Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG

Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG

sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signals generated by muscles, reflecting both motor intentions and the degree of muscle contraction. This study aims to classify and recognize nine types of upper limb motor intentions based on surface elec...

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Bibliographic Details
Main Authors: Tao Song, Kunpeng Zhang, Zhe Yan, Yuwen Li, Shuai Guo, Xianhua Li
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
stroke
surface myoelectricity
upper limb rehabilitation robot
interactive control
Online Access:https://www.mdpi.com/1424-8220/25/4/1057
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https://www.mdpi.com/1424-8220/25/4/1057

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