AF-Mamba: Efficient Long-Term Signal Modeling for Early Prediction of Atrial Fibrillation Onset
A deep learning architecture that integrates temporal convolutional networks for local features encoding with Mamba, a selective state-space model capable of long-range sequence modeling is proposed, demonstrating the potential of AF-Mamba for accurate AF prediction one hour in advance and real-time continuous ambulato...