FEATURE EXTRACTION OF ELECTROENCEPHALOGRAM SIGNAL GENERATED FROM WRITING IN DYSLEXIC CHILDREN USING DAUBECHIES WAVELET TRANSFORM
DOI:
https://doi.org/10.11113/jt.v78.9071Keywords:
Electroencephalogram, dyslexia, discrete wavelet transform, writingAbstract
Dyslexia which causes learning deficiencies in reading and writing is due to a neurological disorder where the brain processes information differently. This paper describes the feature extraction of (EEG) signal using Daubechies wavelet transform. The EEG signals were recorded from capable and poor dyslexic children during writing activities of non-words. Brain learning pathway theories for reading and writing were used to localize electrode placement to 8 positions, namely C3, C4, P3, P4, T7, T8, FC5 and FC6. Daubechies provide the wavelet function shape that represent the type of features in an EEG signal well, detecting variations in frequencies that corresponds to activation of areas in relation to activities. Results showed that capable dyslexic subjects exhibit higher beta band power feature of the frontal (FC6) and parietal (P4) right hemisphere if compared to poor dyslexics, where the normal left hemisphere processing center was utilized. This indicates that the brain of dyslexic is compensating its deficiencies of the left brain with activation of areas to the right. Â
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