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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mohammadi, Ehsan, Daneshmand, Parisa Ghaderi, Khorzooghi, Seyyed Mohammad Sadegh Moosavi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Original Article
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

Internet

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

Ejemplares similares