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. 2022 Nov 14;16:1059565. doi: 10.3389/fncom.2022.1059565

Table 4.

Results achieved in the CHB-MIT dataset using LSTM and the multi-frame network.

Subject No.Seia CNN multi-frame
(instance-based) network
Acc Sen Spe Acc Sen Spe
(%) (%) (%) (%) (%) (%)
chb01 7 89.90 86.82 92.99 96.24 95.34 97.14
chb02 3 84.22 73.09 95.34 88.13 78.26 97.99
chb03 6 74.70 61.04 88.36 85.81 79.29 92.33
chb04 3 76.00 81.39 70.61 78.73 89.13 68.32
chb05 5 60.80 55.90 65.69 77.77 72.53 83.00
chb07 3 87.98 83.43 92.53 94.34 91.00 97.68
chb08 5 69.29 78.45 57.87 77.89 82.04 72.70
chb09 4 59.94 54.47 65.41 65.84 51.01 80.67
chb10 6 55.99 47.80 64.18 64.54 61.90 67.19
chb13 5 85.58 81.94 89.22 95.24 94.91 95.57
chb14 5 53.24 46.18 60.31 56.89 60.59 53.18
chb16 6 50.19 41.64 58.74 57.36 54.89 59.84
chb17 3 89.21 86.04 92.39 93.35 89.00 97.70
chb18 6 83.19 84.34 82.05 89.90 89.56 90.25
chb19 3 73.10 57.52 88.69 77.44 61.98 92.89
chb20 5 78.78 68.51 89.04 97.82 97.47 98.17
chb21 4 57.83 43.45 72.21 67.43 58.13 76.74
chb23 5 87.68 92.50 83.20 92.63 97.69 87.94
Mean 73.20 68.03 78.27 80.96 78.04 83.85

aNumber of seizures.