Abstract: This study presents a complete system for remote single-lead electrocardiogram (ECG) monitoring using a wearable device equipped with dry laser-induced graphene (LIG) electrodes. First, we ...

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

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...

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 ...

A Michigan woman’s decision to let artificial intelligence (AI) pick her lottery numbers has paid off in a big way. Tammy Carvey, 45, of Wyandotte, won a Powerball jackpot of $100,000 and says ChatGPT ...

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

The model is trained solely on ECG signals using HRV and EDR features with an LSTM-based neural network.