Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof

The usage of statistic over the set of feature is one of possible method to identify differences in the brain electrophysiological processing for dyslexic children. Dyslexia is one of neurological disorder related to the brain causing learning deficiencies especially on reading although research has...

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Main Author: Mohd Yusof, Muhammad Firdaus
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/69469/1/69469.pdf
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spelling my-uitm-ir.694692023-03-27T07:54:12Z Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof 2016 Mohd Yusof, Muhammad Firdaus Children with disabilities Electricity and magnetism The usage of statistic over the set of feature is one of possible method to identify differences in the brain electrophysiological processing for dyslexic children. Dyslexia is one of neurological disorder related to the brain causing learning deficiencies especially on reading although research has proved that writing problem also contribute significant challenge into this issues. This study looks into the analysis of electroencephalogram (EEG) signals during writing and resting activities for poor dyslexic, capable dyslexic and normal children using Coiflet. C3, C4, FC5, FC6, P3, P4, T7 and T8 are the eight electrodes position known as the pathway for writing and reading. The result shows that there are significant differences in the minimum and maximum of the extracted features for dyslexic category using Coiflet. 2016 Thesis https://ir.uitm.edu.my/id/eprint/69469/ https://ir.uitm.edu.my/id/eprint/69469/1/69469.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mansor, Wahidah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mansor, Wahidah
topic Children with disabilities
Electricity and magnetism
spellingShingle Children with disabilities
Electricity and magnetism
Mohd Yusof, Muhammad Firdaus
Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
description The usage of statistic over the set of feature is one of possible method to identify differences in the brain electrophysiological processing for dyslexic children. Dyslexia is one of neurological disorder related to the brain causing learning deficiencies especially on reading although research has proved that writing problem also contribute significant challenge into this issues. This study looks into the analysis of electroencephalogram (EEG) signals during writing and resting activities for poor dyslexic, capable dyslexic and normal children using Coiflet. C3, C4, FC5, FC6, P3, P4, T7 and T8 are the eight electrodes position known as the pathway for writing and reading. The result shows that there are significant differences in the minimum and maximum of the extracted features for dyslexic category using Coiflet.
format Thesis
qualification_level Master's degree
author Mohd Yusof, Muhammad Firdaus
author_facet Mohd Yusof, Muhammad Firdaus
author_sort Mohd Yusof, Muhammad Firdaus
title Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
title_short Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
title_full Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
title_fullStr Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
title_full_unstemmed Analysis of electroencephalogram (EEG) signal from dyslexic children using Coiflet / Muhammad Firdaus Mohd Yusof
title_sort analysis of electroencephalogram (eeg) signal from dyslexic children using coiflet / muhammad firdaus mohd yusof
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/69469/1/69469.pdf
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