From: A review of epileptic seizure detection using machine learning classifiers

Feature extraction methods | Relevant features |
---|---|

Time-domain features | Mean, variance, mode, median, skewness, kurtosis, max, min, zero crossing, line length, energy, power, Shannon entropy, sample entropy, approximate, entropy, fuzzy entropy, hurst exponent, standard deviation |

Frequency-domain features | Spectral power, spectral entropy, energy, peak frequency, median frequency |

Time–frequency-domain features | Line length, min, max, Shannon entropy, approximate entropy, standard deviation, energy, median, root mean square |

Discrete Wavelet Transformation (DWT) | Bounded variation, coefficients, energy, entropy, relative bounded, variation, relative power, relative scale energy, variance, standard deviation |

Continuous Wavelet Transformation (CWT) | Energy’s standard deviation, energy, coefficient z-score, entropy, |

Fourier Transformation (FT) | Median frequency, power, peak frequency, spectral entropy power, spectral edge frequency, total spectral power |