Comparison between characteristics of EEG signal generated from dyslexic and normal children

Author

Che Wan Fadzal, C.W.N.F. ; Mansor, W. ; Lee, Khuan Y. ; Mohamad, Sarah ; Mohamad, Nurain ; Amirin, S.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia

fYear

2012

fDate

17-19 Dec. 2012

Firstpage

943

Lastpage

946

Abstract

Electroencephalogram (EEG) is one of the methods to detect dyslexia in children. Dyslexia has to be detected at an early stage to help the children to excel in their study and later be successful in life. In this study, the EEG signals generated from dyslexic and normal children during relax and writing words were processed, analysed and compared. Four electrodes; C3, C4, P3 and P4 were used in the recording of the EEG signals. The recorded EEG signals were filtered using a band pass filter with frequency range of 8 - 30 Hz. The signal was then analyzed using Fast Fourier Transform. Analysis of EEG signals showed that the range of frequency of EEG signals during writing for dyslexic was greater than that of normal children for each electrode placement at beta sub band frequency. The range of frequency of EEG signals for dyslexics is 22-28 Hz whereas for normal children is 14-22 Hz.

Keywords

band-pass filters; biomedical electrodes; electroencephalography; fast Fourier transforms; medical disorders; medical signal detection; medical signal processing; paediatrics; C3 electrodes; C4 electrodes; EEG signal generation; EEG signal processing; P3 electrodes; P4 electrodes; band pass filter; beta sub band frequency; dyslexic children detection; electrode placement; electroencephalogram; fast Fourier transform analysis; frequency 8 Hz to 30 Hz; normal children; relax mode; writing words; Electroencephalogram; Fast Fourier Transform; dyslexia; writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on

Conference_Location

Langkawi

Print_ISBN

978-1-4673-1664-4

Type

conf

DOI

10.1109/IECBES.2012.6498210

Filename

6498210