opensim plugin (OpenSim Ltd)
90
Structured Review
OpenSim Ltd
opensim plugin
Opensim Plugin, 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+customized+plugin/opensim+plugin/pmc04885751-80-13-14
Average 90 stars, based on 1 article reviews
Opensim Plugin, 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+customized+plugin/opensim+plugin/pmc04885751-80-13-14
Average 90 stars, based on 1 article reviews
opensim plugin - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: EMG-Assisted Muscle Force Driven Finite Element Model of the Knee Joint with Fibril-Reinforced Poroelastic Cartilages and Menisci Article Snippet: Muscle lines of action, as well as effective moment arms, were extracted utilizing an Article Title: An open-source plugin for OpenSim ® to model the non-linear behaviour of dense connective tissues of the human knee at variable strain rates. Article Snippet: Accepted Manuscript An open-source plugin for OpenSim® to model the non-linear behaviour of dense connective tissues of the human knee at variable strain rates Arnab Sikidar, Dinesh Kalyanasundaram PII: S0010-4825(19)30189-1 DOI: https://doi.org/10.1016/j.compbiomed.2019.05.021 Reference: CBM 3320 To appear in: Computers in Biology and Medicine Received Date: 18 March 2019 Revised Date: 27 May 2019 Accepted Date: 29 May 2019 Please cite this article as: A. Sikidar, D. Kalyanasundaram, An open-source plugin for OpenSim® to model the non-linear behaviour of dense connective tissues of the human knee at variable strain rates, Computers in Biology and Medicine (2019), doi: https://doi.org/10.1016/j.compbiomed.2019.05.021.. This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript. Article Title: Isometric Plantarflexion Moment Prediction Based on a Compartment-specific HD-sEMG-driven Musculoskeletal Model Article Snippet: Objective: electromyogram (EMG)-driven musculoskeletal models have been widely used to investigate human movements while existing EMG-driven models commonly neglect regional heterogeneity in anatomy and activation within a skeletal muscle.. To consider neuromuscular compartment anatomy and activation, a subjectand compartment-specific EMG-driven model was developed for isometric plantarflexion moment prediction.. Methods: the model was hill-type consisting of gastrocnemius medialis, gastrocnemius lateralis, and soleus around the ankle joint, and each muscle was discretised into four compartments. Article Title: A multi-scale modelling framework combining musculoskeletal rigid-body simulations with adaptive finite element analyses, to evaluate the impact of femoral geometry on hip joint contact forces and femoral bone growth Article Snippet: The muscle attachment and muscle lines of action were obtained from a previously developed Article Title: Variability in tibia-fibular geometry is associated with increased tibial strain from running loads Article Snippet: Muscle forces and lines of action were extracted in the tibial coordinate system using a Article Title: Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review Article Snippet: Supplementary Table contains summary of the studies about the MSK models and Article Title: Estimation of forces on anterior cruciate ligament in dynamic activities. Article Snippet: In this work, a nonlinear strain rate dependent plugin developed for the OpenSim® platform was used to estimate the instantaneous strain rate (ISR) and the forces on the ACL’s anteromedial (aACL) and posterolateral (pACL) bundles during walking and sudden change of direction of running termed as ‘plant-and-cut’ (PC).. The authors obtained the kinematics data for walking via optical motion capture.. PC movements, along with running kinematics, were obtained from the literature. |