EEG channel selection based on sequential backward floating search for motor imagery classification

Brain-computer interfaces (BCIs) based on motor imagery (MI) utilizing multi-channel electroencephalogram (EEG) data are commonly used to improve motor function of people with motor disabilities. EEG channel selection can enhance MI classification accuracy by selecting informative channels, accordin...

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Detalles Bibliográficos
Autores principales: Tang, Chao, Gao, Tianyi, Li, Yuanhao, Chen, Badong
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/PMC9633952/
https://www.ncbi.nlm.nih.gov/pubmed/36340754
http://dx.doi.org/10.3389/fnins.2022.1045851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633952/
https://www.ncbi.nlm.nih.gov/pubmed/36340754
http://dx.doi.org/10.3389/fnins.2022.1045851

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