Adaptive Wearable Health Monitoring Data Processing Pipeline

Architect a robust data processing system for continuous health monitoring that can ingest, validate, and analyze streaming data from multiple wearable devices with variable sampling rates and sensor configurations. Implement advanced signal processing algorithms for noise reduction, anomaly detection, and physiological state inference. Design a flexible event-driven architecture that supports real-time alerting and can dynamically reconfigure processing logic based on detected patterns.