Research Article
Epileptic Seizure Detection with Hybrid Time-Frequency EEG Input: A Deep Learning Approach
Table 5
Performance of normal vs. nonseizure case (AB vs. CD) with 10-fold cross-validation.
| | Methods | K1 | K2 | K3 | K4 | K5 | K6 | K7 | K8 | K9 | K10 | Mean | Variance |
| | EEG | 0.9806 | 0.9667 | 0.9667 | 0.9722 | 0.9667 | 0.9806 | 0.9861 | 0.9556 | 0.9861 | 0.9417 | 0.9703 | 0.0141 | | DWT | 0.9694 | 0.9750 | 0.9639 | 0.9722 | 0.9528 | 0.9806 | 0.9833 | 0.9167 | 0.9306 | 0.9472 | 0.9592 | 0.0221 | | FFT | 0.8556 | 0.8556 | 0.8444 | 0.8361 | 0.7222 | 0.8167 | 0.8583 | 0.8694 | 0.8444 | 0.6 | 0.8103 | 0.0849 | | STFT | 0.9917 | 0.9778 | 0.9861 | 0.9611 | 0.9417 | 0.9833 | 0.9917 | 0.9750 | 0.95 | 0.9417 | 0.97 | 0.0198 | | Hybrid | 0.9917 | 0.9778 | 0.9833 | 0.9778 | 0.9722 | 0.9889 | 0.9889 | 0.9556 | 0.9833 | 0.9694 | 0.9789 | 0.011 |
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