Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements

Surface electromyogram (sEMG) signals have been used in human motion intention recognition, which has significant application prospects in the fields of rehabilitation medicine and cognitive science. However, some valuable dynamic information on upper-limb motions is lost in the process of feature e...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhong, Tianyang, Li, Donglin, Wang, Jianhui, Xu, Jiacan, An, Zida, Zhu, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398355/
https://www.ncbi.nlm.nih.gov/pubmed/34450825
http://dx.doi.org/10.3390/s21165385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398355/
https://www.ncbi.nlm.nih.gov/pubmed/34450825
http://dx.doi.org/10.3390/s21165385

Ejemplares similares