IEEE

Efficient ECG Anomaly Detection Using Autoencoder-Based Dimensionality Reduction: A Comparative Study of Machine Learning Algorithms

Abstract: Electrocardiograms (ECGs) are widely used to diagnose various cardiovascular conditions. While deep learning models have shown high accuracy in ECG classification, challenges such as high ...
IEEE

A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis

Abstract: Electrocardiogram (ECG) analysis is crucial for diagnosing cardiovascular diseases (CVD), especially atrial fibrillation (AF), a prevalent cardiac rhythm abnormality. However, the ...