Injuries and rehabilitation

In the joint loading group it is our aim to advance the understanding of lower limb joint loading in all types of locomotion through rigorous biomechanical investigation.

Our research helps innovate and validate advanced biomechanical techniques, develop and disseminate good research practice in biomechanical investigation, and to ultimately support mechanistic study of lower limb injuries, disorders or diseases, such as ACL injury in sports or osteoarthritis in frail populations. 

Our muscles and joints undergo stresses during the activities we do, whether that is walking to the shop, jogging around the park, or rapidly changing direction to avoid the defender during a game of football. These stresses can lead to slow adaptations of the structures around the bones or pose a threat of acute muscle or ligament injury. The research undertaken at LJMU focuses on both, specialising in accurate assessment of those stresses in all types of activity. 

A particular area of interest is the application of advanced techniques to measuring joint loading and (in)stability around hip, knee and ankle. We have developed a cluster-based biomechanical model that allows us to investigate lower limb kinematics and kinetics and we continue to undertake extensive validations of this and other models.

The use of functional joint axis definitions has been evaluated as well as the use of inverse kinematics solutions. We have also applied these techniques in clinical conditions such as knee osteoarthritis for calculating joint loading and cartilage stresses using personalised musculoskeletal models based on MRI and finite element methods.  

The in-depth knowledge gained with those advanced techniques is then used to interpret data acquired during standard clinical tests (for example single leg hop test) or field-based technologies (for example trunk mounted GPS systems).

It has also allowed us to build advanced screening tests, which can help assess progress during rehabilitation process, provide a pre-season screening in sports or predict the effects of different risk factors in musculoskeletal system pathologies such as osteoarhritis.

Primary contacts

  • Dr Mark Robinson
  • Dr Chelsea Oxendale
  • Prof. Mark Lake
  • Dr. Theo Bampouras
  • Prof Bill Baltzopoulos

Faq Items

Stair negotiation

Musculo-skeletal Health and Function of Children

Neuro-musculo-skeletal function and adaptations to exercise, disuse and ageing

Virtual rehabilitation

Clinical gait analysis in alkaptonuria

Artificial neural networks

Footwear biomechanics

Joint loading

Postural stability

Advanced statistics in biomechanics

Collaborations

We have a history of working collaboratively with a number of national and international higher education institutions, and our research relationships include partnerships with: the University of Western Australia, Catholic University of Leuven, University of Gent, Manchester Metropolitan University, Brunel University, Bangor University, University of Bradford, University of Hull, University of Liverpool, Laval University (Canada), Shinshu University (Japan), Griffith University (Australia) and Brock University (Canada).

External clinical collaborators

External industrial links

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