| CP | Number of classes | Researcher (year) | Method | Dataset | Classification accuracy (%) |
| 1 | 2 | Tzallas et al. (2007) [5, 20] | Time-frequency analysis and ANN | Z, S | 100.0 | 1 | 2 | Subasi and Gursoy (2010) [21] | Wavelet transform, principal component analysis, independent component analysis, linear discriminant analysis, and support vector machines | Z, S | 100.0 | 1 | 2 | Guo et al. (2010) [19, 22] | Discrete wavelet transform, line length feature, and MLPNN | Z, S | 99.6 | 1 | 2 | Guo et al. (2011) [23] | Genetic programming-based feature extraction and -nearest neighbors classifier | Z, S | 99.0 | 1 | 2 | Wang et al. (2011) [24] | Wavelet transform and Shannon entropy | Z, S | 100.0 | 1 | 2 | Iscan et al. (2011) [25] | Cross correlation, power spectral density, support vector machines, linear discriminant analysis, and -nearest neighbors classifier | Z, S | 100.0 | 1 | 2 | Orhan et al. (2011) [26] | Wavelet transform, -nearest neighbors classifier, and ANN | Z, S | 100.0 | 1 | 2 | This work (2013) | Baseline cepstral feature vector and PNN | Z, S | 100.0 | 2 | 2 | Ocak (2009) [27] | Discrete wavelet transform and approximate entropy | ZNF, S | 96.65 | 2 | 2 | Guo et al. (2010) [19, 22] | Discrete wavelet transform, line length feature, and MLPNN | ZNF, S | 97.75 | 2 | 2 | This work (2013) | Baseline cepstral feature vector and PNNs | ZNF, S | 100.0 | 3 | 2 | Tzallas et al. (2007) [5, 20] | Time-frequency analysis and ANN | ZONF, S | 97.73 | 3 | 2 | Guo et al. (2010) [19, 22] | Discrete wavelet transform, line length feature, and MLPNN | ZONF, S | 97.77 | 3 | 2 | Orhan et al. (2011) [26] | Wavelet transform, -nearest neighbors classifier, and ANN | ZONF, S | 100.0 | 3 | 2 | This work (2013) | Baseline cepstral feature vector and PNN | ZONF, S | 100.0 | 4 | 3 | Guler et al. (2005) [28] | Lyapunov exponents and recurrent neural network (RNN) | Z, F, S | 96.79 | 4 | 3 | Tzallas et al. (2007) [5, 20] | Time-frequency analysis and ANN | Z, F, S | 99.28 | 4 | 3 | This work (2013) | Baseline cepstral feature vector and PNN | Z, F, S | 100.0 | 5 | 3 | Guo et al. (2010) [19, 22] | Wavelet transform, line length, and ANN | ZO, NF, S | 97.77 | 5 | 3 | Orhan et al. (2011) [26] | Wavelet transform, -nearest neighbors classifier, and ANN | ZO, NF, S | 95.60 | 5 | 3 | This work (2013) | Baseline cepstral feature vector and PNN | ZO, NF, S | 100.0 | 6 | 2 | This work (2013) | Baseline cepstral feature vector and PNN | NF, S | 100.0 | 7 | 5 |
Guler and Ubeyli (2007) [29] | Wavelet transform and Lyapunov exponents-support vector machine | Z, O, N, F, S | 99.28 | 7 | 5 |
Übeyli (2010) [30] | Lyapunov exponents and PNN | Z, O, N, F, S | 98.05 | 7 | 5 | This work (2013) | Baseline cepstral feature vector and PNN | Z, O, N, F, S | 100.0 |
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