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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 τ coarse-grain...
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| Publicado no: | Entropy (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7761434/ https://ncbi.nlm.nih.gov/pubmed/33266204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22121356 |
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