Coventry University Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Imperial College London Featured PhD Programmes
University College London Featured PhD Programmes
University of Bristol Featured PhD Programmes

Developing a wearable neural prosthetic for management of knee osteoarthritis

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

Click here to search FindAPhD.com for PhD studentship opportunities
  • Full or part time
    Dr Erfan Shahabpoor Ardakani
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (European/UK Students Only)
    Competition Funded PhD Project (European/UK Students Only)

Project Description

In knee osteoarthritis, the joint cartilage wears away and the bones of the joints rub more closely against one another, resulting in pain, swelling, stiffness, decreased ability to move and, sometimes, the formation of bone spurs.

Osteoarthritis (OA) is the most common cause of mobility disorder in the UK, affecting more than 1 in 5 adults. Nearly half of individuals diagnosed with OA experience significant pain and disability that interfere with their performance of daily tasks. The knee is the most commonly affected joint, with an approximately 45% lifetime risk of symptomatic OA.

This project uses the wearable gait lab system in the Human-Environment Advanced Dynamics (HEAD) Laboratory. The aim of the project is to use the data from this system (the system can be modified if needed) to monitor the stresses in affected joint (Knee) and to use this data to re-train the gait to minimise the stresses in the joint.

The PhD candidate will be able to use the state-of-the-art experimental and technical facilities the HEAD laboratory of the University of Bath including LIDAR-based movement monitoring systems, optical motion captures, force plates, instrumented treadmills, wearable inertial measurement units, and EMG, EEG and ECG monitoring systems, etc.

Informal enquiries should be directed to Dr Erfan Shahabpoor Ardakani ([Email Address Removed])

The successful applicant will ideally have graduated (or be due to graduate) with an undergraduate Masters first class degree and/or MSc distinction (or overseas equivalent). The successful candidate ideally (but not essential) will be familiar with gait analysis, gait/physiological signal processing, computational modelling and a programming language such as Matlab or Pyton. English language entry requirements must be met at point of application.

Formal applications should be made via the University of Bath’s online application form for a PhD in Architecture & Civil Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.

https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUAR-FP01&code2=0013

A full application must be submitted by the application deadline, including all supporting documents, to enable review.

More information about applying for a PhD at Bath may be found here:
http://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/

Anticipated start date: 30 September 2019

Funding Notes

Funding will cover Home/EU tuition fees, a maintenance stipend (£14,777 pa (2018/19 rate)) and a training support fee of £1,000 per annum for 3.5 years. Early application is strongly recommended.

How good is research at University of Bath in Architecture, Built Environment and Planning?

FTE Category A staff submitted: 28.38

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

Click here to see the results for all UK universities


FindAPhD. Copyright 2005-2019
All rights reserved.