Researchers in Luxembourg are using AI to help patients with heart disease to anticipate episodes of arrhythmia, with hopes that the technology will eventually find its way into smart watches.
Jorge Goncalves, the head of the systems control group at the Luxembourg Centre for Systems Biomedicine, has been working with fellow researchers on developing a deep-learning model which could predict cardiac arrhythmia even before it happens.
Atrial fibrillation, characterised by an irregular heartbeat, is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019, according to research published in the Journal of…
