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Table 7 Comprehensive comparative model parameter analysis

From: Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures

Model

Acc (%)

Sen (%)

Spe (%)

PCA+LDA [22]

94.7

94.8

89.1

Fractal intercept and relative fluctuation indices [23]

94.9

91.7

94.9

Kernel collaborative representation [24]

96.8

97.5

96.8

LDA [25]

91.8

100.0

83.6

Seven-layer CNN [26]

97

98.5

98.5

DLWH [26]

95.1

94.3

95.4

MB-dMGC-CWTFFNet [27]

98.4

100.0

-

Wavelet packet transform and weighted extreme learning machine [28]

96.9

95.8

92.2

CBAM-3DCNN-BiLSTM [29]

98.0

98.4

SOC-CNN [30]

96.8

82.4

100.0

LTY-CNN

99.5

99.5

96.0

  1. The symbol ‘–’ represents undisclosed model performance metrics data for which no related information has been released at present