Elena Seminati

I joined the University of Bath in September 2014 as Teaching fellow. Since November 2014 I have been a research associate within the Sport, Health and Exercise Science Research Group.

I obtained the Laurea degree (BSc plus MSc) in Biomedical Engineering (2007) from Politecnico di Milano and a PhD degree in Human Physiology (2010) from Università degli Studi di Milano.

I remained in Milano to undertake two post-doctoral research positions (2010-2014), working on human locomotion and injury prevention in the volleyball game and in 2012 I was awarded the 'Young Investigator Award' at the 17th Annual European College of Sport Science (ECSS)-Congress in Bruges, Belgium.

I am interested in clinical and sport biomechanics. My research has been focused on the relation between energetics and mechanics of different forms of locomotion and sports. I have been working on shoulder injury prevention in volleyball players, biomechanics of cycling and pathological locomotion in osteoarthritis affected patients and cervical spine injury prevention in rugby activities. I’m involved now in a project entitled ‘Mapping Amputees residuum changes’. This research aims to generate an accurate measure of daily and long term residual limb volume changes in lower limb amputees, providing data, which can immediately be utilised for patients’ rehabilitation and adaptable prosthetic liners design.

I recently started my new current role as a Research Associate working within the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), who aims to develop advanced methods to track and analyse human motion without the need to attach markers.

My research approach includes both experimental sessions and musculoskeletal modelling of the human motion, in order to establish risk factors, prevent injuries/illness and improve performance.

Research interests

• Lower limb amputees
• Pathological locomotion
• Sport injury prevention
• Musculoskeletal simulation
• Motion analysis

Current projects

• Mapping residuum volume in amputees
• Markerless motion analysis for clinical assessment