A TCN+Mamba model trained on 30-minute RR interval windows predicts imminent atrial fibrillation in held-out subjects with AUROC 0.972 and only 73.5K parameters.
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023),
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Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture
A TCN+Mamba model trained on 30-minute RR interval windows predicts imminent atrial fibrillation in held-out subjects with AUROC 0.972 and only 73.5K parameters.