ET HealthWorld

From Wearables to Algorithms: How Technology Is Redefining Heart Health After 40

Discover how wearable technology, AI diagnostics, and remote monitoring are reshaping heart health for individuals over 40 in ...
IEEE

Graph-Driven Feature Selection for ECG Classification: Leveraging Structural Dependencies Between Leads

Abstract: The precise identification of ECG patterns serves as an essential requirement for developing automated cardiac diagnosis systems. While Convolutional Neural Network (CNN) models are widely ...

Fit, cleared, gone: Why a 'normal' ECG didn't save a 53-year-old neurosurgeon from a sudden heart attack

The sudden death of renowned Nagpur neurosurgeon Dr Chandrashekhar Pakhmode in the early hours of December 31 has sent ...

Do you really need a CT angiography to detect heart blockages? Leading doctor busts some myths

The medical team will not perform CT Angio when your ECG and stress test results show no issues, and you belong to a low-risk ...
Frontiers

A case of myocardial calcification combined with abnormal Q waves on electrocardiogram

The final, formatted version of the article will be published soon. Background: Myocardial infarction is the most common cause of pathological Q waves on electrocardiogram(ECG), but other conditions ...
Frontiers

Development of a clinical diagnostic model for atypical endometrial hyperplasia and endometrial carcinoma in women aged 40–60 years based on refined abnormal uterine bleeding ...

Objective: To develop and validate a diagnostic nomogram model for predicting atypical endometrial hyperplasia (AEH) and endometrial carcinoma (EC) in women aged 40–60 years with abnormal uterine ...
IEEE

Self-Supervised ECG Anomaly Detection Based on Time-Frequency Specific Waveform Mask Feature Fusion

Abstract: The imbalance of ECG signal data and the complexity of labeling pose significant challenges for deep learning-based anomaly detection. Traditional contrastive learning approaches for ECG ...