Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling

9 Oct 2018Chris D. CantwellYumnah MohamiedKonstantinos N. TzortzisStef GarastoCharles HoustonRasheda A. ChowdhuryFu Siong NgAnil A. BharathNicholas S. Peters

We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibrillation, are a major global healthcare challenge... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet