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Table 10 Results of assessment indicators on the CHB-MIT dataset

From: A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection

Case

Accuracy

Sensitivity

Specificity

Precision

F1-score

CHB01

99.30

99.21

99.52

99.57

99.37

CHB02

97.78

97.14

100.00

100.00

98.33

CHB03

99.23

98.70

99.55

99.44

99.04

CHB04

98.91

98.99

98.89

99.00

98.97

CHB05

99.82

99.70

100.00

100.00

99.85

CHB06

98.67

98.33

98.57

98.89

98.50

CHB07

99.06

98.22

100.00

100.00

99.08

CHB08

99.01

99.14

98.82

98.97

99.05

CHB09

99.26

98.56

100.00

100.00

99.26

CHB10

99.09

98.50

99.62

99.44

98.96

CHB11

99.38

99.32

99.49

99.48

99.39

CHB12

98.84

97.99

99.73

99.72

98.84

CHB13

97.91

97.35

98.72

98.51

97.87

CHB14

98.09

96.73

98.75

98.89

97.68

CHB15

98.13

97.69

98.56

98.61

98.14

CHB16

93.33

91.67

96.67

97.50

93.71

CHB17

98.28

98.19

98.92

98.26

98.16

CHB18

98.39

97.86

98.81

98.58

98.19

CHB19

97.83

95.46

100.00

100.00

97.54

CHB20

99.15

98.56

100.00

100.00

99.26

CHB21

97.37

97.41

98.46

97.50

97.21

CHB22

97.50

96.07

99.33

98.33

97.02

CHB23

99.52

99.44

99.50

99.57

99.49

Average

98.43

97.84

99.21

99.14

98.39