From: Spectral information of EEG signals with respect to epilepsy classification
Authors | Feature extraction | Classification | Validation | Classification accuracy |
---|---|---|---|---|
Tzallas et al. [17] (2009) | TFD (SPWVD)/fractional energy | ANN | Monte Carlo cross-validation (50% split – 10 repeats) | 97.72% |
Acharya et al. [26] (2009) | 10 parameters from Recurrence Quantification Analysis | SVM | 3-fold cross-validation | 95.60% |
Orhan et al. [27] (2011) | DWT and K-means clustering | MLP | 50% train, 50% validation and test | 95.60% |
Acharya et al. [28] (2012) | ApEn, SampEn, Phase Entropy 1 and 2 | Fuzzy Sugeno Classifier | Threefold cross-validation | 98.10% |
Peker et al. [29] (2016) | Dual tree complex wavelet transform | Complex valued neural networks | 10-fold cross-validation | 98.28% |
Tiwari et al. [30] (2016) | Key-point-based local binary patterns | SVM | 10-fold cross-validation | 98.80% |
Bhattacharyya et al. [31] (2017) | Tunable-Q WT and K-NN entropies | SVM | 10-fold cross-validation | 98.60% |
This study | Frequency sub-bands/energy, total energy, fractional energy, entropy | Random forests | 10-fold cross-validation | 98.80% |