Research
Producing computational models of the human musculoskeletal system to describe and explain muscle and joint function during functional activities.
Our research is aimed at combining novel imaging methods, gait analysis experiments and computational models of the human musculoskeletal system to describe and explain muscle and joint function during functional activities such as walking. Experimental, theoretical and computational tools are used to improve the quality of assessment and understanding of various musculoskeletal conditions.
We have developed a unique computer-controlled Mobile Biplane X-ray (MoBiX) Imaging System to track human body movement for high-speed imaging of 3D joint motion.
Current Research projects
- Improving Hip Dyslpasia Outcomes for Children and Adolescents
- Biomechanics of reverse Shoulder Arthoplasty
Recent Projects and Publications
- Recent developments in computational modelling of the knee (Journal Article)
- Predictive Models to Study Neuromuscular Control of Walking in Older People (Research Project)
- Femoroacetabular Impingement and Early Arthritis (Grant)
- Final Frontier in Computational Modelling of Movement (Grant)
- Equine Limb Injury Prevention Research Program (2020-2023)
- Tibiofemoral Slip Velocity in Total Knee Arthroplasty is Design-Invariant but Activity-Dependent (Journal Article)
- Kinematic function of knee implant designs across a range of daily activities (Journal Article)
- Optimizing Muscle-Tendon Lengths in Reverse Total Shoulder Arthroplasty: Evaluation of Surgical and Implant-Design-Related Parameters. (Journal Article)