simulation software opensim version 3.3 Search Results


opensim(v.3.3)  (OpenSim Ltd)
90
OpenSim Ltd opensim(v.3.3)
Opensim(V.3.3), 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/result/opensim(v.3.3)/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
opensim(v.3.3) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
computer model opensim 3.3  (OpenSim Ltd)
90
OpenSim Ltd computer model opensim 3.3
Computer Model Opensim 3.3, 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/result/computer model opensim 3.3/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
computer model opensim 3.3 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
musculoskeletal model  (OpenSim Ltd)
90
OpenSim Ltd musculoskeletal model
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/result/musculoskeletal model/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
musculoskeletal model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
opensim version 3.3  (OpenSim Ltd)
90
OpenSim Ltd opensim version 3.3
The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of <t>KCFs</t> and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. <t>The</t> <t>OpenSim</t> platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.
Opensim Version 3.3, 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/result/opensim version 3.3/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
opensim version 3.3 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
muscle analysis in the analyze tool in opensim 3.3  (OpenSim Ltd)
90
OpenSim Ltd muscle analysis in the analyze tool in opensim 3.3
The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of <t>KCFs</t> and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. <t>The</t> <t>OpenSim</t> platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.
Muscle Analysis In The Analyze Tool In Opensim 3.3, 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/result/muscle analysis in the analyze tool in opensim 3.3/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
muscle analysis in the analyze tool in opensim 3.3 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
musculoskeletal model and simulations  (OpenSim Ltd)
90
OpenSim Ltd musculoskeletal model and simulations
The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of <t>KCFs</t> and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. <t>The</t> <t>OpenSim</t> platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.
Musculoskeletal Model And Simulations, 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/result/musculoskeletal model and simulations/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
musculoskeletal model and simulations - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
musculoskeletal model opensim 3.3  (OpenSim Ltd)
90
OpenSim Ltd musculoskeletal model opensim 3.3
The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of <t>KCFs</t> and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. <t>The</t> <t>OpenSim</t> platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.
Musculoskeletal Model Opensim 3.3, 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/result/musculoskeletal model opensim 3.3/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
musculoskeletal model opensim 3.3 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
inverse kinematic simulations opensim v. 3.3  (OpenSim Ltd)
90
OpenSim Ltd inverse kinematic simulations opensim v. 3.3
The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of <t>KCFs</t> and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. <t>The</t> <t>OpenSim</t> platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.
Inverse Kinematic Simulations Opensim V. 3.3, 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/result/inverse kinematic simulations opensim v. 3.3/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
inverse kinematic simulations opensim v. 3.3 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
muscle energetics model  (OpenSim Ltd)
90
OpenSim Ltd muscle energetics model
Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle <t>energetics</t> (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).
Muscle Energetics 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/result/muscle energetics model/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
muscle energetics model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
mobl arms dynamic musculoskeletal model of the upper extremity  (OpenSim Ltd)
90
OpenSim Ltd mobl arms dynamic musculoskeletal model of the upper extremity
Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle <t>energetics</t> (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).
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/result/mobl arms dynamic musculoskeletal model of the upper extremity/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
mobl arms dynamic musculoskeletal model of the upper extremity - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
inverse kinematic simulations  (OpenSim Ltd)
90
OpenSim Ltd inverse kinematic simulations
Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle <t>energetics</t> (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).
Inverse Kinematic Simulations, 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/result/inverse kinematic simulations/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
inverse kinematic simulations - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
gait2392 model  (OpenSim Ltd)
90
OpenSim Ltd gait2392 model
Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle <t>energetics</t> (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).
Gait2392 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/result/gait2392 model/product/OpenSim Ltd
Average 90 stars, based on 1 article reviews
gait2392 model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of KCFs and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. The OpenSim platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.

Journal: Annals of Biomedical Engineering

Article Title: The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets

doi: 10.1007/s10439-020-02465-5

Figure Lengend Snippet: The CAMS-Knee datasets were used to validate musculoskeletal simulation predictions of KCFs and muscle activations for six total knee replacement (TKR) subjects perfoming level walking and squatting. The OpenSim platform was used to scale a generic model, perform inverse kinematics, inverse dynamics, static optimization, and joint reaction force analysis to calculate the KCFs.

Article Snippet: OpenSim (version 3.3) was used to simulate the measured movements and predict KCFs.

Techniques:

Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle energetics (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).

Journal: PLoS ONE

Article Title: Stretching Your Energetic Budget: How Tendon Compliance Affects the Metabolic Cost of Running

doi: 10.1371/journal.pone.0150378

Figure Lengend Snippet: Simulated muscle activations, fiber lengths, and fiber velocities (top row) and outputs from our model of muscle energetics (bottom row) for the right medial gastrocnemius (a) and soleus (b) muscles are shown over the gait cycle. Our model of muscle energetics predicted the rate of heat generation due to sarcoplasmic reticular ion transport and actin–myosin interaction (activation and maintenance heat rate), the rate of heat generation due to shortening and lengthening of the fibers, and the mechanical power of the fibers . The mean (line) and standard deviation (shaded region) are shown for the seven rearfoot-striking subjects when low (2% strain at F max ; orange) and high (10% strain at F max ; blue) tendon compliances were used. When tendons were very compliant, the soleus fibers were operating nearly isometrically during stance, thereby reducing the average shortening and lengthening heat rate predicted by the energetics model (from 128 to 61 mW/kg). In contrast, the medial gastrocnemius fibers were operating far from their optimal lengths during stance when tendons were very compliant, thereby requiring greater activation to generate a similar plantarflexion moment and increasing the average activation and maintenance heat rate (from 38 to 57 mW/kg).

Article Snippet: Our muscle energetics model is available in OpenSim 3.3, an open-source software platform for modeling and simulation of movement.

Techniques: Muscles, Activation Assay, Standard Deviation