Table 2 Performance metrics of CHB-MIT dataset on 1D-ResCNN model.

From: A hybrid optimization-enhanced 1D-ResCNN framework for epileptic spike detection in scalp EEG signals

Patient ID

Accuracy (%)

Sensitivity (%)

Specificity (%)

FPR

F1-score (%)

chb01

99.75

99.2

99.55

0.0043

99.72

chb02

99.5

99.6

99.3

0.006

99.55

chb03

99.8

99.6

99.85

0.0012

99.8

chb05

99.4

99.2

99.5

0.0055

99.4

chb06

99.85

99.7

99.65

0.004

99.83

chb07

99.85

99.6

99.8

0.002

99.85

chb08

99.8

99.85

99.65

0.0045

99.78

chb09

99.7

99.5

99.54

0.008

99.65

chb10

99.7

99.8

99.5

0.0035

99.75

chb11

100

100

100

0.0

100

chb12

99.85

99.9

99.7

0.0025

99.85

chb13

99.3

99.2

99.25

0.0065

99.28

Avg

99.71

99.60

99.61

0.0040

99.71