inverse kinematics tool in opensim joint articular mechanics (jam)  (OpenSim Ltd)

Journal: Scientific Reports

Article Title: The impact of PCA derived gait kinematic variations on estimated medial knee contact forces in a knee osteoarthritis population

doi: 10.1038/s41598-025-90804-8

Figure Lengend Snippet: Functionally relevant changes (changes exceeding ± 10% BW) as result of kinematic variations in medial (MED) compartment knee contact forces and relative changes in lateral (LAT) compartment (relevant changes are depicted with filled red and blue circle) expressed as a % difference in body weight (BW) compared to knee contact forces estimated using the mean healthy gait pattern (black dotted lines), at the top. Solid grey lines are the cut-off/threshold for functionally relevant knee contact force changes (see Material and Methods section “ ”). Dotted grey lines define peak 1 (P1) and peak 2 (P2) of the gait cycle. Below (bottom) are the kinematics of the different joints contributing to the top 50% (see Fig. ) of the observed variation for each specific mode depicted as ± 1 STD (red, blue respectively). Grey dashed line defines the stance phase.

Article Snippet: Joint kinematics were calculated using the inverse kinematics tool in OpenSim Joint Articular Mechanics (JAM) using a validated musculoskeletal model with combined 12 degrees of freedom for the tibiofemoral (6DOF) and patellofemoral (6DOF) joints .

Techniques:

Journal: Scientific Reports

Article Title: The impact of PCA derived gait kinematic variations on estimated medial knee contact forces in a knee osteoarthritis population

doi: 10.1038/s41598-025-90804-8

Figure Lengend Snippet: Functionally relevant changes (changes exceeding ± 10% BW) as result of kinematic variations in medial (MED) compartment knee contact forces and relative changes in lateral (LAT) compartment (relevant changes are depicted with filled red and blue circle) expressed as a % difference in body weight (BW) compared to knee contact forces estimated using the mean knee OA gait pattern (black dotted lines), at the top. Solid grey lines are the cut-off/threshold for functionally relevant knee contact force changes (see Material and Methods section “ ”). Dotted grey lines define peak 1 (P1) and peak 2 (P2) of the gait cycle. Below (bottom) are the kinematics of the different joints contributing to the top 50% (see Fig. ) of the observed variation for each specific mode depicted as ± 1 STD (red, blue respectively). Grey dashed line defines the stance phase.

Article Snippet: Joint kinematics were calculated using the inverse kinematics tool in OpenSim Joint Articular Mechanics (JAM) using a validated musculoskeletal model with combined 12 degrees of freedom for the tibiofemoral (6DOF) and patellofemoral (6DOF) joints .

Techniques:

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Signatures of disease progression in knee osteoarthritis: insights from an integrated multi-scale modeling approach, a proof of concept

doi: 10.3389/fbioe.2023.1214693

Figure Lengend Snippet: Workflow of the study: (A–C) represent the MSK modeling pipeline to estimate subject-specific knee joint kinematics and kinetics (D,E) represent the FE modeling pipeline to estimate cartilage tissue responses. Red arrows indicate unique approaches: consistent knee geometries in MS and FE pipelines, and MSK-workflow derived subject-specific loading and boundary conditions as inputs for FE model.

Article Snippet: The state-of-the-art OpenSim-JAM workflow uses standard OpenSim tools ( ) in combination with a unique knee joint contact model capable of estimating joint secondary coordinates (Anterior-posterior and medial-lateral translations, internal-external and adduction-abduction rotation).

Techniques: Derivative Assay

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Signatures of disease progression in knee osteoarthritis: insights from an integrated multi-scale modeling approach, a proof of concept

doi: 10.3389/fbioe.2023.1214693

Figure Lengend Snippet: Workflow of the study: (A–C) represent the MSK modeling pipeline to estimate subject-specific knee joint kinematics and kinetics (D,E) represent the FE modeling pipeline to estimate cartilage tissue responses. Red arrows indicate unique approaches: consistent knee geometries in MS and FE pipelines, and MSK-workflow derived subject-specific loading and boundary conditions as inputs for FE model.

Article Snippet: The experimental gait analysis data is processed through the MSK OpenSim-JAM workflow.

Techniques: Derivative Assay