An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System

BACKGROUND: Due to the redundant information contained in multichannel electroencephalogram (EEG) signals, the classification accuracy of brain-computer interface (BCI) systems may deteriorate to a large extent. Channel selection methods can help to remove task-independent electroencephalogram (EEG)...

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Detalles Bibliográficos
Autores principales: Feng, Jian Kui, Jin, Jing, Daly, Ian, Zhou, Jiale, Niu, Yugang, Wang, Xingyu, Cichocki, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535844/
https://www.ncbi.nlm.nih.gov/pubmed/31214255
http://dx.doi.org/10.1155/2019/8068357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6535844/
https://www.ncbi.nlm.nih.gov/pubmed/31214255
http://dx.doi.org/10.1155/2019/8068357

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