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DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising
Electrocardiogram (ECG) recordings are corrupted by non-stationary noise sources that degrade diagnostic reliability, particularly in ambulatory and long-duration recordings. Deep learning denoisers exist, but convolutional architectures are limited by their receptive field, transformer-based models
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