Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN.
A motor imagery EEG (MI-EEG) signal is often selected as the driving signal in an active brain computer interface (BCI) system, and it has been a popular field to recognize MI-EEG images via convolutional neural network (CNN), which poses a potential problem for maintaining the integrity of the time...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 10; pp. 2037 - 2051 |
|---|---|
| Autores principales: | , , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Oct2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |