Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review

Over the past decade, there has been a rapid increase in applications of multibody system dynamics to the predictive simulation of human movement. Using predictive “what-if” human dynamic simulations that do not rely on experimental testing or prototypes, new medical interventions and devices can be...

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Bibliographic Details
Published inMultibody system dynamics Vol. 58; no. 3-4; pp. 299 - 339
Main Authors Febrer-Nafría, Míriam, Nasr, Ali, Ezati, Mahdokht, Brown, Peter, Font-Llagunes, Josep M., McPhee, John
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.08.2023
Springer Nature B.V
Subjects
Automotive Engineering
Control
Control methods
Cost function
Dynamical Systems
Electrical Engineering
Engineering
Ergonomics
Human motion
Mechanical Engineering
Multibody systems
Optimal control
Optimization
Simulation
System dynamics
Vibration
Biomechanics
Neuromusculoskeletal system models
Review
Optimal control
Human movement
Predictive dynamic simulation
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Summary:Over the past decade, there has been a rapid increase in applications of multibody system dynamics to the predictive simulation of human movement. Using predictive “what-if” human dynamic simulations that do not rely on experimental testing or prototypes, new medical interventions and devices can be developed more quickly, cheaply, and safely. In this paper, we provide a comprehensive review of research into the predictive multibody dynamic simulation of human movements, with applications in clinical practice, medical and assistive device design, sports, and industrial ergonomics. Multibody models of human neuromusculoskeletal systems are reviewed, including models of joints, contacts, and muscle forces or torques, followed by a review of simulation approaches that use optimal control methods and a cost function to predict human movements. Modelling and optimal control software are also reviewed, and directions for future research are suggested.
ISSN:1384-5640
1573-272X
DOI:10.1007/s11044-022-09852-x