Analysis of EOG Signals Related to ADHD and Healthy Children Using Wavelet Transform

Previous research has shown that eye movements are affected by attention and can be used for the examination of attention-related disorders. In the present study, the eye movements of ADHD individuals and healthy individuals were analyzed. For this purpose, EOG signals of 30 healthy children and 30 children with ADHD were decomposed using wavelet transform (WT) while performing an attention-related task. Then the approximation and detail wavelet coefficients features such as energy and standard deviation were calculated, and the differences between the two groups were detected using statistical tests. The results showed that the energy and standard deviation of the EOG signals’ detail coefficients in ADHD children were significantly lower (p<0.001). Therefore, possibly the high-frequency band activity of EOG signals was higher in healthy children in comparison with ADHD children. The results of this study are likely to be practical in designing an EOG biofeedback protocol for treating or reducing the symptoms of ADHD disorder.