Lightweight CNN Architectures for Real-time ECG Arrhythmia Classification on Edge Devices
Real-time and accurate detection of cardiac arrhythmias in electrocardiogram (ECG) signals is essential in clinical decision support and remote health monitoring especially on wearable and edge devices of low power. This paper suggests a BMEL-CNN (Balanced Mixup-Enhanced Lightweight CNN) -based pipeline to classify arr...