Wavelet Packet analysis of EEG signals from children during writing

EEG Signal has been used to identify the brain activity involved during writing for children with dyslexia. Conventionally, the MRI and PET were used to analyse the brain activity of children diagnosed with dyslexia. EEG signal has non-stationary and complex characteristic. Since Wavelet Packet Decomposition technique has orthogonality property that can prevent aliasing, it was used in this study to analyse the EEG signals from dyslexic and normal children. It was found that the left brain hemisphere is more active for dyslexic children during writing. Results showed that there is no difference in alpha band frequency spectrum during relax and writing activity for dyslexic children. However, alpha band for normal children has higher amplitude during relax than that during writing. During writing, the amplitude of beta sub-band of dyslexic children is higher than that of normal children.