Estimation of fibre architecture and scar in myocardial tissue using electrograms: an in-silico study

no code implementations • 6 Dec 2022 • Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath

We adapt a wavelet-based surrogate testing analysis to confirm that the inferred conductivity distribution is an accurate representation of the ground truth input to the model.

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

no code implementations • 9 Oct 2018 • Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stef Garasto, Charles Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters

We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling.

BIG-bench Machine Learning