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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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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6535844/ https://ncbi.nlm.nih.gov/pubmed/31214255 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/8068357 |
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