Musculoskeletal shoulder models: a technical review and proposals for research foci

• Published in: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Vol. 227; no. 10; p. 1041
• Main Authors: Prinold, Joe A I, Masjedi, Milad, Johnson, Garth R, Bull, Anthony M J
• Format: Journal Article
• Language: English
• Published: England 01-10-2013
• Subjects: Computer Simulation; Humans; Models, Biological; Movement - physiology; Muscle Contraction - physiology; Muscle, Skeletal - physiology; Range of Motion, Articular - physiology; Shoulder - anatomy & histology; Shoulder - physiology; kinematics; muscle force; Upper limb; inverse dynamics; scapula
• ISSN: 2041-3033
• DOI: 10.1177/0954411913492303

Musculoskeletal shoulder models allow non-invasive prediction of parameters that cannot be measured, particularly the loading applied to morphological structures and neurological control. This insight improves treatment and avoidance of pathology and performance evaluation and optimisation. A lack of appropriate validation and knowledge of model parameters' accuracy may cause reduced clinical success for these models. Instrumented implants have recently been used to validate musculoskeletal models, adding important information to the literature. This development along with increasing prevalence of shoulder models necessitates a fresh review of available models and their utility. The practical uses of models are described. Accuracy of model inputs, modelling techniques and model sensitivity is the main technical review undertaken. Collection and comparison of these parameters are vital to understanding disagreement between model outputs. Trends in shoulder modelling are highlighted: validation through instrumented prostheses, increasing openness and strictly constrained, optimised, measured kinematics. Future directions are recommended: validation through focus on model sub-sections, increased subject specificity with imaging techniques determining muscle and body segment parameters and through different scaling and kinematics optimisation approaches.