Learning Difficulties Prediction Using Multichannel Brain Evoked Potential Data
作者： V. Stefanidis , G. Anogianakis , A. Evangelou , M. Poulos
DOI: 10.1109/MCSI.2015.40
关键词: Machine learning 、 Brain mapping 、 Standard deviation 、 Artificial intelligence 、 Classification methods 、 Global field power 、 Evoked potential 、 Neurophysiology 、 Computer science
摘要: The aim of this paper is to find Neurophysiological (or Electrophysiological) indexes in order analyze Unfiltered Multichannel Brain Evoked Potential Data. We use identify and predict difficulties educational procedures. More specifically we Global Field Power, an index that reflects the spatial standard deviation evoked potentials brain map. Also classification methods a proper mathematical model these difficulties.
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