Air pollution is not only damaging lungs and hearts, but it may also be contributing directly to Alzheimer’s disease, the most common form of dementia, ...
New research led by City St George's, University of London has found that routine heart screening in young people can identify potentially life-threatening cardiac conditions and save lives, and that ...
Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...
Continuous cardiovascular monitoring is vital for preventing and managing heart disease, yet most wearable devices struggle with motion artifacts and require precise alignment over arteries. The newly ...
Abstract: An electrocardiogram (ECG) is a non-invasive and cost-effective method for diagnosing heart disease. However, physicians often face challenges in interpreting ECG. As a result, deep learning ...
Getting enough sleep may be more important for heart health than many busy professionals realize. A new multicenter study conducted by researchers from Kumamoto University and the National Cerebral ...
Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...
Vektor Medical, a medical technology company transforming cardiac arrhythmia care, today announced the publication of a peer-reviewed study in EP Europace evaluating vMap-guided activation mapping and ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
BACKGROUND: It remains unclear whether social determinants contribute to major ECG abnormalities (MEA), an early marker of cardiovascular disease, which predicts adverse cardiovascular events and ...
Correspondence to Ricardo Stein, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-903, Brazil; rstein{at}cardiol.br Objectives To evaluate the prevalence of abnormal ECG findings and ...