The stethoscope was invented 200 years ago. The basic design has not changed since then. The main objective of this project is to develop an intelligent stethoscope capable of automatic diagnoses. The first step in developing such a stethoscope is to have an electronic stethoscope that can digitally record signals. There are a few electronic stethoscopes available in the market. Our stethoscope will differ from these in two ways. The first is that it would be a lot cheaper. The other key difference, which would enable a step change in existing technology, is that we will embed a micro processor within the stethoscope. The processor will perform signal processing and implement machine learning algorithms (currently being developed as part of another project ) to give an automated diagnoses of heart and lung diseases. The project is in collaboration with the local hospitals and we are working with the leading cardiologists and respiratory consultants to help with data acquisition, modelling and diagnoses.
This is unique opportunity to work on an inter-disciplinary project that can have a big impact.
The studentship is fully funded by the WD Armstrong Fund for the application of engineering in medicine. It pays for UK/EU tuition fees and a stipend. We are looking a student with experience and interest in electrical/electronic engineering and computer programming. The nature of the project work will be mainly experimental, making and transmitting good quality digital signal recordings and will involve working with microprocessors and printed circuit board design.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in an Electrical/Electronic Engineering or a related subject.
Applications should be submitted via the University of Cambridge Graduate Admissions web pages http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/, with Dr Anurag Agarwal identified as the potential supervisor
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