Cargando…
A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification
Automatic high-level feature extraction has become a possibility with the advancement of deep learning, and it has been used to optimize efficiency. Recently, classification methods for Convolutional Neural Network (CNN)-based electroencephalography (EEG) motor imagery have been proposed, and have a...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773854/ https://www.ncbi.nlm.nih.gov/pubmed/35049650 http://dx.doi.org/10.3390/bios12010022 |