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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