selected_features.json

{
  "spectral": {
    "FFT mean coefficient": {
      "complexity": "constant",
      "description": "Computes the mean value of each spectrogram frequency.",
      "function": "tsfel.fft_mean_coeff",
      "parameters": {
        "fs": 100,
        "nfreq": 256
      },
      "n_features": "nfreq",
      "use": "no"
    },
    "Fundamental frequency": {
      "complexity": "log",
      "description": "Computes the fundamental frequency.",
      "function": "tsfel.fundamental_frequency",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Human range energy": {
      "complexity": "log",
      "description": "Computes the human range energy ratio given by the ratio between the energy in frequency 0.6-2.5Hz and the whole energy band.",
      "function": "tsfel.human_range_energy",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no",
      "tag": "inertial"
    },
    "LPCC": {
      "complexity": "log",
      "description": "Computes the linear prediction cepstral coefficients.",
      "function": "tsfel.lpcc",
      "parameters": {
        "n_coeff": 12
      },
      "n_features": "n_coeff",
      "use": "no",
      "tag": "audio"
    },
    "MFCC": {
      "complexity": "constant",
      "description": "Computes the MEL cepstral coefficients.",
      "function": "tsfel.mfcc",
      "parameters": {
        "cep_lifter": 22,
        "fs": 100,
        "nfft": 512,
        "nfilt": 40,
        "num_ceps": 12,
        "pre_emphasis": 0.97
      },
      "n_features": "num_ceps",
      "use": "no",
      "tag": [
        "audio",
        "emg"
      ]
    },
    "Max power spectrum": {
      "complexity": "log",
      "description": "Computes the maximum power spectrum density.",
      "function": "tsfel.max_power_spectrum",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "yes"
    },
    "Maximum frequency": {
      "complexity": "log",
      "description": "Computes the maximum frequency.",
      "function": "tsfel.max_frequency",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Median frequency": {
      "complexity": "log",
      "description": "Computes the median frequency.",
      "function": "tsfel.median_frequency",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Power bandwidth": {
      "complexity": "log",
      "description": "Computes power spectrum density bandwidth of the signal.",
      "function": "tsfel.power_bandwidth",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral centroid": {
      "complexity": "linear",
      "description": "Computes the barycenter of the spectrum.",
      "function": "tsfel.spectral_centroid",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no",
      "tag": "audio"
    },
    "Spectral decrease": {
      "complexity": "log",
      "description": "Computes the amount of decreasing of the spectra amplitude.",
      "function": "tsfel.spectral_decrease",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral distance": {
      "complexity": "log",
      "description": "Computes the signal spectral distance.",
      "function": "tsfel.spectral_distance",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral entropy": {
      "complexity": "log",
      "description": "Computes the spectral entropy of the signal based on Fourier transform.",
      "function": "tsfel.spectral_entropy",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no",
      "tag": "eeg"
    },
    "Spectral kurtosis": {
      "complexity": "linear",
      "description": "Computes the flatness of a distribution around its mean value.",
      "function": "tsfel.spectral_kurtosis",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral positive turning points": {
      "complexity": "log",
      "description": "Computes number of positive turning points of the fft magnitude signal",
      "function": "tsfel.spectral_positive_turning",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral roll-off": {
      "complexity": "log",
      "description": "Computes the frequency where 95% of the signal magnitude is contained below of this value.",
      "function": "tsfel.spectral_roll_off",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no",
      "tag": "audio"
    },
    "Spectral roll-on": {
      "complexity": "log",
      "description": "Computes the frequency where 5% of the signal magnitude is contained below of this value.",
      "function": "tsfel.spectral_roll_on",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral skewness": {
      "complexity": "linear",
      "description": "Computes the asymmetry of a distribution around its mean value.",
      "function": "tsfel.spectral_skewness",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral slope": {
      "complexity": "log",
      "description": "Computes the spectral slope, obtained by linear regression of the spectral amplitude.",
      "function": "tsfel.spectral_slope",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral spread": {
      "complexity": "linear",
      "description": "Computes the spread of the spectrum around its mean value.",
      "function": "tsfel.spectral_spread",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Spectral variation": {
      "complexity": "log",
      "description": "Computes the amount of variation of the spectrum along time.",
      "function": "tsfel.spectral_variation",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Wavelet absolute mean": {
      "complexity": "linear",
      "description": "Computes CWT absolute mean value of each wavelet scale.",
      "function": "tsfel.wavelet_abs_mean",
      "parameters": {
        "function": "scipy.signal.ricker",
        "widths": "np.arange(1,10)"
      },
      "n_features": "widths",
      "use": "no",
      "tag": [
        "eeg",
        "ecg"
      ]
    },
    "Wavelet energy": {
      "complexity": "linear",
      "description": "Computes CWT energy of each wavelet scale.",
      "function": "tsfel.wavelet_energy",
      "parameters": {
        "function": "scipy.signal.ricker",
        "widths": "np.arange(1,10)"
      },
      "n_features": "widths",
      "use": "no",
      "tag": "eeg"
    },
    "Wavelet entropy": {
      "complexity": "linear",
      "description": "Computes CWT entropy of the signal.",
      "function": "tsfel.wavelet_entropy",
      "parameters": {
        "function": "scipy.signal.ricker",
        "widths": "np.arange(1,10)"
      },
      "n_features": 1,
      "use": "no",
      "tag": "eeg"
    },
    "Wavelet standard deviation": {
      "complexity": "linear",
      "description": "Computes CWT std value of each wavelet scale.",
      "function": "tsfel.wavelet_std",
      "parameters": {
        "function": "scipy.signal.ricker",
        "widths": "np.arange(1,10)"
      },
      "n_features": "widths",
      "use": "no",
      "tag": "eeg"
    },
    "Wavelet variance": {
      "complexity": "linear",
      "description": "Computes CWT variance value of each wavelet scale.",
      "function": "tsfel.wavelet_var",
      "parameters": {
        "function": "scipy.signal.ricker",
        "widths": "np.arange(1,10)"
      },
      "n_features": "widths",
      "use": "no",
      "tag": "eeg"
    }
  },
  "statistical": {
    "Absolute energy": {
      "complexity": "log",
      "description": "Computes the absolute energy of the signal.",
      "function": "tsfel.abs_energy",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": "audio"
    },
    "Average power": {
      "complexity": "constant",
      "description": "Computes the average power of the signal.",
      "function": "tsfel.average_power",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no",
      "tag": "audio"
    },
    "ECDF": {
      "complexity": "log",
      "description": "Computes the values of ECDF (empirical cumulative distribution function) along the time axis.",
      "function": "tsfel.ecdf",
      "parameters": {
        "d": 10
      },
      "n_features": "d",
      "use": "no"
    },
    "ECDF Percentile": {
      "complexity": "log",
      "description": "Determines the percentile value of the ECDF.",
      "function": "tsfel.ecdf_percentile",
      "parameters": {
        "percentile": "[0.2, 0.8]"
      },
      "n_features": "percentile",
      "use": "no"
    },
    "ECDF Percentile Count": {
      "complexity": "log",
      "description": "Determines the cumulative sum of samples that are less than the percentile.",
      "function": "tsfel.ecdf_percentile_count",
      "parameters": {
        "percentile": "[0.2, 0.8]"
      },
      "n_features": "percentile",
      "use": "no"
    },
    "Entropy": {
      "complexity": "log",
      "description": "Computes the entropy of the signal using the Shannon Entropy.",
      "function": "tsfel.entropy",
      "parameters": {
        "prob": "standard"
      },
      "n_features": 1,
      "use": "no",
      "tag": "eeg"
    },
    "Histogram": {
      "complexity": "log",
      "description": "Computes histogram of the signal.",
      "function": "tsfel.hist",
      "parameters": {
        "nbins": 10,
        "r": 1
      },
      "n_features": "nbins",
      "use": "no"
    },
    "Interquartile range": {
      "complexity": "constant",
      "description": "Computes interquartile range of the signal.",
      "function": "tsfel.interq_range",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Kurtosis": {
      "complexity": "constant",
      "description": "Computes kurtosis of the signal.",
      "function": "tsfel.kurtosis",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Max": {
      "complexity": "constant",
      "description": "Computes the maximum value of the signal.",
      "function": "tsfel.calc_max",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Mean": {
      "complexity": "constant",
      "description": "Computes the mean value of the signal.",
      "function": "tsfel.calc_mean",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": "inertial"
    },
    "Mean absolute deviation": {
      "complexity": "log",
      "description": "Computes mean absolute deviation of the signal.",
      "function": "tsfel.mean_abs_deviation",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Median": {
      "complexity": "constant",
      "description": "Computes median of the signal.",
      "function": "tsfel.calc_median",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Median absolute deviation": {
      "complexity": "constant",
      "description": "Computes median absolute deviation of the signal.",
      "function": "tsfel.median_abs_deviation",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Min": {
      "complexity": "constant",
      "description": "Computes the minimum value of the signal.",
      "function": "tsfel.calc_min",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Peak to peak distance": {
      "complexity": "constant",
      "description": "Computes the peak to peak distance.",
      "function": "tsfel.pk_pk_distance",
      "parameters": "",
      "n_features": 1,
      "use": "yes"
    },
    "Root mean square": {
      "complexity": "constant",
      "description": "Computes root mean square of the signal.",
      "function": "tsfel.rms",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": [
        "emg",
        "inertial"
      ]
    },
    "Skewness": {
      "complexity": "constant",
      "description": "Computes skewness of the signal.",
      "function": "tsfel.skewness",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Standard deviation": {
      "complexity": "constant",
      "description": "Computes standard deviation of the signal.",
      "function": "tsfel.calc_std",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Variance": {
      "complexity": "constant",
      "description": "Computes variance of the signal.",
      "function": "tsfel.calc_var",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    }
  },
  "temporal": {
    "Area under the curve": {
      "complexity": "log",
      "description": "Computes the area under the curve of the signal computed with trapezoid rule.",
      "function": "tsfel.auc",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "yes"
    },
    "Autocorrelation": {
      "complexity": "constant",
      "description": "Computes autocorrelation of the signal.",
      "function": "tsfel.autocorr",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": "inertial"
    },
    "Centroid": {
      "complexity": "constant",
      "description": "Computes the centroid along the time axis.",
      "function": "tsfel.calc_centroid",
      "parameters": {
        "fs": 100
      },
      "n_features": 1,
      "use": "no"
    },
    "Mean absolute diff": {
      "complexity": "constant",
      "description": "Computes mean absolute differences of the signal.",
      "function": "tsfel.mean_abs_diff",
      "parameters": "",
      "n_features": 1,
      "use": "yes"
    },
    "Mean diff": {
      "complexity": "constant",
      "description": "Computes mean of differences of the signal.",
      "function": "tsfel.mean_diff",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Median absolute diff": {
      "complexity": "constant",
      "description": "Computes median absolute differences of the signal.",
      "function": "tsfel.median_abs_diff",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Median diff": {
      "complexity": "constant",
      "description": "Computes median of differences of the signal.",
      "function": "tsfel.median_diff",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Negative turning points": {
      "complexity": "constant",
      "description": "Computes number of negative turning points of the signal.",
      "function": "tsfel.negative_turning",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": "emg"
    },
    "Neighbourhood peaks": {
      "complexity": "constant",
      "description": "Computes the number of peaks from a defined neighbourhood of the signal.",
      "function": "tsfel.neighbourhood_peaks",
      "parameters": {
        "n": 10
      },
      "n_features": 1,
      "use": "no"
    },
    "Positive turning points": {
      "complexity": "constant",
      "description": "Computes number of positive turning points of the signal.",
      "function": "tsfel.positive_turning",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": "emg"
    },
    "Signal distance": {
      "complexity": "constant",
      "description": "Computes signal traveled distance.",
      "function": "tsfel.distance",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Slope": {
      "complexity": "log",
      "description": "Computes the slope of the signal by fitting a linear equation to the observed data.",
      "function": "tsfel.slope",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Sum absolute diff": {
      "complexity": "constant",
      "description": "Computes sum of absolute differences of the signal.",
      "function": "tsfel.sum_abs_diff",
      "parameters": "",
      "n_features": 1,
      "use": "no"
    },
    "Zero crossing rate": {
      "complexity": "constant",
      "description": "Computes Zero-crossing rate of the signal.",
      "function": "tsfel.zero_cross",
      "parameters": "",
      "n_features": 1,
      "use": "no",
      "tag": [
        "audio",
        "emg"
      ]
    }
  }
}