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About the Project

An important part of monitoring a patient’s health relies on particular metrics. Such metrics include heart rate, respiration rate, BMI (Body Mass Index), etc.. They are measured continuously over a duration of time, for example during hospital admissions, or at discrete sample points for example in the case of regular or irregular GP appointments. As an example of the latter case, a GP (General Practitioner or Family Physician) in the UK generally has only 10 minutes to assess a patient, discuss their condition, prescribe treatment and write up the case notes. As a result any procedures that could be conducted remotely and automatically has the potential to release the time of the GP and allow them to spend more time in discussion with the patient, etc.. Remote sensing could also be used to help identify very sick patients in a waiting room and alert staff. There is also potential applications to video consultations and in improving healthcare provision in developing countries.

This project will develop methods that can be used to automatically and remotely measure such metrics. It will focus on one or more of the theoretical, software or hardware aspects of the problem.


Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (2:1) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Prospective candidates for this project should have knowledge of at least one of the following fields :
• Signal processing
• Sensing and embedded systems
• Systems modelling
Full details of how to apply can be found here:
View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website

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