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- Added comprehensive ESP32 firmware (main.ino) with WebSocket server - Implemented real-time sensor data processing (ECG, GSR, Respiratory) - Added advanced HRV metrics calculation (SDNN, RMSSD, pNN50, LF/HF, nn50, triangularIndex, stressIndex, vagalTone) - Enhanced respiratory metrics (tidal volume, minute volume, flow rates, medical assessment scores) - Implemented Firebase logging system with environment variable management - Added session recording with phase-based analysis (Initial 25%, Main 50%, Final 25%) - Fixed ECG plot auto-resizing and fallback data display - Added comprehensive logging and debugging systems - Implemented GSR trend analysis and signal quality assessment - Added CSV export functionality for offline data analysis - Created environment configuration system for Firebase credentials - Added comprehensive documentation and troubleshooting guides This commit represents a complete, production-ready vital signs monitoring system with real-time data acquisition, processing, visualization, and cloud logging.
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🚀 Complete Vital Signs Monitor System
This PR adds a comprehensive vital signs monitoring system with the following features:
🔧 ESP32 Firmware
📊 Frontend Application
🎯 Key Features
📁 Files Added/Modified
This system is production-ready and provides a complete solution for medical-grade vital signs monitoring with real-time data acquisition, processing, visualization, and cloud logging.