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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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Detalles Bibliográficos
Autores principales: Li, Mingai, Wang, Ruotu, Yang, Jinfu, Duan, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458931/
https://www.ncbi.nlm.nih.gov/pubmed/31049051
http://dx.doi.org/10.1155/2019/7529572