FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge

Giacomo Verardo, Magnus Boman, Samuel Bruchfeld +4

Detecting anomalies in electrocardiogram data is crucial to identifying deviations from normal heartbeat patterns and providing timely intervention to at-risk patients. Various Aut…