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

no code implementations • 6 Oct 2023 • Giacomo Verardo, Magnus Boman, Samuel Bruchfeld, Marco Chiesa, Sabine Koch, Gerald Q. Maguire Jr., Dejan Kostic

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

Anomaly Detection