60 citations · 122 across the 3 of their papers we have counts for
3 papers
Reducing complexity and unidentifiability when modelling human atrial cells
C. Houston, B. Marchand, L. Engelbert +1
Mathematical models of a cellular action potential in cardiac modelling have become increasingly complex, particularly in gating kinetics which control the opening and closing of i…
Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis +6
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibril…