Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform

At present, electroencephalogram (EEG) signals play an irreplaceable role in the diagnosis and treatment of human diseases and medical research. EEG signals need to be processed in order to reduce the adverse effects of irrelevant physiological process interference and measurement noise. Wavelet tra...

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Detalles Bibliográficos
Autores principales: Wang, Xian-Yu, Li, Cong, Zhang, Rui, Wang, Liang, Tan, Jin-Lin, Wang, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198366/
https://www.ncbi.nlm.nih.gov/pubmed/35720691
http://dx.doi.org/10.3389/fnins.2022.921642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198366/
https://www.ncbi.nlm.nih.gov/pubmed/35720691
http://dx.doi.org/10.3389/fnins.2022.921642

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