Real-Time Wearable Health Metrics Streaming API

Create a scalable WebSocket-based API using FastAPI that can handle high-frequency streaming of wearable device health metrics (heart rate, oxygen saturation, activity levels). Implement advanced data validation using Pydantic models, with real-time anomaly detection algorithms that can identify potential health risks. Design the system to handle concurrent connections from multiple devices, with built-in rate limiting, compression, and efficient data storage using SQLAlchemy with a time-series optimized database. Include comprehensive error handling for device disconnections and implement a robust authentication mechanism specific to medical device integrations.