EEG signal analysis of passage reading and rapid automatized naming between adults with dyslexia and normal controls

H. Perera; M.F. Shiratuddin; K.W. Wong; K. Fullarton

doi:10.1109/ICSESS.2017.8342874

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Conference paper

EEG signal analysis of passage reading and rapid automatized naming between adults with dyslexia and normal controls

H. Perera, M.F. Shiratuddin, K.W. Wong and K. Fullarton

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)

8th IEEE International Conference on Software Engineering and Service Science (ICSESS) 2017 (Beijing, China, 24/11/2017–26/11/2017)

2017

DOI: https://doi.org/10.1109/ICSESS.2017.8342874

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Abstract

Technology plays a major role in discovering and improving accuracies of disorders and difficulties through identification of patterns. This paper attempts to discover such unique brainwave signal patterns found in adults with dyslexia using EEG while performing tasks that are more challenging for individuals with dyslexia. The EEG signals are collected from adults with dyslexia and normal controls during passage reading and rapid automatized naming. EEG signals provide valuable insights into the behaviour of the brain; however, identifying these patterns is not always quite straightforward due to its complexity. We identify these unique patterns and optimal brain regions for classification using machine learning. This study revealed that the greater level of difficulties seen in individuals with dyslexia while performing these tasks compared to normal controls are reflected in the brainwave signal patterns.

Details

Title: EEG signal analysis of passage reading and rapid automatized naming between adults with dyslexia and normal controls
Authors/Creators: H. Perera (Author/Creator) - Murdoch University
M.F. Shiratuddin (Author/Creator) - Murdoch University
K.W. Wong (Author/Creator) - Murdoch University
K. Fullarton (Author/Creator) - DSF Literacy and Clinical Services (The Dyslexia-SPELD Foundation), South Perth, Western Australia, Australia
Publication Details: 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)
Conference: 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) 2017 (Beijing, China, 24/11/2017–26/11/2017)
Identifiers: 991005544046407891
Murdoch Affiliation: School of Engineering and Information Technology
Language: English
Resource Type: Conference paper

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