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An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction

Feature extraction of motor imagery electroencephalogram (MI-EEG) has shown good application prospects in the field of medical health. Also, multivariate entropy-based feature extraction methods have been gradually applied to analyze complex multichannel biomedical signals, such as EEG and electromy...

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Foilsithe in:Comput Intell Neurosci
Main Authors: Li, Mingai, Wang, Ruotu, Yang, Jinfu, Duan, Lijuan
Formáid: Artigo
Teanga:Inglês
Foilsithe: Hindawi 2019
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6458931/
https://ncbi.nlm.nih.gov/pubmed/31049051
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/7529572
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