysiological) indexes in order to analyse Electroencephalography (EEG) signals and finally identify and predict difficulties in this educational procedure. More specifically we use Global Field Power, an index which reflects the spatial standard deviation of evoked potentials in brain map. Finally we use classification methods to find a proper mathematical model in order to predict these difficulties.

Keywords: electroencephalograms; EEG signals; signal analysis; learning difficulties prediction; neurophysiological indexes; brain difficulties; brain procedures; electrophysiological indexes; mathematical modelling; evoked potentials; educational activities; data mining.

DOI: 10.1504/IJBET.2016.077182

International Journal of Biomedical Engineering and Technology, 2016 Vol.21 No.2, pp.176 - 189

Received: 25 Mar 2015
Accepted: 02 Nov 2015

Published online: 22 Jun 2016 *

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