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Channel and Feature Selection for a Motor Imagery-Based BCI System Using Multilevel Particle Swarm Optimization
Brain-computer interface (BCI) is a communication and control system linking the human brain and computers or other electronic devices. However, irrelevant channels and misleading features unrelated to tasks limit classification performance. To address these problems, we propose an efficient signal...
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| Publicat a: | Comput Intell Neurosci |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7416234/ https://ncbi.nlm.nih.gov/pubmed/32802031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/8890477 |
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