IMF-Based MF and HS Energy Feature Information of F5, and F6 Movement and Motor Imagery EEG Signals in Delta Rhythms Using HHT

This study aims to extract the energy feature distributions in the form of marginal frequency (MF) and Hilbert spectrum (HS) in the intrinsic mode functions (IMF) domain for actual movement (AM)-based and motor imagery (MI)-based electroencephalogram (EEG) signals using the Hilbert–Huang transformat...

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Detalles Bibliográficos
Autores principales: Lin, Chin-Feng, Lin, Hong-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920123/
https://www.ncbi.nlm.nih.gov/pubmed/36772115
http://dx.doi.org/10.3390/s23031078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920123/
https://www.ncbi.nlm.nih.gov/pubmed/36772115
http://dx.doi.org/10.3390/s23031078

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