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application programming interface (api) of opensim 4.1  (OpenSim Ltd)

 
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    OpenSim Ltd application programming interface (api) of opensim 4.1
    Application Programming Interface (Api) Of Opensim 4.1, 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/opensim+4%2E1+api/application+programming+interface++api+/pm33515872-54-19-19
    Average 90 stars, based on 1 article reviews
    application programming interface (api) of opensim 4.1 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Full-length radiograph based automatic musculoskeletal modeling using convolutional neural network.
    Article Snippet: Full-length radiographs contain information from which many anatomical parameters of the pelvis, femur, and tibia may be derived, but only a few anatomical parameters are used for musculoskeletal modeling.. This study aimed to develop a fully automatic algorithm to extract anatomical parameters from full-length radiograph to generate a musculoskeletal model that is more accurate than linear scaled one.. A U-Net convolutional neural network was trained to segment the pelvis, femur, and tibia from the full-length radiograph.

    Article Title: Muscle Morphology Does Not Solely Determine Knee Flexion Weakness After Anterior Cruciate Ligament Reconstruction with a Semitendinosus Tendon Graft: A Combined Experimental and Computational Modeling Study
    Article Snippet: The model and all simulations were controlled by accessing the OpenSim application programming interface (API) using custom-made MATLAB scripts.

    Article Title: Automatic generation of personalised skeletal models of the lower limb from three-dimensional bone geometries.
    Article Snippet: The articulated skeletal models were generated leveraging the MATLAB (The MathWorks, Natick, MA, USA) application programming interface (API) of OpenSim 4.1 (Seth et al., 2018): a rigid body with appropriate inertial properties (McConville et al., 1980; Winter, 2009), was created for each leg segment and joints defined based on the JCSs identified at step c).

    Article Title: The effect of body weight on the knee joint biomechanics based on subject-specific finite element-musculoskeletal approach
    Article Snippet: The OpenSim Python application programming interface (API) and the scaled model were used in each trial to perform inverse kinematic analyses.

    Article Title: EMG-Driven Musculoskeletal Model Calibration With Wrapping Surface Personalization
    Article Snippet: Four sequential steps were performed on the generic model using the OpenSim application programming interface (API) with MATLAB (MathWorks, USA) to personalize the model and prepare for EMG-driven model calibration: 1) model scaling to match the individual anthropometry; 2) calibration of lower-extremity joint positions and orientations by tracking the surface marker data [29]; 3) inverse kinematic (IK) analysis to calculate joint angle time histories from marker data; 4) inverse dynamic analysis to derive experimental joint moments using processed ground reaction data and time histories of joint kinematics from IK analysis.

    Article Title: Comparison of different optimal control formulations for generating dynamically consistent crutch walking simulations using a torque-driven model
    Article Snippet: Walking impairment due to spinal cord injury can be improved using active orthoses, together with some type of external support such as crutches for balance.. This study explores how optimal control problem formulation affects the ability to generate dynamically consistent crutch walking simulations with active orthosis assistance that closely reproduce experimental data.. The investigation compares eight optimal tracking problem formulations using a torque-driven full-body skeletal model of a healthy subject walking with active knee-ankle-foot orthoses and forearm crutches.

    Article Title: Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach
    Article Snippet: Net joint moments and pelvis residuals were calculated for each trial by performing IDA using the OpenSim C++ application programming interface.

    Article Title: EMG-Driven Musculoskeletal Model Calibration With Wrapping Surface Personalization
    Article Snippet: Four sequential steps were performed on the generic model using the OpenSim application programming interface (API) with MATLAB (MathWorks, USA) to personalize the model and prepare for EMG-driven model calibration: 1) model scaling to match the individual anthropometry; 2) calibration of lower-extremity joint positions and orientations by tracking the surface marker data [ 29 ]; 3) inverse kinematic (IK) analysis to calculate joint angle time histories from marker data; 4) inverse dynamic analysis to derive experimental joint moments using processed ground reaction data and time histories of joint kinematics from IK analysis.



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