Cardiovascular scientists at City St George's, University of London, have identified crucial clues from a heart rhythm test ...

Myocardial infarction (MI) is one of the most dangerous cardiovascular diseases, typically diagnosed using electrocardiogram (ECG). While many deep learning methods exist for MI detection, they often ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing additional strain on already overburdened healthcare systems. Mobile health ...

This research paper proposes a novel machine learning (ML) system to automate the generation of myocardial infarction (MI) classifiers using lead I electrocardiogram (ECG) signals. The proposed system ...