Cargando…
Approximating complex musculoskeletal biomechanics using multidimensional autogenerating polynomials
Computational models of the musculoskeletal system are scientific tools used to study human movement, quantify the effects of injury and disease, plan surgical interventions, or control realistic high-dimensional articulated prosthetic limbs. If the models are sufficiently accurate, they may embed c...
Autores principales: | Sobinov, Anton, Boots, Matthew T., Gritsenko, Valeriya, Fisher, Lee E., Gaunt, Robert A., Yakovenko, Sergiy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773415/ https://www.ncbi.nlm.nih.gov/pubmed/33326417 http://dx.doi.org/10.1371/journal.pcbi.1008350 |
Ejemplares similares
-
Correction: Biomechanical Constraints Underlying Motor Primitives Derived from the Musculoskeletal Anatomy of the Human Arm
por: Gritsenko, Valeriya, et al.
Publicado: (2018) -
Biomechanical Constraints Underlying Motor Primitives Derived from the Musculoskeletal Anatomy of the Human Arm
por: Gritsenko, Valeriya, et al.
Publicado: (2016) -
Analytical CPG model driven by limb velocity input generates accurate temporal locomotor dynamics
por: Yakovenko, Sergiy, et al.
Publicado: (2018) -
Computational evidence for nonlinear feedforward modulation of fusimotor drive to antagonistic co-contracting muscles
por: Hardesty, Russell L., et al.
Publicado: (2020) -
Solving musculoskeletal biomechanics with machine learning
por: Smirnov, Yaroslav, et al.
Publicado: (2021)