Learning difficulties prediction. (2016)

• Record Type: Journal Article
• Authors: Stefanidis, Vasileios; Anogianakis, George; Evangelou, Angelos; Poulos, Marios
• Is Part Of: International journal of biomedical engineering and technology. Volume 21:Number 2(2016)
• Page Start: 176
• Page End: 189
• Publication Date: 2016
• Subjects: electroencephalograms -- EEG signals -- signal analysis -- learning difficulties prediction -- neurophysiological indexes -- brain difficulties -- brain procedures -- electrophysiological indexes -- mathematical modelling -- evoked potentials -- educational activities -- data mining; Biomedical engineering -- Periodicals; 610.28
• Languages: English
• ISSNs: 1752-6418

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.