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Table 4 Comparison of performance of our proposed method with two recently reported methods for sets A and E of the EEG epileptic database

From: Classification of epileptic EEG signals based on simple random sampling and sequential feature selection

Different methods

Accuracy (%)

Sensitivity (%)

Specificity (%)

The proposed method with the best criterion (SRS_SFS_LS_SVM)

99.90

99.80

100

A Huang–Hilbert transform and an artificial neural network model [22]

99.80

99.75

100

A sampling technique and LS_SVM method [21]

80.05

74.97

87.70