Table 3 Mean and standard deviations of classification accuracies for two deep-learning models with respect to the different window lengths for each CV method.
60 s (original) | 20 s | 15 s | 10 s | 5 s | ||
|---|---|---|---|---|---|---|
CNN-13 | sCV | 62.06 ± 2.86 | 64.77 ± 3.23 | 67.54 ± 3.34 | 67.96 ± 2.82 | 74.24 ± 3.94 |
osCV | 65.36 ± 3.80 | 75.70 ± 4.50 | 77.16 ± 2.93 | 80.33 ± 2.66 | 81.54 ± 2.25 | |
tCV | 65.12 ± 3.50 | 71.98 ± 2.56 | 73.17 ± 2.59 | 74.19 ± 3.27 | 79.60 ± 1.83 | |
otCV | 61.26 ± 4.54 | 80.36 ± 1.11 | 82.28 ± 1.02 | 83.61 ± 1.04 | 85.61 ± 0.65 | |
EEGNet | sCV | 74.79 ± 3.60 | 79.81 ± 2.33 | 79.57 ± 2.25 | 79.85 ± 1.41 | 78.72 ± 2.05 |
osCV | 75.83 ± 3.48 | 79.32 ± 2.89 | 80.13 ± 2.16 | 78.06 ± 3.79 | 79.86 ± 2.80 | |
tCV | 74.30 ± 3.27 | 93.53 ± 0.85 | 96.38 ± 0.83 | 97.79 ± 0.46 | 98.12 ± 0.42 | |
otCV | 76.41 ± 2.92 | 99.89 ± 0.09 | 99.92 ± 0.05 | 99.90 ± 0.03 | 99.77 ± 0.08 |