Author

Basile Morel

2 papers indexed here

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Open access Oct 2026

Improving ECG diagnostic performance under ambulatory noise with scalable long-range state-space denoising modelling

Long-duration ECG monitoring is increasingly used to detect intermittent and subtle cardiac abnormalities, yet real-world recordings are frequently contaminated by non-stationary artifacts (baseline wander, motion, muscle activity) that impair interpretability and can degrade automated diagnosis—particularly as r...

S. Ruipérez-Campillo, B. Morel, A. Streicht et al. · European Heart Journal · 0 citations

#artificial intelligence Preprint Sep 2026

DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising

A Mamba-augmented model is proposed that inserts selective state-space blocks at the convolutional bottleneck, combining local feature extraction with long-range temporal modeling at linear complexity, and substantially improves ST/T-change diagnoses, which depend on broad, context-sensitive waveforms.

Basile Morel, Samuel Ruipérez-Campillo, Andreas P. Streich et al. · 0 citations