Available Projects
AI and machine learning tools for identifying fibrillation areas for facilitating Ventricular Tachycardia ablation
Project detail:
Sudden cardiac arrest (SCA) accounts for approximately 15-20% of reported deaths in the UK. Those most affected by SCA are people with structural and functional abnormalities of the heart tissue. Scarring of the heart muscle, predominantly from previous heart attacks or other inherited and acquired conditions, forms abnormal electrical circuits that can trigger heart rhythms incompatible with life, namely Ventricular Tachycardia (VT). VT can be treated by a procedure called catheter ablation, and this procedure has been shown to significantly reduce VT recurrence rates. The procedure includes mapping the heart tissue by measuring electrograms and identifying areas of abnormal tissue. This task is challenging and typically requires unique medical expertise and additional time-consuming manipulations.
The project aims to develop an AI and machine learning tool for analysing multivariate electrogram signals and identifying those corresponding to abnormal tissue. The objectives are the following. The first one is to develop an approach for signal preprocessing and retrospective labelling of signals using tissue properties. The second step is to consider a range of available tools for feature selection and develop those that yield the best prediction of tissue properties using signals acquired during tissue mapping. Finally, the tool should be integrated into the existing surgery procedure. The ultimate purpose of the project is to improve outcomes for patients.
The project will be run in close collaboration with the Heart Rhythm Research group led by Prof. Dhanjal from the Warwick Medical School. This medical group routinely performs catheter ablation procedures in the University Hospital Coventry.
- How to apply for admission: www.warwick.ac.uk/pgrengineering
- How to apply for a scholarship: https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.