Improvement of EMG Pattern Recognition Model Performance in Repeated Uses by Combining Feature Selection and Incremental Transfer Learning

Electromyography (EMG) pattern recognition is one of the widely used methods to control the rehabilitation robots and prostheses. However, the changes in the distribution of EMG data due to electrodes shifting results in classification decline, which hinders its clinical application in repeated uses...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qi, Zhang, Anyuan, Li, Zhenlan, Wu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236575/
https://www.ncbi.nlm.nih.gov/pubmed/34194311
http://dx.doi.org/10.3389/fnbot.2021.699174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236575/
https://www.ncbi.nlm.nih.gov/pubmed/34194311
http://dx.doi.org/10.3389/fnbot.2021.699174

Ejemplares similares