Abstract | ||
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Objective: Neuro-musculoskeletal multibody simulation (NMBS) seeks to optimize decision-making for patients with neuro-musculoskeletal disorders. In clinical practice, however, the inter-subject variability and the inaccessibility for experimental testing impede the reliable model identification. These limitations motivate the novel modeling approach termed as force closure mechanism modeling (FCM... |
Year | DOI | Venue |
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2018 | 10.1109/TBME.2018.2800293 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Mathematical model,Computational modeling,Fasteners,Dynamics,Biological system modeling,Muscles,Force | Computer vision,Multibody simulation,Kinematics,Control theory,Computer science,Hinge joint,Contact force,Artificial intelligence,Knee Joint,Equations of motion,System identification,Hinge | Journal |
Volume | Issue | ISSN |
65 | 11 | 0018-9294 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Geier | 1 | 1 | 1.38 |
Harald Aschemann | 2 | 169 | 56.03 |
Darryl D. Lima | 3 | 1 | 0.36 |
Christoph Woernle | 4 | 3 | 2.12 |
Rainer Bader | 5 | 10 | 4.49 |