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OpenSim Ltd upper extremity dynamic model (uedm)
Upper Extremity Dynamic Model (Uedm), supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/upper+extremity+dynamic+model/upper+extremity+dynamic+model/10__18203_slash_issn__2455___4510__intjresorthop20241695-101-4-9
Average 90 stars, based on 1 article reviews
upper extremity dynamic model (uedm) - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Reinforcement learning control of a biomechanical model of the upper extremity
Article Snippet: Our biomechanical model of the human upper extremity is based on the Upper Extremity Dynamic model , which was originally implemented in OpenSim .

Article Title: Mass distribution of wheelchair athletes assessed using DXA scans and biomechanical simulations.
Article Snippet: The anthropometries of elite wheelchair racing athletes differ from the generic, ablebodied anthropometries commonly used in computational biomechanical simulations.. The impact of using able-bodied parameters on the accuracy of simulations involving wheelchair racing is currently unknown.. In this study, athlete-specific mass segment inertial parameters of the head and neck, torso, upper arm, forearm, hand, thigh, shank, and feet for five elite wheelchair athletes were calculated using dual-energy X-ray absorptiometry (DXA) scans.

Software:

Article Title: Estimating the Maximum Isometric Force Generating Capacity of Wheelchair Racing Athletes for Simulation Purposes.
Article Snippet: For the wheelchair racing population, it is uncertain whether musculoskeletal models using the maximum isometric force generating capacity of non-athletic, able-bodied individuals, are appropriate, as few anthropometric parameters for wheelchair athletes are reported in the literature.. In this study, a sensitivity analysis was performed in OpenSim, whereby the maximum isometric force generating capacity of muscles was adjusted in 25% increments to literature defined values between scaling factors of 0.25x to 4.0x for two elite athletes, at three speeds representative of race conditions.. Convergence of the solution was used to assess the results.



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90
OpenSim Ltd upper extremity dynamic model (uedm)
Upper Extremity Dynamic Model (Uedm), supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/upper+extremity+dynamic+model/upper+extremity+dynamic+model/10__18203_slash_issn__2455___4510__intjresorthop20241695-101-4-9
Average 90 stars, based on 1 article reviews
upper extremity dynamic model (uedm) - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

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OpenSim Ltd mobl upper extremity dynamic model
Mobl Upper Extremity Dynamic Model, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/upper+extremity+dynamic+model/mobl+upper+extremity+dynamic+model/10__1016_slash_j__medntd__2021__100076-72-12-1
Average 90 stars, based on 1 article reviews
mobl upper extremity dynamic model - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
OpenSim Ltd upper extremity dynamic model
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Upper Extremity Dynamic Model, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/upper+extremity+dynamic+model/upper+extremity+dynamic+model/pmc08280157-210-5-1
Average 90 stars, based on 1 article reviews
upper extremity dynamic model - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
OpenSim Ltd mobl arms dynamic musculoskeletal model of the upper extremity
Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical <t>upper</t> <t>extremity</t> <t>model</t> from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.
Mobl Arms Dynamic Musculoskeletal Model Of The Upper Extremity, supplied by OpenSim Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/upper+extremity+dynamic+model/mobl+arms+dynamic+musculoskeletal+model+of+the+upper+extremity/pmc06301033-85-14-17
Average 90 stars, based on 1 article reviews
mobl arms dynamic musculoskeletal model of the upper extremity - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

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Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical upper extremity model from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.

Journal: Scientific Reports

Article Title: Reinforcement learning control of a biomechanical model of the upper extremity

doi: 10.1038/s41598-021-93760-1

Figure Lengend Snippet: Synthesized reaching movement. A policy implemented as a neural network computes motor control signals of simplified muscles at the joints of a biomechanical upper extremity model from observations of the current state of the upper body. We use Deep Reinforcement Learning to learn a policy that reaches random targets in minimal time, given signal-dependent and constant motor noise.

Article Snippet: Using OpenSim, we scaled the Upper Extremity Dynamic Model to this particular person.

Techniques: Synthesized, Control, Muscles