Table 2 Cross-subject experimental results based on the CHB-MIT dataset, using a leave-one-out strategy.

From: PSD-LW-DCN: a generalizable power spectral density based lightweight deep convolutional neural network for seizure detection

ID

Acc (%)

Sen (%)

Spe (%)

AUC

F1

False alarms per hour

chb01

96.42

93.47

99.34

0.99

0.96

0.03

chb02

99.14

100.00

98.28

0.99

0.99

0.08

chb03

87.56

79.35

95.62

0.97

0.86

0.22

chb04

90.22

81.11

99.33

0.98

0.89

0.01

chb05

91.57

99.04

83.98

0.98

0.92

1.64

chb06

68.19

84.53

51.99

0.80

0.72

0.20

chb07

93.01

93.49

92.51

0.96

0.93

0.18

chb08

87.25

80.19

94.38

0.94

0.86

0.96

chb09

88.96

99.21

78.52

0.98

0.90

0.44

chb10

89.13

90.89

87.36

0.96

0.89

0.36

chb11

89.54

81.33

97.73

0.97

0.88

0.55

chb12

84.14

76.05

92.20

0.93

0.82

0.51

chb13

80.52

70.09

91.08

0.89

0.78

0.52

chb14

61.50

39.56

83.33

0.64

0.50

0.32

chb15

90.12

86.83

93.40

0.95

0.89

0.80

chb16

81.11

68.42

93.55

0.93

0.78

0.05

chb17

83.93

69.41

98.63

0.97

0.80

0.12

chb18

85.86

75.00

96.71

0.95

0.84

0.15

chb19

87.63

79.26

96.11

0.96

0.86

0.27

chb20

81.42

64.05

99.08

0.96

0.77

0.03

chb21

71.17

43.15

99.25

0.90

0.59

0.03

chb22

96.40

95.68

97.12

0.99

0.96

0.17

chb23

84.98

73.41

96.52

0.94

0.83

0.11

chb24

90.53

86.14

94.92

0.96

0.90

0.18

Mean±Std

85.84±10.13

79.57±15.64

92.12±14.78

0.94±0.09

0.84±0.11

0.33±0.37