From: Review of EEG-based pattern classification frameworks for dyslexia
Research | Number of channels | Channels |
---|---|---|
Different brain activation patterns in dyslexic children: evidence from EEG power and coherence patterns for the double-deficit theory of dyslexia [38] | 28 | Fp1, Fp2, F7, F3, Fz, F4, F8, FC3, Fizz, FC4, T3, C3, Cz, C4, T4, CP3, Caps, CP4, T5, P3, PHz, P4, T6, O1, Oz, O2 |
Wavelet entropy differentiations of event-related potentials in dyslexia [40] | 15 | Fp1, F3, C5, C3, Fp2, F4, C6, C4, O1, O2, P4, P3, PHz, Cz, Fz. |
Detecting complexity abnormalities in dyslexia measuring approximate entropy of electroencephalographic signals [39] | 15 | Fp1, F3, C5, C3, Fp2, F4, C6, C4, O1, O2, P4, P3, PHz, Cz, Fz. |
Comparison between characteristics of EEG signal generated from dyslexic and normal children [42] | 4 | C3, C4, P3, P4 |
An SVM-based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs [45] | 64 | F3, F4, P6, PHz, F8, CP4, AF7, F3, F5, T7, PO3, FC6, TP7, P7 (not all are given) |
Classification of dyslexic and normal children during resting condition using KDE and MLP [46] | 8 | F3, F4, C2, C3, C4, P3, P4, T3, T4 |
Wavelet packet analysis of EEG signals from children during writing [47] | 4 | C3, C4, P3, P4 |
Popular EEG channels for identifying unique brainwave patterns for dyslexia | Fp1, F3, Fz, F4, F7, F8, T3, C3, Cz, C4, T4, PHz, AF3, TP7, P7 |