A Review of Electroencephalogram-Based Analysis and Classification Frameworks for Dyslexia

  • Harshani PereraEmail author
  • Mohd Fairuz Shiratuddin
  • Kok Wai Wong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)


Dyslexia is a hidden learning disability that causes difficulties in reading and writing despite average intelligence. Electroencephalogram (EEG) is one of the upcoming methods being researched for identifying unique brain activation patterns in dyslexics. This paper examines pros and cons of existing EEG-based analysis and classification frameworks for dyslexia and recommends optimizations through the findings to assist future research.


Dyslexia Electroencephalogram Feature extraction Artifact removal Artifact subspace reconstruction Support vector machine Classification 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Harshani Perera
    • 1
    Email author
  • Mohd Fairuz Shiratuddin
    • 1
  • Kok Wai Wong
    • 1
  1. 1.School of Engineering and Information TechnologyMurdoch UniversityMurdochAustralia

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