Conference
Open access
Sep 2026
ECG-Based Cardiac Arrhythmia Detection Using a Lightweight Attention-Augmented CNN-BiLSTM Network
A lightweight Convolutional Neural Network and Bidirectional Long-Term Memory (CNN-BiLSTM) architecture is presented to help identify multi-class ECG arrhythmias and demonstrates clinically measurable QRS activation, paving the way for wearable monitoring platforms with interpretable and deployable cardiac AI.
Bersha Kumari, A. Dhaka, A. Sharma et al.
· 2026 IEEE International Conf... · 0 citations