Digital scoring of severity in anterior/posterior circulation strokes

This project mainly involves app development for identification and automatic scoring of severity in anterior/posterior circulation stroke. We aim to study all aspects of stroke symptoms and current standards of objective assessments to explore if this is feasible to use smart phone technologies to make early diagnosis for stroke. For example the vibratory mode of mobile phone can be used for quantifying sensory deficit such as facial palsy, accelerometer and gyros can be used for arm and leg balance/coordination assessment, signal processing techniques can be used for detecting slur in voice and image processing for vision disturbance assessment. Early recognition of posterior circulation stroke may prevent disability and save lives. The history of scores can then be utilized to monitor the effectiveness of treatment methods and quantify a patient’s improvement or decline.

How to apply:

Applications are made via Bournemouth University’s website by clicking ’institution website’ button. If you have an enquiry about this project please contact us via the ’Email institution’ button, however your application will only be processed once you have submitted an application form as opposed to emailing your CV to us.

 Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

• Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
• An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.