Abstract: Electrocardiogram (ECG) signals serve as a critical non-invasive diagnostic tool, providing valuable insights into the electrical activity of the heart and are widely used in diagnosing ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

Abstract: Electrocardiogram (ECG) signal classification is important for the early detection of cardiac arrhythmias and the avoidance of life-threatening complications. This work compares several ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...