Qualification Type: | PhD |
---|---|
Location: | Leeds |
Funding for: | UK Students |
Funding amount: | Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years |
Hours: | Full Time |
Placed On: | 13th March 2024 |
---|---|
Closes: | 29th April 2024 |
Closing Date: 29 April 2024 at 23:59
Eligibility: UK Applicants only
Funding
EPSRC Doctoral Training Partnership Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years.
Lead Supervisor’s full name and email address
Professor Steven Freear – s.freear@leeds.ac.uk
Co-supervisor name: Dr David Cowell – d.m.j.cowell@leeds.ac.uk
Project summary
Background
Do you have an interest electronics / robotics / sensors? Would you like to work as part of a multidisciplinary team to realise a revolutionary step in orthopaedic surgery?
Around 10-15% of knee joint replacements fail by 10 years needing revision which is costly and usually associated with inferior outcome. Number of revisions in the young and active patients is up to 15-times higher. New implants are developed for improving function and longevity. However, in-vitro testing provides limited and at times misleading information. Past two decades have witnessed introduction of implants which have not lived up to their expectations and associated with higher failure rates. In-vivo testing and early diagnosis of a “failing joint” are essential to understand which technologies could be introduced into routine practice.
Hypothesis
This PhD will study aspects of a self-contained instrumented medical implant capable of measuring various physical parameters (e.g. force, motion and temperature) the device is targeted at joint replacement (e.g. hip and knee). Possible applications include: early detection of poorly performing implants, assist patients interaction with their recovery, This will provide improved post-operative care with greater convenience to the patient and reduced burden on healthcare services.
Aims and Objectives
Entry requirements
First Class UK Bachelor (Honours) or equivalent
Subject Area: Electronic & Electrical Engineering
Keywords
Medical Electronics, Medical Robotics, Embedded Systems, Medical Sensors, Sensor Design
Type / Role:
Subject Area(s):
Location(s):