EEG artifact removal using sub-space decomposition, nonlinear dynamics, stationary wavelet transform and machine learning algorithms

Blind source separation (BSS) methods have received a great deal of attention in electroencephalogram (EEG) artifact elimination as they are routine and standard signal processing tools to remove artifacts and reserve desired neural information. On the other hand, a classifier should follow BSS meth...

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Detalles Bibliográficos
Autores principales: Zangeneh Soroush, Morteza, Tahvilian, Parisa, Nasirpour, Mohammad Hossein, Maghooli, Keivan, Sadeghniiat-Haghighi, Khosro, Vahid Harandi, Sepide, Abdollahi, Zeinab, Ghazizadeh, Ali, Jafarnia Dabanloo, Nader
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449652/
https://www.ncbi.nlm.nih.gov/pubmed/36091378
http://dx.doi.org/10.3389/fphys.2022.910368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449652/
https://www.ncbi.nlm.nih.gov/pubmed/36091378
http://dx.doi.org/10.3389/fphys.2022.910368

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