Decoding Algorithm of Motor Imagery Electroencephalogram Signal Based on CLRNet Network Model

EEG decoding based on motor imagery is an important part of brain–computer interface technology and is an important indicator that determines the overall performance of the brain–computer interface. Due to the complexity of motor imagery EEG feature analysis, traditional classification models rely h...

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Detalles Bibliográficos
Autores principales: Zhang, Chaozhu, Chu, Hongxing, Ma, Mingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536050/
https://www.ncbi.nlm.nih.gov/pubmed/37765751
http://dx.doi.org/10.3390/s23187694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536050/
https://www.ncbi.nlm.nih.gov/pubmed/37765751
http://dx.doi.org/10.3390/s23187694

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