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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Tao Song, Kunpeng Zhang, Zhe Yan, Yuwen Li, Shuai Guo, Xianhua Li
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2025-02-01
Schriftenreihe:Sensors
Schlagworte:
Online Zugang:https://www.mdpi.com/1424-8220/25/4/1057