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Table 1 Ranking of features obtained by LPM.

From: Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals

Feature Weight
Current Density Norm
Range Within Pattern
Mean Local Skewness 15 s
λ
8-13 Hz
FitError
Border Activation
2DDFT
Spatial Mean Activation Central
Max First Derivative
Variance
k 2
Spatial Mean Activation Left
Spatial Mean Activation Left Frontal
Laplace-Filter
Mean Local Variance 15 s
14-30 Hz
4-7 Hz
Mean Local Variance 1 s
Spatial Distance of Extrema
Spatial Mean Activation Occipital
k 1
Maximum Amplitude
y
Spatial Mean Activation Right
Kurtosis
x
0-3 Hz
Deterministic Entropy
Spatial Mean Activation Frontal
z
Variance of Local Variance 1 s
Range
Spatial Mean Activation Right Frontal
Variance of Local Variance 15 s
Mean Local Skewness 1 s
31-45 Hz
Shannon Entropy
  1. The diameter of the black circles visualizes the absolute LPM weights |E(w i /||w||)| per feature after learning on the training data set. (The LPM-hyperparameter C had been set to C = 0.1 based on the cross-validation performance.)