Albert J. Rogers

ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring

We present ConvexECG, an explainable and resource-efficient method for reconstructing six-lead electrocardiograms (ECG) from single-lead data, aimed at advancing personalized and continuous cardiac monitoring. ConvexECG leverages a convex reformulation of a two-layer ReLU neural network, enabling th…