ArticleJournal of biomechanics2015
CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.
Article in Journal of biomechanics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04778852 (Quantitative Assessment of Training Effects Using a Wearable Exoskeleton in Parkinson Disease Patients), which is not on this map. Cited by 110 papers, 2 of them syntheses that pooled it.
What it found
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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.
Quantitative Assessment of Training Effects Using a Wearable Exoskeleton in Parkinson Disease Patients
Who cites it
110 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review.Journal of neuroengineering and rehabilitation · 2024Pooled it
- A Systematic Review of the Associations Between Inverse Dynamics and Musculoskeletal Modeling to Investigate Joint Loading in a Clinical Environment.Frontiers in bioengineering and biotechnology · 2020Pooled it
- The Effect of Minimalist Versus Motion Control Shoes on Patellofemoral Joint Forces in Adolescents With Patellofemoral Pain During Running: A Randomized Crossover Study.The American journal of sports medicine · 2026Trial
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- Trial
- Protocol for a multi-centre randomised controlled trial comparing arthroscopic hip surgery to physiotherapy-led care for femoroacetabular impingement (FAI): the Australian FASHIoN trial.BMC musculoskeletal disorders · 2017Trial
- Valgus bracing can relocate cartilage contact pressure away from bone marrow lesions and full-thickness cartilage defects in varus-malaligned medial knee osteoarthritis.Osteoarthritis and cartilage open · 2026Article
- Estimating Muscle Parameters via Hierarchical Bayesian Neuromechanics.bioRxiv : the preprint server for biology · 2026Article
- Effects of Pre-Competition Neuromuscular Electrical Stimulation Activation on Forward Lunge Performance and Neuromuscular Control in Squash Athletes: An Analysis Based on Timing and Electromyographic Sensors.Sensors (Basel, Switzerland) · 2026Article
- Joint Reaction Forces Decrease Following Total Knee Arthroplasty up to 12-Months Post-Surgery.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Exploring the effect of different neural strategies on the knee joint contact forces during walking in adults.Scientific reports · 2026Article
- A Non-Invasive Simplified Model for Estimating Lower Limb Muscle Forces During Slow Gait in Older Adults and Post-Stroke Individuals.Biomimetics (Basel, Switzerland) · 2026Article
- Reproducible Research: Computational Design of Personalized Clinical Treatments for Walking Impairments Using the Neuromusculoskeletal Modeling Pipeline.bioRxiv : the preprint server for biology · 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
- A forward dynamics framework for parameter optimization of the EMG-driven musculoskeletal model.Journal of neuroengineering and rehabilitation · 2026Article
- Is EMG Information Necessary for Deep Learning Estimation of Joint and Muscle Level States?IEEE transactions on bio-medical engineering · 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
- Evidence-informed methodological approaches for coupled neuromusculoskeletal-finite element analysis workflows in orthopaedic biomechanics.Frontiers in bioengineering and biotechnology · 2026Article
- Functional symmetrization of neuromotor modules during locomotor development in human infants.Communications biology · 2025Article
- Comparative analysis of the effects of blade plate retention versus removal on paediatric bone remodelling following proximal femoral osteotomy.Archives of orthopaedic and trauma surgery · 2025Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Personalized neuromusculoskeletal (NMS) models can represent the neurological, physiological, and anatomical characteristics of an individual and can be used to estimate the forces generated inside the human body. Currently, publicly available software to calculate muscle forces are restricted to static and dynamic optimisation methods, or limited to isometric tasks only. We have created and made freely available for the research community the Calibrated EMG-Informed NMS Modelling Toolbox (CEINMS), an OpenSim plug-in that enables investigators to predict different neural control solutions for the same musculoskeletal geometry and measured movements. CEINMS comprises EMG-driven and EMG-informed algorithms that have been previously published and tested. It operates on dynamic skeletal models possessing any number of degrees of freedom and musculotendon units and can be calibrated to the individual to predict measured joint moments and EMG patterns. In this paper we describe the components of CEINMS and its integration with OpenSim. We then analyse how EMG-driven, EMG-assisted, and static optimisation neural control solutions affect the estimated joint moments, muscle forces, and muscle excitations, including muscle co-contraction.
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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.