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Table 4 Determination of number of subjects

From: Review of EEG-based pattern classification frameworks for dyslexia

Research

Test group size

Control group size

Total

Different brain activation patterns in dyslexic children: Evidence from EEG power and coherence patterns for the double-deficit theory of dyslexia [38]

19

19

38

Wavelet entropy differentiations of event-related potentials in dyslexia [40]

38

19

57

Detecting complexity abnormalities in dyslexia measuring approximate entropy of electroencephalographic signals [39]

38

19

57

Comparison between characteristics of EEG signal generated from dyslexic and normal children [42]

3

3

6

An SVM-based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs [45]

20

30

50

Classification of dyslexic and normal children during resting condition using KDE and MLP [46]

3

3

6

Wavelet packet analysis of EEG signals from children during writing [47]

4

4

8

Mean sample size (rounded)

18

15

32