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

1 Central People’s Hospital of Zhanjiang, Zhanjiang, China 2 Shenzhen Dawei Medical Technology Development Co., Ltd., Shenzhen, China, Shenzhen, China The final, formatted version of the article will ...

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 ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and ...

Abstract: Electrocardiograms (ECG) offer a quick and noninvasive method to analyze heart disorders. However, analysis of ECGs under non-ideal or noisy situations presents challenges, even for experts.