Table 1 Comparison of Proposed Model with the state-of-the-art existing works.

From: Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks

Dataset used(EEG)

Models

Accuracy (%)

Sensitivity (%)

Specificity (%)

F1-score (%)

PPV (%)

NPV (%)

22 EEG channels from 36 subjects24

LSTM

91.67

83.33

94.22

81.88

80.56

95.00

128 EEG channels from 22 subjects25

NB

94.60

98.30

93.30

N/A

N/A

N/A

19 EEG channels from 36 subjects26

KNN

96.60

97.00

96.80

96.90

96.80

97.00

28 EEG channels from 15 subjects27

CNN-LSTM

94.83

93.10

96.55

94.75

96.43

93.33

14 EEG channels from 48 subjects28

BLSTM

86.33

86.88

70.59

N/A

98.91

N/A

19 EEG channels from 36 subjects3

CNN-BILSTM

99.20

98.50

99.40

98.40

98.40

99.40

19 EEG channels from 36 subjects (Proposed)

CSNN

98.61

100.00

97.30

98.60

97.22

100.00

  1. N/A: Not Applicable or Not Available