Table 1.
Results achieved in the Kaggle dataset using the convolutional neural network (CNN) and the multi-frame network.
| Subject | No.Seia | CNN | multi-frame | ||||
|---|---|---|---|---|---|---|---|
| (instance-based) | network | ||||||
| Acc | Sen | Spe | Acc | Sen | Spe | ||
| (%) | (%) | (%) | (%) | (%) | (%) | ||
| Dog_1 | 4 | 63.05 | 60.18 | 65.91 | 67.13 | 60.94 | 73.31 |
| Dog_2 | 7 | 73.34 | 75.87 | 70.82 | 73.40 | 74.11 | 72.70 |
| Dog_3 | 12 | 59.29 | 70.83 | 47.77 | 59.56 | 64.77 | 54.35 |
| Dog_4 | 17 | 59.58 | 56.98 | 62.31 | 60.86 | 58.64 | 63.19 |
| Dog_5 | 5 | 75.10 | 76.01 | 74.19 | 76.49 | 81.50 | 71.50 |
| Mean | 66.07 | 67.98 | 64.20 | 67.49 | 67.99 | 67.01 | |
aNumber of seizures.