A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation

A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation

IntroductionMotor imagery (MI)-based brain-computer interfaces (BCI) offers promising applications in rehabilitation. Traditional force-based MI-BCI paradigms generally require subjects to imagine constant force during static or dynamic state. It is challenging to meet the demands of dynamic interac...

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Bibliographic Details
Main Authors: Ankai Ying, Jinwang Lv, Junchen Huang, Tian Wang, Peixin Si, Jiyu Zhang, Guokun Zuo, Jialin Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interfaces
force intensity variation
spatial-temporal-enhanced strategy
motor imagery
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1591398/full
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