Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG
Author:
Affiliation:
1. School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K
2. School of Computing, University of Leeds, Leeds, U.K
Funder
U.K. Engineering and Physical Sciences Research Council
European Union (EU) Marie Curie Individual Fellowship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/09970372.pdf?arnumber=9970372
Reference50 articles.
1. A musculoskeletal model driven by muscle synergy-derived excitations for hand and wrist movements
2. A direct collocation framework for optimal control simulation of pedaling using OpenSim
3. Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization
4. An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion
5. A Model-Based Analysis of Supraspinal Mechanisms of Inter-Leg Coordination in Human Gait: Toward Model-Informed Robot-Assisted Rehabilitation
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