Fat tails and the need to disclose distribution parameters of qEEG databases
Guilherme Wood,
Klaus Willmes,
Jan Willem Koten
et al.
Abstract:Neurometry (a.k.a. quantitative EEG or qEEG) is a popular method to assess clinically relevant abnormalities in the electroencephalogram. Neurometry is based on norm values for the distribution of specific EEG parameters and believed to show good psychometric properties such as test-retest reliability. Many psychometric properties only hold under the Gaussian distribution and become problematic when distributions are fat-tailed. EEG signals are typically fat-tailed and do not show fast convergence to a Gaussia… Show more
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