Cargando…
Motor Imagery Analysis from Extensive EEG Data Representations Using Convolutional Neural Networks
Motor imagery is a complex mental task that represents muscular movement without the execution of muscular action, involving cognitive processes of motor planning and sensorimotor proprioception of the body. Since the mental task has similar behavior to that of the motor execution process, it can be...
Autores principales: | Lomelin-Ibarra, Vicente A., Gutierrez-Rodriguez, Andres E., Cantoral-Ceballos, Jose A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414220/ https://www.ncbi.nlm.nih.gov/pubmed/36015854 http://dx.doi.org/10.3390/s22166093 |
Ejemplares similares
-
Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
por: Xiao, Xiongliang, et al.
Publicado: (2021) -
Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
por: Xie, Yu, et al.
Publicado: (2023) -
A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
por: Wu, Hao, et al.
Publicado: (2019) -
Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network
por: Miao, Minmin, et al.
Publicado: (2020) -
Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
por: Phunruangsakao, Chatrin, et al.
Publicado: (2022)