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OpenSim Ltd wu upper extremity musculoskeletal model
Opensim upper extremity <t>musculoskeletal</t> model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.
Wu Upper Extremity Musculoskeletal 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+model/lower+limb+model/pmc12170632-152-5-14
Average 90 stars, based on 1 article reviews
wu upper extremity musculoskeletal model - by Bioz Stars, 2026-10
90/100 stars

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1) Product Images from "Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling"

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

Journal: Frontiers in Sports and Active Living

doi: 10.3389/fspor.2025.1596670

Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.
Figure Legend Snippet: Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.

Techniques Used:

Methodological framework comparing muscle synergies derived from experimental EMG and musculoskeletal modeling during BFOS, including data acquisition, signal processing, modeling, non-negative matrix factorization, and quantitative comparison of synergy components.
Figure Legend Snippet: Methodological framework comparing muscle synergies derived from experimental EMG and musculoskeletal modeling during BFOS, including data acquisition, signal processing, modeling, non-negative matrix factorization, and quantitative comparison of synergy components.

Techniques Used: Derivative Assay, Comparison

Relationship between synergy number and global variance accounted for (VAF) from EMG (blue) and musculoskeletal model (red) during BFOS. Three synergies were optimal based on global VAF >90%, local VAF >75%, and <5% improvement with additional synergies ( p = 0.12, MANOVA).
Figure Legend Snippet: Relationship between synergy number and global variance accounted for (VAF) from EMG (blue) and musculoskeletal model (red) during BFOS. Three synergies were optimal based on global VAF >90%, local VAF >75%, and <5% improvement with additional synergies ( p = 0.12, MANOVA).

Techniques Used:

Comparison of (A) synergy weight vectors and (B) activation coefficients between EMG (blue) and musculoskeletal model (red) during BFOS. Three distinct functional synergies were identified: Synergy 1 (trapezius-dominant for scapular stabilization during preparation and early acceleration), Synergy 2 (pectoralis/anterior deltoid for shoulder flexion/internal rotation during late acceleration and impact), and Synergy 3 (posterior shoulder muscles for extension/external rotation during follow-through). The x -axis in panel A represents muscle weights ranging from 0-1 for each muscle (abbreviations defined in <xref ref-type=Table 2 ), while panel ( C ) shows temporal activation patterns across normalized movement cycle (0-100%). Shaded areas represent standard error ( n = 20 participants). " title="... and (B) activation coefficients between EMG (blue) and musculoskeletal model (red) during BFOS. Three distinct functional synergies ..." property="contentUrl" width="100%" height="100%"/>
Figure Legend Snippet: Comparison of (A) synergy weight vectors and (B) activation coefficients between EMG (blue) and musculoskeletal model (red) during BFOS. Three distinct functional synergies were identified: Synergy 1 (trapezius-dominant for scapular stabilization during preparation and early acceleration), Synergy 2 (pectoralis/anterior deltoid for shoulder flexion/internal rotation during late acceleration and impact), and Synergy 3 (posterior shoulder muscles for extension/external rotation during follow-through). The x -axis in panel A represents muscle weights ranging from 0-1 for each muscle (abbreviations defined in Table 2 ), while panel ( C ) shows temporal activation patterns across normalized movement cycle (0-100%). Shaded areas represent standard error ( n = 20 participants).

Techniques Used: Comparison, Activation Assay, Functional Assay, Muscles

Related Articles

other:

Article Title: Comparison of shoulder kinematic chain models and their influence on kinematics and kinetics in the study of manual wheelchair propulsion.
Article Snippet: An upper extremity model available with the OpenSim software [34,35] has also been used to investigate MWC propulsion [11,36–38] .

Article Title: Assessment of a markerless motion analysis system for manual wheelchair application
Article Snippet: The OpenSim upper extremity model brings significant computational power to the system, and the interface allowing its use with the Kinect and automating the protocol is the key development of this work.

Article Title: Multibody kinematics optimization for motion reconstruction of the human upper extremity using potential field method.
Article Snippet: Borbély and Szolgay35 reported the computational effort to be 145 milliseconds per frame for a simplified upper extremity model with 7 DOF36 in OpenSim and without closed-loop constraint on the scapula and using motion data from 20 markers.

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling
Article Snippet: A validated OpenSim upper extremity model was implemented to simulate muscle activations via static optimization.

Article Title: Maximum forces and joint stability implications during in-line arm pushes
Article Snippet: Current ergonomic software packages have no way of determining manual arm strength limits when the force vector passes directly through the elbow and shoulder, such that the moment demands on those joints are very low.. The first step in overcoming this dilemma is to understand what the arm force limitations are when there is no moment to balance.. Sixteen participants generated isometric in-line arm forces at varying intensities.

Article Title: Muscle contributions to elbow joint rotational stiffness in preparation for sudden external arm perturbations.
Article Snippet: Michael W.R. Holmes is with the Faculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, ON, Canada.. Peter J. Keir is with the Department of Kinesiology, McMaster University, Hamilton, ON, Canada.. Address author correspondence to Peter J. Keir at pjkeir@ mcmaster.ca.

Software:

Article Title: Modeling Implantable Passive Mechanisms for Modifying the Transmission of Forces and Movements Between Muscle and Tendons
Article Snippet: .. The moving-lever mechanism was added to the basic OpenSim upper extremity model in the form of a single rigid cylindrical element (these models may be designed in a 3-D modeling software, such as AutoCAD or created inside OpenSim itself). ..



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Image Search Results


Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.

Journal: Frontiers in Sports and Active Living

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

doi: 10.3389/fspor.2025.1596670

Figure Lengend Snippet: Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.

Article Snippet: The computational framework employed the Wu upper extremity musculoskeletal model ( ) implemented in OpenSim (version 4.5), incorporating three degrees of freedom at the scapulothoracic, acromioclavicular, and glenohumeral joints.

Techniques:

Methodological framework comparing muscle synergies derived from experimental EMG and musculoskeletal modeling during BFOS, including data acquisition, signal processing, modeling, non-negative matrix factorization, and quantitative comparison of synergy components.

Journal: Frontiers in Sports and Active Living

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

doi: 10.3389/fspor.2025.1596670

Figure Lengend Snippet: Methodological framework comparing muscle synergies derived from experimental EMG and musculoskeletal modeling during BFOS, including data acquisition, signal processing, modeling, non-negative matrix factorization, and quantitative comparison of synergy components.

Article Snippet: The computational framework employed the Wu upper extremity musculoskeletal model ( ) implemented in OpenSim (version 4.5), incorporating three degrees of freedom at the scapulothoracic, acromioclavicular, and glenohumeral joints.

Techniques: Derivative Assay, Comparison

Relationship between synergy number and global variance accounted for (VAF) from EMG (blue) and musculoskeletal model (red) during BFOS. Three synergies were optimal based on global VAF >90%, local VAF >75%, and <5% improvement with additional synergies ( p = 0.12, MANOVA).

Journal: Frontiers in Sports and Active Living

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

doi: 10.3389/fspor.2025.1596670

Figure Lengend Snippet: Relationship between synergy number and global variance accounted for (VAF) from EMG (blue) and musculoskeletal model (red) during BFOS. Three synergies were optimal based on global VAF >90%, local VAF >75%, and <5% improvement with additional synergies ( p = 0.12, MANOVA).

Article Snippet: The computational framework employed the Wu upper extremity musculoskeletal model ( ) implemented in OpenSim (version 4.5), incorporating three degrees of freedom at the scapulothoracic, acromioclavicular, and glenohumeral joints.

Techniques:

Comparison of (A) synergy weight vectors and (B) activation coefficients between EMG (blue) and musculoskeletal model (red) during BFOS. Three distinct functional synergies were identified: Synergy 1 (trapezius-dominant for scapular stabilization during preparation and early acceleration), Synergy 2 (pectoralis/anterior deltoid for shoulder flexion/internal rotation during late acceleration and impact), and Synergy 3 (posterior shoulder muscles for extension/external rotation during follow-through). The x -axis in panel A represents muscle weights ranging from 0-1 for each muscle (abbreviations defined in <xref ref-type=Table 2 ), while panel ( C ) shows temporal activation patterns across normalized movement cycle (0-100%). Shaded areas represent standard error ( n = 20 participants). " width="100%" height="100%">

Journal: Frontiers in Sports and Active Living

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

doi: 10.3389/fspor.2025.1596670

Figure Lengend Snippet: Comparison of (A) synergy weight vectors and (B) activation coefficients between EMG (blue) and musculoskeletal model (red) during BFOS. Three distinct functional synergies were identified: Synergy 1 (trapezius-dominant for scapular stabilization during preparation and early acceleration), Synergy 2 (pectoralis/anterior deltoid for shoulder flexion/internal rotation during late acceleration and impact), and Synergy 3 (posterior shoulder muscles for extension/external rotation during follow-through). The x -axis in panel A represents muscle weights ranging from 0-1 for each muscle (abbreviations defined in Table 2 ), while panel ( C ) shows temporal activation patterns across normalized movement cycle (0-100%). Shaded areas represent standard error ( n = 20 participants).

Article Snippet: The computational framework employed the Wu upper extremity musculoskeletal model ( ) implemented in OpenSim (version 4.5), incorporating three degrees of freedom at the scapulothoracic, acromioclavicular, and glenohumeral joints.

Techniques: Comparison, Activation Assay, Functional Assay, Muscles

Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.

Journal: Frontiers in Sports and Active Living

Article Title: Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

doi: 10.3389/fspor.2025.1596670

Figure Lengend Snippet: Opensim upper extremity musculoskeletal model shown from anterior, lateral, and posterior views, featuring 32 hill-type musculotendon actuators and 15 degrees of freedom across the shoulder, elbow, and wrist joints with subject-specific scaling. The views illustrate the complete muscle representation from different anatomical perspectives.

Article Snippet: A validated OpenSim upper extremity model was implemented to simulate muscle activations via static optimization.

Techniques: