CAF-Net: A Convolution and Attention Fusion Network with RR Interval Context for Five-Class Arrhythmia Detection from Single-Lead ECG
Automatic arrhythmia detection from the electrocardiogram (ECG) is a central component of modern cardiac screening, yet accurate discrimination of rare beat types from a single lead remains difficult. This paper proposes CAF-Net, a convolution and attention fusion network that combines a residual convolutional encoder...