Automation of Home Spirometry Systems (AUNGH_U23CMP) at University of East Anglia on FindAPhD.com

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Dr M Aung No more applications being accepted Competition Funded PhD Project (UK Students Only)

Norwich United Kingdom Artificial Intelligence Biomedical Engineering Computer Graphics Data Science Human Computer Interaction Machine Learning

About the Project

Spirometry is a breathing test used to investigate respiratory function and disease. However, it is not always possible to attend supervised clinics to where such readings can be taken correctly with guidance from clinical professionals. To this end, Home Spirometry kits have become available for self-usage. However, it is important that these devices are correctly used, and the breathing protocols adhered to otherwise the readings are unreliable. Currently, there is no consistent way to ensure the readings stem simply from incorrect use or from respiratory pathology. In this project, the aim is to investigate state of the art machine learning techniques to automatically assure quality of the readings. In addition, the cause of any unacceptable readings should also be automatically determined to provide the appropriate corrective feedback to the user. The aim is not only to give back the right content but also to explore the design and modality of the feedback to maximize user comprehension and effectiveness. This project will be conducted within the School of Computing Sciences under the supervision of Dr. M.S.H. Aung and in collaboration with Norwich Medical School at the University of East Anglia. The project will provide researchers with an opportunity to gain experience in rapidly expanding fields of computer science that include Machine Learning, Digital Health and Human Computer Interaction.

For more information on the supervisor for this project, please visit the UEA website www.uea.ac.uk

Entry Requirements: Acceptable first degree in Computer Science or related.

Start date: October 2023

Funding Notes

This PhD project is in a competition for studentships allocated to the School of Computing Sciences as a direct result is increased PGT student fee income for the MSc Courses in Cyber Security, Data Science and Computing Sciences. All successful candidates will be expected to support PGT Lab sessions from October 2023 and related activities as allocated in support of these programmes within the working hours permitted for full-time Postgraduate Researchers.
Funding comprises ‘home’ tuition fees and an annual stipend (2022/23 rate is £17,668, 2023/24 tbc) for a maximum of 3 years.

Where will I study?

University of East Anglia

We’re one of the UK’s leading research institutions, ranked 10th in the UK for the quality of our research outputs and with more than 1,500 research students.