Continuous Grasping Force Estimation With Surface EMG Based on Huxley-Type Musculoskeletal Model
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, Central South University, Changsha, China
2. State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical Engineering, Central South University, Changsha, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Key Project of Hunan Health Commission
Project of State Key Laboratory of High Performance Complex Manufacturing, Central South University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/09919873.pdf?arnumber=9919873
Reference35 articles.
1. Grasping force prediction based on sEMG signals
2. Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses
3. Estimation of handgrip force from nonlinear SEMG-force relationship during dynamic contraction tasks
4. Force-velocity Relationship of Muscles Performing Multi-joint Maximum Performance Tasks
5. Simultaneous estimation of grip force and wrist angles by surface electromyography and acceleration signals
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