Cargando…
A Multi-Scale Temporal Convolutional Network with Attention Mechanism for Force Level Classification during Motor Imagery of Unilateral Upper-Limb Movements
In motor imagery (MI) brain–computer interface (BCI) research, some researchers have designed MI paradigms of force under a unilateral upper-limb static state. It is difficult to apply these paradigms to the dynamic force interaction process between the robot and the patient in a brain-controlled re...
Autores principales: | Sheng, Junpeng, Xu, Jialin, Li, Han, Liu, Zhen, Zhou, Huilin, You, Yimeng, Song, Tao, Zuo, Guokun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048057/ https://www.ncbi.nlm.nih.gov/pubmed/36981352 http://dx.doi.org/10.3390/e25030464 |
Ejemplares similares
-
A Novel Time-Incremental End-to-End Shared Neural Network with Attention-Based Feature Fusion for Multiclass Motor Imagery Recognition
por: Lian, Shidong, et al.
Publicado: (2021) -
Phantom limb perception interferes with motor imagery after unilateral upper-limb amputation
por: Lyu, Yuanyuan, et al.
Publicado: (2016) -
An EEG Study of the Influence of Target Appearing in the Upper and Lower Visual Fields on Brain Attention Resource Allocation
por: Li, Han, et al.
Publicado: (2023) -
Comparison of EEG measurement of upper limb movement in motor imagery training system
por: Suwannarat, Arpa, et al.
Publicado: (2018) -
Motor Imagery-Related Changes of Neural Oscillation in Unilateral Lower Limb Amputation
por: Shan, Xinying, et al.
Publicado: (2022)