Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches

Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches

Upper limb functional impairments persisting after stroke significantly affect patients’ quality of life. Precise adjustment of robotic assistance levels based on patients’ motion intentions using sEMG signals is crucial for active rehabilitation. This paper systematically revi...

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Bibliographic Details
Main Authors: Zijun Wei, Zhi-Qiang Zhang, Sheng Quan Xie
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Surface electromyography (sEMG)
upper-limb rehabilitation
musculoskeletal model
deep learning
muscle synergy
motor unit
Online Access:https://ieeexplore.ieee.org/document/10487972/

Internet

https://ieeexplore.ieee.org/document/10487972/

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