A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI

INTRODUCTION: Brain-computer interfaces (BCIs) have the potential in providing neurofeedback for stroke patients to improve motor rehabilitation. However, current BCIs often only detect general motor intentions and lack the precise information needed for complex movement execution, mainly due to ins...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Haoyang, Ji, Hongfei, Yu, Jian, Li, Jie, Jin, Lingjing, Liu, Lingyu, Bai, Zhongfei, Ye, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150013/
https://www.ncbi.nlm.nih.gov/pubmed/37139522
http://dx.doi.org/10.3389/fnins.2023.1125230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150013/
https://www.ncbi.nlm.nih.gov/pubmed/37139522
http://dx.doi.org/10.3389/fnins.2023.1125230

Ejemplares similares