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...