Computational-Modelling to Enhance Ergometer Design for Patients with Limb Loss
To improve exercise testing and rehabilitation for patients with lower limb loss, a new public-private partnership between UMCG researchers and clinicians, and medical device companies (Umaco and Lode) has been established. This project explores the potential of advanced musculoskeletal computer modelling to optimize the design process of arm-leg ergometers, reducing the need for multiple physical prototypes. The efficiency of the design process will be evaluated by experimentally testing the validity of a newly built physical ergometer prototype on measures of exercise capacity.
Exercise capacity tests are critical to develop effective rehabilitation programs in patients with lower limb deficiencies. Yet, traditional ergometers, such as stationary bicycles, are unsuitable for people with lower limb loss. Current alternatives, like arm-crank or single-leg ergometers, fail to fully engage the cardiovascular system, making them less effective for exercise capacity assessments. With millions of people worldwide living with lower limb loss—and numbers expected to rise due to aging and chronic diseases—there is an urgent need for clinically valid exercise capacity tests. By improving ergometer design processes, this project contributes to improved rehabilitation outcomes and a healthier and more active life for people with lower limb deficiencies.
Instead of relying on costly and time-consuming trial-and-error physical prototype production and experimental testing, we will develop musculoskeletal computer models to simulate how changes in ergometer design affect measures of exercise capacity. This in silico approach allows us to refine the mechanical properties of the ergometer before building physical prototypes. The optimized design will be experimentally tested to ensure it meets end-user needs and improves rehabilitation outcomes.
The project aims to deliver a scientifically validated musculoskeletal modelling workflow for re-designing arm-leg ergometers and a user-friendly arm-leg ergometer prototype that better supports exercise capacity testing. This innovative approach not only accelerates ergometer design processes but can be transferred to design processes of other medical devices involving patients.
