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Electroencephalography-Based Brain–Computer Interface Motor Imagery Classification
BACKGROUND: Advances in the medical applications of brain–computer interface, like the motor imagery systems, are highly contributed to making the disabled live better. One of the challenges with such systems is to achieve high classification accuracy. METHODS: A highly accurate classification algor...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer - Medknow
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804596/ https://www.ncbi.nlm.nih.gov/pubmed/35265464 http://dx.doi.org/10.4103/jmss.JMSS_74_20 |