DocumentCode :
3565487
Title :
Spectral analysis based brain imaging of normal, poor dyslexic, and capable dyslexic children in reading, writing and spelling task
Author :
Mohamad, N.B. ; Lee, Khuan Y. ; Mansor, W. ; Mahmoodin, Z. ; Che Wan Fadzal, C.W.N.F. ; Mohamad, S. ; Amirin, S.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2014
Firstpage :
653
Lastpage :
656
Abstract :
Dyslexic is a medical term referred to people suffering from dyslexia. Dyslexia is viewed as a neurological defect that causes the subject´s electrophysiological signal of the brain to process information differently from that of normal children. In this paper, we introduce a two-dimension (2D) neural distribution method of analyzing normal and dyslexic children in reading, writing and spelling. The objectives of our experimental study are to extract the unique features, based on comparison between normal, poor dyslexic and capable dyslexic in frequency domain using Spectral Analysis and to study the potential brain area activation using electroencephalogram (EEG) brain imaging method. The 2D result shows that neural activities of normal subject are clearly highlighted on the left hemisphere. In addition, it is found that neural activities of capable dyslexic is higher on the right hemisphere than the left hemisphere, while contrasting result is found with poor dyslexic.
Keywords :
bioelectric potentials; diseases; electroencephalography; feature extraction; medical image processing; neurophysiology; paediatrics; spectral analysis; speech; 2D neural distribution method; EEG brain imaging method; dyslexic children; electroencephalography; electrophysiological signal; feature extraction; neurological defect; reading task; spectral analysis based brain imaging; spelling task; writing task; Conferences; Electroencephalography; Equations; Mathematical model; Pediatrics; Spectral analysis; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
Type :
conf
DOI :
10.1109/IECBES.2014.7047585
Filename :
7047585
Link To Document :
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