Teager Energy Based Filter-Bank Cepstra in EEG Classification for Seizure Detection Using Radial Basis Function Neural Network

Table 4

A comparison of classification accuracy achieved by our method and best performed others’ method for eight classification problems. CP stands for classification problem.

CP; No.	Number; of classes	Researcher; (year)	Method	Dataset	Classification; accuracy (%)
1	2	Tzallas et al., (2007) [29, 30]	Time-frequency analysis and ANN	Z, S	100.0
1	2	Subasi and Gursoy (2010) [31]	Principal component analysis, independent component analysis, linear discriminant analysis, and support vector machines	Z, S	100.0
1	2	Guo et al., (2010) [28]	Discrete wavelet transform, line length feature, and MLPNN	Z, S	99.6
1	2	Guo et al., (2011) [32]	Genetic programming based feature extraction and k-nearest neighbors classifier	Z, S	99.0
1	2	Wang et al., (2011) [33]	Wavelet transform and Shannon entropy	Z, S	100.0
1	2	Iscan et al., (2011) [34]	Cross-correlation, power spectral density, support vector machines, linear discriminant analysis, and 𝑘-nearest neighbors classifier	Z, S	100.0
1	2	Orhan et al., (2011) [35]	Wavelet transform, k-nearest neighbors classifier, and ANN	Z, S	100.0
1	2	This work  (2013)	TE-FB-CEP  feature vectors and RBFNN	Z,  S	99.99
2	2	Ocak (2009) [36]	Discrete wavelet transform and approximate entropy	ZNF, S	96.65
2	2	Guo et al., (2010) [28]	Discrete wavelet transform, line length feature and MLPNN	ZNF, S	97.75
2	2	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	ZNF,  S	97.90
3	2	Tzallas et al., (2007) [29, 30]	Time-frequency analysis and ANN	ZONF, S	97.73
3	2	Guo et al., (2010) [28]	Discrete wavelet transform, line length feature, and MLPNN	ZONF, S	97.77
3	2	Orhan et al., (2011) [35]	Wavelet transform, k-nearest neighbors classifier, and ANN	ZONF, S	100.0
3	2	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	ZONF,  S	98.73
4	3	Güler and Übeyli (2005) [37]	Lyapunov exponents, recurrent neural; network (RNN)	Z, F, S	96.79
4	3	Tzallas et al., (2007) [29, 30]	Time-frequency analysis and ANN	Z, F, S	99.28
4	3	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	Z,  F,  S	99.28
5	3	Guo et al., (2010) [28]	Wavelet transform, line length, and ANN	ZO, NF, S	97.77
5	3	Orhan et al., (2011) [35]	Wavelet transform, k-nearest neighbors classifier, and ANN	ZO, NF, S	95.60
5	3	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	ZO,  NF,  S	98.72
6	5	Güler and Übeyli (2007) [37]	Wavelet transform, Lyapunov exponents-support vector machine	Z, O, N, F, S	99.28
6	5	Übeyli (2010) [38]	Lyapunov exponents and PNN	Z, O, N, F, S	98.05
6	5	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	Z,  O,  N,  F,  S	99.30
7	2	This work  (2013)	TE-FB-CEP feature vectors and RBFNN	NF,  S	99.12