Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control
Author:
Affiliation:
1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
2. State Key Laboratory of Mechanical System and Vibration and the Meta Robotics Institute, Shanghai Jiao Tong University, Shanghai, China
Funder
China National Key Research and Development Program
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/10078367.pdf?arnumber=10078367
Reference45 articles.
1. Support Vector Regression for Improved Real-Time, Simultaneous Myoelectric Control
2. Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric
3. EMG-based simultaneous estimations of joint angle and torque during hand interactions with environments;kim;IEEE Trans Biomed Eng,2021
4. Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals
5. Intuitive, Online, Simultaneous, and Proportional Myoelectric Control Over Two Degrees-of-Freedom in Upper Limb Amputees
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