Back to search results

PhD Studentship: Wearable Sensor-Based Rehabilitation Exercise Assessment Platform for use in Stroke Rehabilitation

University of Essex - School of Computer Science and Electronic Engineering

Qualification Type: PhD
Location: Essex
Funding for: UK Students, EU Students, International Students
Funding amount: £15,009
Hours: Full Time
Placed On: 2nd September 2019
Closes: 28th October 2019

Application deadline

Monday 28 October 2019

Lead department

School of Computer Science and Electronic Engineering (the co-department is the School of Sport, Rehabilitation and Exercise Sciences) 

Funding information

The award consists of a full Home/EU fee waiver or equivalent fee discount for overseas students (see for further fee details), a doctoral stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£15,009 in 2019-20), plus £2,500 training bursary via Proficio funding, which may be used to cover the cost of advanced skills training including conference attendance and travel. 

Project overview

This interdisciplinary studentship brings together expertise from the Post-stroke Rehabilitation with the Intelligent Embedded Systems and Environments research group also leveraging practical support from the Stroke Unit, Colchester Hospital, East Suffolk and North Essex NHS Foundation Trust. This collaboration will enable a significant scientific impact potential for this timely research endeavour. Therefore, we are looking for a highly motivated and interdisciplinary-minded student, who has an excellent computer science, electronics or related UG/MSc degree and is keen to work on relevant research in the area of embedded intelligent systems and machine learning algorithms for post-stroke rehabilitation.

Stroke is a common disabling cerebrovascular disease, leaving its survivors with significant residual physical, cognitive, and psychological impairments. In the UK, stroke is also a leading cause of death and disability with about 32,000 stroke related deaths in England each year. According to recent statistics published by public health England, there are more than 100,000 stroke cases per year in the UK, which is equivalent to every stroke per five minutes, and there are over 1.2 million stroke survivors in the UK. Among them, 30% will likely have another stroke after the first doubling the risk of dying in the next two years. Therefore, one of the major aims of patient care is to carry out rehabilitation processes to allow motor recovery of the body including constraint-induced movement therapy. This rehabilitation process needs to be supported with well-coordinated multidisciplinary stroke units as well as the provision of early supported discharge teams.

In the current rehabilitation process, there are persistent challenges in both patients and healthcare providers. The main motivation of this project is the need for an effective post-stroke rehabilitation system that provides 24/7 assistance to stroke survivors as well as healthcare providers at home or in hospital environments. Both stroke patients and healthcare providers could benefit from ICT-enabled artificial intelligent techniques, together with clear and on-time guidance coupled with support on how to improve the patient’s rehabilitation treatment and ultimately, prevent stroke recurrence. 

Primary supervisor

  • Dr Xiaojun Zhai is a Lecturer in the Embedded Intelligent Systems Laboratory in the School of Computer Science and Electronic Engineering at Essex. 


  • Dr Victor Utti is a Lecturer (Assistant Professor) in Neurological Physiotherapy in the School of Sport, Rehabilitation and Exercise Sciences at Essex.
  • Professor Jo Jackson is the Director of Research and Professor of Physiotherapy in the School of Sport, Rehabilitation and Exercise Sciences at Essex.
  • Professor Klaus D. McDonald-Maier is the Head of the Embedded and Intelligent Systems Laboratory in the School of Computer Science and Electronic Engineering at Essex. 

For more information and details on how to apply visit our website.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):


PhD tools
More PhDs from University of Essex

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge