The MusIC method: a fast and quasi-optimal solution to the muscle forces estimation problem
Author:
Affiliation:
1. Univ Rennes, CNRS, Inria, IRISA – UMR 6074, Rennes, France.
2. Écoles de Saint-Cyr Coëtquidan, Guer, France.
Funder
ANR project ENTRACTE
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2018.1429596
Reference35 articles.
1. Determination of Muscle and Joint Forces: A New Technique to Solve the Indeterminate Problem
2. The utility of an empirically derived co-activation ratio for muscle force prediction through optimization
3. Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements from Measurements of Neural Command
4. Estimation of Muscle Forces and Joint Moments Using a Forward-Inverse Dynamics Model
5. Producing physiologically realistic individual muscle force estimations by imposing constraints when using optimization techniques
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