Book chapter
A Review of Electroencephalogram-Based Analysis and Classification Frameworks for Dyslexia
Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV, Vol.9950, pp.626-635
Springer International Publishing
2016
Abstract
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.
Details
- Title
- A Review of Electroencephalogram-Based Analysis and Classification Frameworks for Dyslexia
- Authors/Creators
- H. Perera (Author/Creator) - Murdoch UniversityM.F. Shiratuddin (Author/Creator) - Murdoch UniversityK.W. Wong (Author/Creator) - Murdoch University
- Contributors
- A. Hirose (Editor)S. Ozawa (Editor)K. Doya (Editor)K. Ikeda (Editor)M. Lee (Editor)D. Liu (Editor)
- Publication Details
- Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part IV, Vol.9950, pp.626-635
- Publisher
- Springer International Publishing
- Identifiers
- 991005540716307891
- Copyright
- 2016 Springer International Publishing AG
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Book chapter
- Additional Information
- Series Title: Lecture Notes in Computer Science; Vol. No. 9948; ISSN: 0302-9743
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