Cargando…
Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods
Single-trial motor imagery classification is a crucial aspect of brain–computer applications. Therefore, it is necessary to extract and discriminate signal features involving motor imagery movements. Riemannian geometry-based feature extraction methods are effective when designing these types of mot...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479542/ https://www.ncbi.nlm.nih.gov/pubmed/30978978 http://dx.doi.org/10.3390/s19071736 |