Table 6.

Other techniques for detection of epileptic EEG signals.

Authors and year	Feature extraction	Classification	Accuracy
Nigam and Graupe, 2004	Non-linear filter	Diagnostic neural networks	97.2
Kannathal et al., 2005a	Non-linear analysis	Surrogate data analysis	90.0
Kannathal et al., 2005b	Entropy	Adaptive neuro-fuzzy inference system	92.2
Guler and Ubeyli, 2005	Lyapunov exponents	Recurrent neural networks	96.8
Ubeyli, 2006	Lyapunov exponents	Artificial neural networks	95.0
Sadati et al., 2006	Wavelet transform	Adaptive neuro-fuzzy network	85.9
Subasi, 2007b	Wavelet transform	Expert models	95.0
Tzallas et al., 2007	Time-frequency domain analysis	Artificial neural networks	99.3
Chua et al., 2008	Power spectral density	Gaussian mixture model	93.1
Ghosh-Dastidar et al., 2008	Principal component analysis	Artificial neural networks	99.3
Ocak, 2008	Wavelet transform, approximate entropy and genetic algorithm	Learning vector quantization	98.0
Mousavi et al., 2008	Wavelet transform and autoregressive model	Artificial neural networks	96.0
Ubeyli, 2008	Wavelet transform	Expert models	93.2
Chandaka et al., 2009	Crosscorrelation	Support vectro machines	96.0
Ocak, 2009	Wavelet transform and approximate entropy	Surrogate data analysis	96.7
Guo et al., 2009	Wavelet transform and relative wavelet energy	Artificial neural networks	95.2
Naghsh-Nilchi and Aghashahi, 2010	Eigenvector methods	Artificial neural networks	97.5
Guo et al., 2011	Genetic programming	K-nearest neighbor classifier	93.5
Orhan et al., 2011	Wavelet transform	Cauterization and artificial neural networks	96.7
Gajić et al., 2014	Wavelet transform and dimension reduction based on scatter matrices	Quadratic classifiers	99.0