Anomaly Detection is a methodology used to detecting rapid changes in metrics such as Heart Rate (HR), Respiratory Rate (RR), Heart Rate Variability (HRV), and Temperature, which may signal the onset of acute illness.
The algorithm analyzes the member's data over a 24-hour period, comparing it to their baseline, and generates a score. Higher values represent more anomalous events.