Table 1.
Intra-subject comparison of Kappa associated with NoPert and Pert, and the relative Z-score.
a. Unsupervised feature extraction | b. Supervised feature extraction | ||||||
---|---|---|---|---|---|---|---|
Sbj | K(NoPert) | K(Pert) | Z-score | Sbj | K(NoPert) | K(Pert) | Z-score |
S1 | 0.95 | 0.81 | 1.47 | S1 | 0.97 | 0.85 | 1.23 |
S2 | 0.85 | 0.75 | 1.24 | S2 | 0.79 | 0.67 | 1.47 |
S3 | 0.59 | 0.58 | 0.02 | S3 | 0.58 | 0.48 | 1.16 |
S4 | 0.79 | 0.64 | 1.75 | S4 | 0.63 | 0.67 | 0.42 |
S5 | 0.68 | 0.75 | 0.90 | S5 | 0.76 | 0.76 | 0.02 |
Two conditions are significantly different (α = 0.05) if Z-score is >1.96. The table shows the results of the Unsupervised and Supervised feature extraction-based decoders. To note that chance level is K = 0.