ArticleProcedia IUTAM
OpenSim: a musculoskeletal modeling and simulation framework for
Article in Procedia IUTAM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
92 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Bridging the sim2real gap. Investigating deviations between experimental motion measurements and musculoskeletal simulation results-a systematic review.Frontiers in bioengineering and biotechnology · 2024Pooled it
- Modelling the interaction between wearable assistive devices and digital human models-A systematic review.Frontiers in bioengineering and biotechnology · 2022Pooled it
- Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.Journal of biomechanical engineering · 2015Guideline
- Real-Time Prediction of Lower-Limb Joint Kinematics, Kinetics, and Ground Reaction Force Using Wearable Sensors and Machine Learning.Sensors (Basel, Switzerland) · 2026Article
- Functional Differences in Muscle Architecture Across the Pelvis and Hind Limb of Primates.American journal of biological anthropology · 2026Article
- Biomechanical Simulations Informed by Multimodal Measurements Link Symptoms to Glenohumeral Joint Forces Across Healthy and Pathological Rotator Cuffs.Annals of biomedical engineering · 2026Article
- A Tightly Coupled Multibody Dynamics and Multi-Sensor Fusion Algorithm for Simultaneous Kinematics and Kinetics Estimation.Sensors (Basel, Switzerland) · 2026Article
- Do we need medical imaging-informed musculoskeletal models for simulations in healthy adults? A new workflow based on magnetic resonance imaging highlights the importance of personalized geometry.PLoS computational biology · 2026Article
- Lower limb exoskeletons for older adults: key assistance parameters and evaluation of ankle assistive strategies via musculoskeletal modelling.Frontiers in sports and active living · 2026Article
- Benchmarking Neural Network Personalized Musculoskeletal Hand Models Against Current Personalization Standards Using Experimental Magnetic Resonance Imaging and Fine-Wire Electromyography.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Lower limb intelligent rehabilitation robot based on human-gait coupling, spatiotemporal gait sensing, and fuzzy PID control.Scientific reports · 2025Article
- Patient-specific musculoskeletal modeling to enhance preoperative planning for pelvic fracture reduction.Communications medicine · 2025Article
- Embodied sensorimotor control: computational modeling of the neural control of movement.ArXiv · 2025Article
- A PRISMA systematic review through time on predictive musculoskeletal simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Chasse-Step and One-Step Footwork Reported Different Biomechanical Profiles in Elite Table Tennis Athletes.Journal of sports science & medicine · 2025Article
- Controlling Negative and Positive Power for Efficiency Enhancement and Muscle Strain Mitigation During Squatting with a Portable Knee Exoskeleton.Annals of biomedical engineering · 2025Article
- Contributions of External, Muscle, and Ligament Forces to Tibiofemoral Contact Loads in Patients with Knee Osteoarthritis and Healthy Individuals.Bioengineering (Basel, Switzerland) · 2025Article
- The impact of neck pain and movement performance on the interarticular compressive force of the cervical spine: a cross-sectional study based on OpenSim.Journal of neuroengineering and rehabilitation · 2025Article
- Application of Wearable Insole Sensors in In-Place Running: Estimating Lower Limb Load Using Machine Learning.Biosensors · 2025Article
- CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation.Computational and structural biotechnology journal · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Movement science is driven by observation, but observation alone cannot elucidate principles of human and animal movement. Biomechanical modeling and computer simulation complement observations and inform experimental design. Biological models are complex and specialized software is required for building, validating, and studying them. Furthermore, common access is needed so that investigators can contribute models to a broader community and leverage past work. We are developing OpenSim, a freely available musculoskeletal modeling and simulation application and libraries specialized for these purposes, by providing: musculoskeletal modeling elements, such as biomechanical joints, muscle actuators, ligament forces, compliant contact, and controllers; and tools for fitting generic models to subject-specific data, performing inverse kinematics and forward dynamic simulations. OpenSim performs an array of physics-based analyses to delve into the behavior of musculoskeletal models by employing Simbody, an efficient and accurate multibody system dynamics code. Models are publicly available and are often reused for multiple investigations because they provide a rich set of behaviors that enables different lines of inquiry. This report will discuss one model developed to study walking and applied to gain deeper insights into muscle function in pathological gait and during running. We then illustrate how simulations can test fundamental hypotheses and focus the aims of in vivo experiments, with a postural stability platform and human model that provide a research environment for performing human posture experiments
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.