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. 2019 Nov 14;9:16824. doi: 10.1038/s41598-019-53115-3

Table 1.

An overview of the features used in this study, grouped by type. See the Supplementary Methods for a detailed description of all non-trivial features.

Label Short Description Type
F1 Signal Skewness EEG Time Domain
F2 Signal Kurtosis
F3 Zero Crossing Rate
F4 Hjorth Mobility
F5 Hjorth Complexity
F6 75th percentile
F7 Channel Correlation
F8 EMG power EMG proxy
F9 Minimal EMG Power
F10 Relative EMG burst amplitude
F11 Slow Eye Movement power EOG proxy
F12 Rapid Eye Movement power
F13- F16 Relative power in α, β, θ, δ-bands EEG Frequency Domain
F17-F23 Power-ratios: δ/θ, θ/α, α/β, β/γ, (θ + δ)/(α + β)
F24 Spectral edge frequency
F25 Median power frequency
F26 Mean spectral edge frequency difference
F27 Peak power Frequency
F28 Spectral Entropy
F29 Spindle probability Sleep event proxies
F30 Frequency stationarity
F31 Lowest adj. frequency similarity
F32 Maximum B-spline transform
F33 Longest sleep spindle
F34-F38 Power mean in γ, α, β, θ, δ bands CWT based features
F39-F43 Power variance in γ, α, β, θ, δ bands
F44-F48 Power skewness in γ, α, β, θ, δ bands
F49-F53 Power kurtosis in γ, α, β, θ, δ bands
F54-F58 Power entropy in γ, α, β, θ, δ bands
F59-F63 Duration of the activation in γ, α, β, θ, δ bands
F64-F68 75 percentile in γ, α, β, θ, δ bands
F69-F73 Relative power in γ, α, β, θ, δ bands
F74-F77 Power ratios: δ/θ, θ/α, α/β, β/γ
F78-F82 Multi scale entropy 1–5 Non-linear features
F83 Lempel-Ziv complexity