FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW

Usability testing for analysis of three-dimensional knee kinematics during gait

   Department of Mechanical Engineering

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Dr Ziyun Ding, Dr G Cummins  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Different pathologies such as osteoarthritis (OA) and anterior cruciate ligament (ACL) rupture have been shown to alter knee kinematics during gait; this implies that gait analysis may be used to distinguish between different pathologies, measure their progression and evaluate the value of different treatments. Traditional approaches to assessing gait function require that patients make several visits to the clinic, which is expensive and time-consuming for patients, clinicians and the health care system. Ideally, clinicians will be able to gather reliable kinematic data when patients are at home or in the community. While the advent of inexpensive wearable technology such as wireless inertial measurement units (IMUs) could make a remote assessment of gait function and remote delivery of treatment a possibility, such capabilities have not yet become a reality.

The PhD project will build upon the past work of our group in IMU-driven biomechanics modelling, with the ultimate goal to develop an IMU-based clinical tool to assess gait for patients with pathological knee (OA or ACL rupture). Employing core equipment in the Bio-Medical Engineering Research Lab including the camera-based motion capture system and wireless IMU/electromyography sensors, alongside advanced in-house musculoskeletal modelling technology, the proposed project will push the boundaries of exciting technology to achieve: 1) a reliable measurement of knee kinematics by attaching IMU sensors with minimal technical efforts and training; 2) automatic calibration of patient-specific kinematics models to measure functional alignment and kinematics, supporting clinical decision making. Our novel approach has great potential to assist digital clinical consultancy and free up pressure on the healthcare system.

The applicant must have an excellent undergraduate degree (1st class honours degree) in Mechanical, Electrical or Biomedical Engineering. Ideally, they would have practical experience in computational programming (e.g., MATLAB, C++ or Python). Interest in biomechanics/wearable technology is desirable. The applicant should be willing to acquire new skills, training will be provided in the measurement of human movement (e.g., motion capture and force platform); use of wearable technology for physical activity monitoring and biomechanics modelling.

The University of Birmingham is a QS Top 100 University that is uniquely positioned to benefit any applicant interested in a future career in healthcare technology. The University emphasises the clinical translation of innovative research to ensure real-world impact through the Healthcare Technologies Institute and the Precision Healthcare Technology Accelerator. The School of Engineering also has an established Biomedical Engineering research group with links to several SME and multinational medical device companies.

Informal enquiries are encouraged and should be addressed to Dr Ziyun Ding at the School of Engineering ([Email Address Removed])

Funding Notes

Students are encouraged to contact Dr Ding at the earliest opportunity to apply for scholarships from the School of Engineering. It should be noted that the award of these scholarships is highly competitive.

How good is research at University of Birmingham in Engineering?

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs