Statistical characterisation of endocardial breakthrough in atrial fibrillation

Project description

Cardiac fibrillation is a form of spiral-defect mediated spatiotemporal chaos, analogous to that observed in nonequilibrium reaction – diffusion systems in chemical and physical media. Within this spatiotemporal chaos, a number of distinct patterns of wave propagation are typically observable. In this context, endocardial breakthrough of waves from the interior aspect of the cardiac muscle to the endocardial surface is a recognisable observable pattern. This project will aim to develop signal processing approaches to characterise endocardial breakthough, with the hypothesis that these will able to be modelled as a renewal process, based on principles of ergodic theory.

Co-supervisors

A/Prof Anand Ganesan, Dr Dhani Dharmaprani (Cardiology)

Assumed knowledge

Familiarity with matlab

Supervisors research focus

Biomedical signal processing

Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.