Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad

This paper describes Wavelet Packet Decomposition of EEG signal of dyslexic children with writing disability. Two activities were carried out by the children during EEG recordings: relax and writing activities as well as letter recognization. EEG signal were collected using biosignal gMobilab system...

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Main Author: Fuad, Norazah
Format: Article
Language:English
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Online Access:https://ir.uitm.edu.my/id/eprint/107839/1/107839.pdf
https://ir.uitm.edu.my/id/eprint/107839/
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spelling my.uitm.ir.1078392024-12-18T08:57:26Z https://ir.uitm.edu.my/id/eprint/107839/ Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad Fuad, Norazah Dyslexic children and youth Examination. Diagnosis. Including radiography This paper describes Wavelet Packet Decomposition of EEG signal of dyslexic children with writing disability. Two activities were carried out by the children during EEG recordings: relax and writing activities as well as letter recognization. EEG signal were collected using biosignal gMobilab system and MATLAB SIMULINK program. EEG collected data were then analysed using Wavelet Packet Decomposition to extract the brain wave rythm especially Alpha and Beta rythm. Statistical data such as log energy entropy and standard deviation also tabulated during the analysis process. Result shows that the dyslexic children consumed higher energy at left parietal lobe during writing activity especially who response incorrectly. Also, the alpha band shows higher log energy entropy for dyslexic children compare to normal children at most channel during relax condition. Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/107839/1/107839.pdf Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad. pp. 1-9.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Dyslexic children and youth
Examination. Diagnosis. Including radiography
spellingShingle Dyslexic children and youth
Examination. Diagnosis. Including radiography
Fuad, Norazah
Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
description This paper describes Wavelet Packet Decomposition of EEG signal of dyslexic children with writing disability. Two activities were carried out by the children during EEG recordings: relax and writing activities as well as letter recognization. EEG signal were collected using biosignal gMobilab system and MATLAB SIMULINK program. EEG collected data were then analysed using Wavelet Packet Decomposition to extract the brain wave rythm especially Alpha and Beta rythm. Statistical data such as log energy entropy and standard deviation also tabulated during the analysis process. Result shows that the dyslexic children consumed higher energy at left parietal lobe during writing activity especially who response incorrectly. Also, the alpha band shows higher log energy entropy for dyslexic children compare to normal children at most channel during relax condition.
format Article
author Fuad, Norazah
author_facet Fuad, Norazah
author_sort Fuad, Norazah
title Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
title_short Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
title_full Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
title_fullStr Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
title_full_unstemmed Analysis of EEG signals of dyslexic children using wavelet packet decomposition: article / Norazah Fuad
title_sort analysis of eeg signals of dyslexic children using wavelet packet decomposition: article / norazah fuad
url https://ir.uitm.edu.my/id/eprint/107839/1/107839.pdf
https://ir.uitm.edu.my/id/eprint/107839/
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score 13.223943