Table 5 Determination of age range
From: Review of EEG-based pattern classification frameworks for dyslexia
Research | Age range (years) |
|---|---|
Different brain activation patterns in dyslexic children: evidence from EEG power and coherence patterns for the double-deficit theory of dyslexia [38] | 8–16 |
Wavelet entropy differentiations of event-related potentials in dyslexia [40] | 2–13 |
Detecting complexity abnormalities in dyslexia measuring approximate entropy of electroencephalographic signals [39] | 2–13 |
Comparison between characteristics of EEG signal generated from dyslexic and normal children [42] | 8–12 |
An SVM-based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs [45] | 24–40 |
Classification of dyslexic and normal children during resting condition using KDE and MLP [46] | 4–7 |
Wavelet packet analysis of EEG signals from children during writing [47] | 7–12 |