Noninvasive characterisation of gastric electrical activity using electro-anatomical mapping

This PhD project focuses on pioneering electro-anatomical mapping techniques to address significant gaps in diagnosing and understanding chronic gastric disorders. Rhythmic electrical signals that govern stomach function are often disrupted in patients with conditions, such as nausea and indigestion. Despite their clinical relevance, non-invasive methods to detect and analyse these signals remain underdeveloped due to weak signal characteristics and the complexity of stomach anatomy.

Our research aims to bridge this gap by leveraging cutting-edge tools to map and model the intricate relationship between gastric slow waves, body-surface potentials, and subject-specific anatomy. Using world-leading experimental and modelling approaches, this project will revolutionise the diagnosis of gastric disorders by creating reliable, non-invasive tools that clinicians can use to detect and monitor bioelectrical patterns on the skin indicative of these conditions. As a PhD student, you will contribute to experimental and computational aspects of the research, gaining expertise in advanced electrophysiology, bioengineering, and healthcare innovation. This work not only advances scientific knowledge but also holds promise for equitable healthcare improvements worldwide.

A bachelor's (with honours) or master's degree in Engineering (ideally in Electrical and Electronic Engineering) or Science, a basic understanding of physiology, working knowledge of MATLAB or Python, and familiarity with finite element method techniques. Previous experience in conducting scientific research and reporting findings is preferred.

This project is eligible for funding but is subject to eligibility criteria & funding availability.

Page expires: 20 December 2025