Table 2.
Results achieved in the Kaggle dataset using LSTM and the multi-frame network.
| Subject | No.Seia | CNN | multi-frame | ||||
|---|---|---|---|---|---|---|---|
| (instance-based) | network | ||||||
| Acc | Sen | Spe | Acc | Sen | Spe | ||
| (%) | (%) | (%) | (%) | (%) | (%) | ||
| Dog_1 | 4 | 62.07 | 54.24 | 69.89 | 67.13 | 60.94 | 73.31 |
| Dog_2 | 7 | 55.46 | 48.08 | 62.84 | 73.40 | 74.11 | 72.70 |
| Dog_3 | 12 | 52.04 | 44.79 | 59.28 | 59.56 | 64.77 | 54.35 |
| Dog_4 | 17 | 51.84 | 44.78 | 59.25 | 60.86 | 58.64 | 63.19 |
| Dog_5 | 5 | 61.11 | 60.63 | 61.58 | 76.49 | 81.50 | 71.50 |
| Mean | 56.50 | 50.50 | 62.57 | 67.49 | 67.99 | 67.01 | |
aNumber of seizures.