Smart LLM Agents for Health Monitoring
Improving heart rate analysis from wearable device data
This research introduces an innovative LLM-powered agent that analyzes physiological data from wearable devices without overwhelming token limits.
- Creates a conversational interface for analyzing PPG signals from wearable devices
- Uses feature extraction rather than raw data to reduce computational costs
- Demonstrates effectiveness in heart rate estimation from photoplethysmography (PPG) signals
- Provides a framework for remote health monitoring applications
This approach matters for healthcare by enabling more efficient analysis of physiological data, potentially improving remote patient monitoring and making advanced health analytics more accessible to clinicians without specialized data science expertise.