Permutation Entropy: Too Complex a Measure for EEG Time Series?

Permutation Entropy: Too Complex a Measure for EEG Time Series?

Permutation entropy (PeEn) is a complexity measure that originated from dynamical systems theory. Specifically engineered to be robustly applicable to real-world data, the quantity has since been utilised for a multitude of time series analysis tasks. In electroencephalogram (EEG) analysis, value ch...

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Bibliographic Details
Main Authors: Sebastian Berger, Gerhard Schneider, Eberhard F. Kochs, Denis Jordan
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Entropy
Subjects:
permutation entropy
ordinal pattern analysis
electroencephalography
Online Access:https://www.mdpi.com/1099-4300/19/12/692

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