Regaining Control: Investigating the cause of knee hyperextension during stance phase in predictive simulation of running

Regaining Control: Investigating the cause of knee hyperextension during stance phase in predictive simulation of running

Janssen, Floor (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Biomechatronics & Human-Machine Control)

van der Kruk, E. (mentor)
de Vos, Robert-Jan (graduation committee)
van de Ruit, M.L. (graduation committee)

Delft University of Technology

Biomedical Engineering

2024-01-30

Running is one of the most practiced sports worldwide, offering numerous health benefits, but also carrying a risk of injury, mainly at the knee and ankle joints. The origin of running injuries is not fully understood. With predictive neuromusculoskeletal simulations, more insight could be gained into the biomechanical mechanisms that may lead to injuries.
However, in predictive simulations of gait, hyperextension of the knee during stance phase is often encountered. This limits their applicability in research into running-related injuries. It is unclear what causes these unrealistic kinematics, with various studies coming to conflicting conclusions.
This study aims to identify the cause of knee hyperextension in predictive models of running and subsequently, to determine the essential modeling elements for accurately simulating stance knee flexion.

A structured analysis was conducted to investigate the potential impact of the model components within the predictive simulation framework. This framework was divided into four main categories: the objective function, the musculoskeletal (MSK) model, the foot contact model, and the controller. The analysis resulted in numerous hypotheses regarding the element that might be responsible for the simulation of realistic knee kinematics. SCONE, an open-source package for neuromusculoskeletal predictive simulation, was used to test the effect of each hypothesis on the simulated running kinematics. The simulation outcomes were compared to experimental data to assess possible improvements.

The results demonstrate that, in contrast to previous literature, adaptations to the objective function, the MSK model, and the foot contact model have negligible effects on predicted running kinematics. This leads to the conclusion that the controller is essential to focus on when improving knee kinematics. Due to time constraints, multiphase control could not be implemented. Therefore, the exact reflex pathways and phase transitions should be further investigated for the predictive simulation of running before implementation is possible.

predictive simulation
Neuromuscular modeling
Running Gait

http://resolver.tudelft.nl/uuid:46e57c45-a1b7-486c-b644-d9c96de35284

Student theses

master thesis

© 2024 Floor Janssen