From: Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study

Signal | Category | Feature name |
---|---|---|

EEG | Time domain (F1 to F12) | Statistical features (minimum value, maximum value, arithmetic mean, standard deviation, variance, skewness, kurtosis, median), zero-crossing rate, Hjorth parameters (activity, mobility and complexity) [32] |

Time–frequency domain (F13 to F26) |
Features extracted from wavelet packet coefficients including energy of α, δ, β1, β2, θ and spindle bands, total energy of all bands, energy ratio of (\( \frac{\alpha }{\delta + \theta } \), \( \frac{\delta }{\alpha + \theta } \), \( \frac{\theta }{\alpha + \delta } \), \( \frac{\delta }{\theta } \), \( \frac{\alpha }{\theta } \)), statistical features (mean and standard deviation of coefficients in all of the bands)
| |

Entropy (F27 to F30) | Spectral entropy, Rényi entropy, approximate entropy, permutation entropy [32] | |

Non-linear (F31 to F36) | Petrosian fractal dimension, teager energy, energy, mean curve length, hurst exponent [32], ISD | |

EOG | Time domain (F37 to F41) | Mean, maximum, standard deviation, skewness, kurtosis [58] |

Non-linear (F42) | Energy [58] | |

EMG | Frequency domain (F43 to F46) | Total power in the EMG frequency spectrum, statistical features of EMG frequency spectrum (maximum, mean, standard deviation) [58] |

Non-linear (F47 to F49) | Energy, ratio of the EMG Signal energy for the current epoch and previous epoch, ratio of the EMG signal energy for the current epoch and next epoch [58] |