IEEE

Lead-Aware Multi-Resolution Transformer With Domain Adaptation for Beat-Level ECG Arrhythmia Classification

Abstract: Accurate and generalizable ECG classification remains a critical challenge in automated cardiac diagnostics, particularly when dealing with multi-lead signals from heterogeneous sources. In ...
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 ...