DocumentCode :
3195688
Title :
Wavelet packet analysis of EEG signals from dyslexic children with writing disability
Author :
Fuad, N. ; Mansor, W. ; Lee, Khuan Y.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
2890
Lastpage :
2893
Abstract :
This paper describes Wavelet Packet Analysis of EEG signal of dyslexic children with writing disability. Two activities were carried out during EEG recordings; relax and and writing letters. EEG signals were collected using biosignal gMobilab system and analysed using Wavelet Packet Decomposition to extract alpha and beta brainwave rhythm. Statistical data such as log energy entropy and standard deviation were used to compare the characteristic of EEG signals from dyslexic and normal children. Result showed that the dyslexic children consumed higher energy at left parietal lobe during writing activity especially those who write incorrectly. The alpha band shows higher log energy entropy for dyslexic children compare to normal children at most channel during relax.
Keywords :
electroencephalography; entropy; medical disorders; medical signal processing; neurophysiology; paediatrics; statistical analysis; wavelet transforms; EEG recordings; EEG signals; alpha brainwave rhythm; beta brainwave rhythm; biosignal gMobilab system; dyslexic children; high log energy entropy; left parietal lobe; log energy entropy; standard deviation; statistical data; wavelet packet analysis; wavelet packet decomposition; writing activity; writing disability; Electroencephalography; Entropy; Standards; Wavelet analysis; Wavelet packets; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610144
Filename :
6610144
Link To Document :
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