An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG

Motor Imagery Electroencephalography (MI-EEG) has shown good prospects in neurorehabilitation, and the entropy-based nonlinear dynamic methods have been successfully applied to feature extraction of MI-EEG. Especially based on Multiscale Fuzzy Entropy (MFE), the fuzzy entropies of the <i>τ <...

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Bibliographic Details
Main Authors: Mingai Li, Ruotu Wang, Dongqin Xu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/12/1356