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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2016
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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 |
| _version_ |
1783735883987419136 |