Abstract: Globally, heart disease (HD) is one of the main causes of death, and survival rates are greatly increased by early identification. This paper proposes a Multi-Scale Pooling-based Deep Neural ...

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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 ...

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

Robot and human fingers reach out to the other, symbolizing the promise of our future. Artificial intelligence has the power to transform our lives. It needs humans to step up to harness this power.

This project aims to develop a deep learning model capable of predicting the emotional state (stress/no stress) of an individual based on their ElectroCardiogram (ECG) signals. The model has been ...