Abstract: This research investigates Time-Series Transformer architectures for Electrocardiogram (ECG) heartbeat classification, particularly focusing on their generalization capabilities towards new ...

Abstract: This paper presents a portable ECG device combined with a deep learning model to provide ECG analysis in real-time to predict cardiac abnormalities. ECG signals are captured using a compact ...

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Use of an ECG patch to remotely screen older patients at moderate-to-high stroke risk demonstrated modest benefits in long-term atrial fibrillation (AFib) diagnosis and anticoagulation exposure, based ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

Introduction: The increasing prevalence of type 2 diabetes mellitus (T2DM) requires improved early detection strategies that integrate demographic, clinical, physiological, and pharmacological data.

If artificial intelligence is going to change the world, then it has already begun to do so: People are using A.I. to code apps, apply for jobs, create marketing pitches. They’re using it to visualize ...