Stroke is a leading cause of disability in the UK. The long-term monitoring and evaluation of stroke is critical. While there is no prompt cure for most of stroke conditions, there are a number of treatments that can improve patients’ long-term health and quality of life. However, at present, there is no technology that can achieve effective, regular, long-term monitoring and evaluation of post-stroke rehabilitation.
The emergence of functional near-infrared spectroscopy (fNIRS) and its extension Diffuse Optical Tomography (DOT) provide an alternative means of achieving a wearable, lightweight, low-cost neuroimaging technology. Moreover, simultaneous measurement of electrical and haemodynamic activity in the brain (using a combination of fNIRS/DOT and electroencephalography (EEG)) has been used to assess post stroke recovery, but regular, repeated, long-term monitoring and evaluation for post-stroke rehabilitation has yet been demonstrated.
The aim of this PhD project is to investigate new-generation, integrated, wearable neuroimaging technologies (DOT+EEG) for post-stroke rehabilitation. Multiple neuroimaging modalities including fNIRS/DOT, and EEG will be combined into a single imaging system with high spatial-temporal resolution and strong wearability, which can provide effective long-term, regular monitoring and evaluation for stroke patients.
This PhD project is funded with UK rate scholarship, non-UK students are welcome to apply if fee difference can be covered by their own funding sources. This PhD project is expected to start by 1st Sept 2022.
Applicants must have obtained or be about to obtain a First (desirable) or Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of Electronic Engineering, or Biomedical Engineering.
The successful candidate should have relevant experience in wearable fNIRS/DOT technologies, embedded system development, and experimental work with human volunteers. Examples of any relevant experience should be highlighted in the application.
How to Apply
To be considered for this project the applicants must directly send their applications to Dr Hubin Zhao ([Email Address Removed]) by 4th Jan 2022, and the application documents include: latest CV, transcripts, and 1-page statement to demonstrate why the applicants think they are suitable for this project and how can they contribute to this project.