From Chaos to Care: Personalized AI for Early Cardiac Arrhythmia Warning
The paper introduces CASCADE, a personalized, online anomaly forecasting framework that utilizes entropy-tuned chaotic reservoir computing to detect early cardiac arrhythmias by identifying failures in short-term dynamical predictability rather than relying on static beat-level classification.