ArticleMedical & biological engineering & computing2011
Development of a comprehensive musculoskeletal model of the shoulder and elbow.
Article in Medical & biological engineering & computing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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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.
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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.
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Who cites it
30 citing papers in PubMed.
- Changes in propulsion technique and shoulder complex loading following low-intensity wheelchair practice in novices.PloS one · 2018Trial
- A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis.Annals of biomedical engineering · 2016Trial
- Shoulder Kinematic and Muscle Activity Compensations to Scapular Stabilizer Weakness: An Optimal Control Framework.Annals of biomedical engineering · 2026Article
- Feedback parameters for a closed-loop multiple-input multiple-output model of the upper limb.PLoS computational biology · 2025Article
- Modeling the future of shoulder arthroplasty.JSES international · 2025Article
- Personalization of closed-chain shoulder models yields high kinematic accuracy for multiple motions.Frontiers in bioengineering and biotechnology · 2025Article
- A biomechanical model for concomitant functioning of neck and shoulder: a pilot study.Scientific reports · 2024Article
- Biomechanical modeling for the estimation of muscle forces: toward a common language in biomechanics, medical engineering, and neurosciences.Journal of neuroengineering and rehabilitation · 2023Review
- Article
- The effects of anatomical errors on shoulder kinematics computed using multi-body models.Biomechanics and modeling in mechanobiology · 2022Article
- A Matlab toolbox for scaled-generic modeling of shoulder and elbow.Scientific reports · 2021Article
- Exploring the functional morphology of the Gorilla shoulder through musculoskeletal modelling.Journal of anatomy · 2021Article
- Effect of rotator cuff muscle activation on glenohumeral kinematics: A cadaveric study.Journal of biomechanics · 2020Article
- Scapulothoracic rhythm affects glenohumeral joint force.JSES open access · 2019Article
- Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder.Annals of biomedical engineering · 2019Article
- Modeling a rotator cuff tear: Individualized shoulder muscle forces influence glenohumeral joint contact force predictions.Clinical biomechanics (Bristol, Avon) · 2018Article
- In Vivo Assessment of Exercise-Induced Glenohumeral Cartilage Strain.Orthopaedic journal of sports medicine · 2018Article
- A Muscle-Specific Rehabilitation Training Method Based on Muscle Activation and the Optimal Load Orientation Concept.Applied bionics and biomechanics · 2018Article
- sEMG-assisted inverse modelling of 3D lip movement: a feasibility study towards person-specific modelling.Scientific reports · 2017Article
- Finite element models of the human shoulder complex: a review of their clinical implications and modelling techniques.International journal for numerical methods in biomedical engineering · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Delft Shoulder and Elbow Model (DSEM), a musculoskeletal model of the shoulder and elbow has been extensively developed since its introduction in 1994. Extensions cover both model structures and anatomical data focusing on the addition of an elbow part and muscle architecture parameters. The model was also extended with a new inverse-dynamics optimization cost function and combined inverse-forward-dynamics models. This study is an update on the developments of the model over the last decade including a qualitative validation of the different simulation architectures available in the DSEM. To validate the model, a dynamic forward flexion motion was performed by one subject, of which the motion data and surface EMG-signals of 12 superficial muscles were measured. Patterns of the model-predicted relative muscle forces were compared with their normalized EMG-signals. Results showed relatively good agreement between forces and EMG (mean correlation coefficient of 0.66). However, for some cases, no force was predicted while EMG activity had been measured (false-negatives). The DSEM has been used and has the potential to be used in a variety of clinical and biomechanical applications.
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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.