利用多通道脑诱发电位数据预测学习困难

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2015-08-17 DOI:10.1109/MCSI.2015.40

V. Stefanidis, G. Anogianakis, A. Evangelou, M. Poulos

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引用次数: 6

摘要

本文的目的是寻找神经生理学(或电生理学)指标，以分析未经过滤的多通道脑诱发电位数据。我们使用这些指标来识别和预测教育过程中的困难。更具体地说，我们使用全球场功率，这是一个反映脑图中诱发电位空间标准偏差的指标。并利用分类方法寻找合适的数学模型来预测这些困难。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

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