Parent Heart Watch to host ECG interpretation training for clinicians ahead of Florida's Second Chance Act

ORLANDO, Fla., Feb. 3, 2026 /PRNewswire/ -- Parent Heart Watch announced today that it will host a complimentary national Virtual Training on ECG Interpretation in Athletes to support clinicians as ...
Frontiers

Multimodal Cognitive Workload Assessment Using EEG, fNIRS, ECG, EOG, PPG, and Eye-tracking

Mental workload is a measure of the cognitive effort required to successfully perform a task, and is a function of task difficulty and individual expertise. Understanding the mental workload which is ...
IEEE

Generalized ECG Heartbeat Classification Using Time-Series Transformers

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

Feature Extraction and Classification of ECG Signals Using 2-D CNN

Abstract: This work investigates ECG arrhythmia classification using two-dimensional convolutional neural networks (2D CNNs) applied to wavelet-based time–frequency representations. Three CNN ...
Medical Xpress

AI model detects prediabetes using ECG data without need for blood tests

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 ...
Frontiers

Reinforcement Learning-Guided Optimization of ECG Features for Enhanced Heart Disease Prediction using Stacked CNNs

The final, formatted version of the article will be published soon. Accurate and timely heart disease diagnosis through intelligent ECG signal processing is essential to reducing death rates and ...