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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| Main Authors: | Tao Song, Kunpeng Zhang, Zhe Yan, Yuwen Li, Shuai Guo, Xianhua Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/4/1057 |
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