PostDoc Dr Morten Bilde Simonsen

A musculoskeletal model is a computational model that encompasses a human skeleton consisting of bones connected by joints. These models can estimate internal loading within the joints and muscles during different movement tasks, which would be impossible to measure since it would require sensors inserted into the ligaments and joints.

How the brain selects muscles to perform a task remains unclear. Therefore, we implement different assumptions in the models, e.g., the model’s muscle properties are commonly scaled based on the body mass index. Furthermore, the contribution from the various muscles is determined based on the assumption that one move as energy-efficiently as possible. This assumption is almost certainly not applicable if one, e.g., limps due to discomfort and pain when moving. Therefore, additional development into making the musculoskeletal models more person-specific is required to improve their accuracy and prediction capabilities.

Therefore, this project aims to create a method for the individual’s maximum strength to scale muscle parameters. Furthermore, the project aims to investigate the influence of pain on muscle recruitment strategies and implement it into the models. This project will significantly contribute to a better understanding of how muscle strength and recruitment affect the progression of knee osteoarthritis. Furthermore, the project will make the musculoskeletal models more person-specific, thereby improving the model’s accuracy on an individual level. Advancements in this field open the door for various potential improvements within virtual treatment, implant design and decision-making.

Morten holds a PhD in Biomedical Engineering and a Master’s in Sports Technology from Aalborg University. His interest is in biomechanics, neuromechanics, exercise, and pain. You can read more about Morten’s contribution on Aalborg University’s website.