Exercise capacity testing is essential in the rehabilitation of people with lower limb loss, yet existing ergometers are often not well suited for this population. Common alternatives, such as arm crank or single leg ergometers, frequently fail to sufficiently challenge the cardiovascular system, limiting their clinical relevance. In this project, we develop an improved arm–leg ergometer specifically designed for exercise testing in people with limb loss.
Using advanced musculoskeletal computational modelling, we systematically simulate how changes in ergometer design influence movement patterns and exercise performance. This modelling based approach reduces reliance on multiple physical prototypes and enables informed design decisions early in the development process. Based on these simulations, an optimized ergometer design will be realised and experimentally validated through exercise capacity testing on a newly built prototype.
By integrating computational modelling with user centred experimental testing, the project aims to deliver a scientifically grounded workflow for ergometer redesign. Ultimately, this work contributes to the development of next generation rehabilitation devices that better support exercise testing and promote healthier, more active lives for people with lower limb deficiencies.
This project addresses a major gap in rehabilitation technology: the lack of valid and reliable exercise capacity testing for people with lower limb loss. Because existing ergometer solutions do not allow users to reach maximal cardiovascular effort, clinicians currently have limited tools to assess fitness and guide rehabilitation in this population.
Department of Human Movement Sciences
Internal postcode FA23
PO Box 998
9700 AZ Groningen
The Netherlands
Antonius Deusinglaan 1
9713 AV Groningen
building 3215, 3th floor
