2022
A Method for Detecting Coronary Artery Disease using Noisy Ultrashort Electrocardiogram Recordings
ICASSP 2022accepted
The current study aims at creating an algorithm able to detect Coronary Artery Disease (CAD), using ultrashort (duration of 30 seconds) one-lead ECG recordings. The presented method is designed to allow both electrode and noisy recordings (deriving from a smartwatch) as input. This is achieved by us…