Table 4 Comparison of the accuracy for challenging-to-distinguish subjects with prior works which have conducted subject-specific experiments on the CHB-MIT dataset.
From: Synchronization-based graph spatio-temporal attention network for seizure prediction
Study | Chb2 | Chb5 | Chb6 | Chb9 | Chb10 | Chb14 | Chb16 | Chb18 | Chb21 |
|---|---|---|---|---|---|---|---|---|---|
Yuan Zhang17 | 92 | 89 | 86 | 90 | 96 | 84 | 86 | – | 80 |
Qizhong Zhang32 | 82.5 | 77.5 | 87.5 | 90 | 77.5 | – | – | – | – |
Xinwu Yang35 | 89.7 | 92.9 | - | 91 | 77.7 | 73.7 | – | 96 | 88.3 |
IMENE JEMAL52 | 95.7 | 85.2 | 86.2 | 88.2 | 90.9 | 75.2 | 86.2 | - | 89.3 |
Hong Ji36 | 94.15 | 90.88 | - | - | 78.11 | 77.11 | - | 90.4 | 89.03 |
Ding, Xin53 | 81.94 | 82.25 | 81.38 | 91.29 | 77.7 | 83.01 | 76.49 | 90.26 | 91.6 |
SGSTAN | 97.63 | 96.93 | 95.8 | 97.69 | 98.99 | 98.85 | 98.44 | 98.09 | 95.93 |
