Multi-Parameter Physiological Monitoring System
Real-time monitoring of ECG, SpO2, respiration, temperature, and blood pressure with Qt/QML desktop and web interfaces
Overview
Real-time 5-parameter physiological monitoring system (ECG, SpO2, respiration, temperature, blood pressure) with STM32 hardware and dual interface (Qt/QML desktop + HTML/JavaScript web). Achieves <50ms latency with Python+QML architecture for improved maintainability over traditional C++/XML.
Problem Statement
Clinical monitoring requires simultaneous multi-parameter tracking with complex UIs and cross-platform deployment. Traditional C++/XML approaches are difficult to maintain and port across diverse medical hardware/OS environments.
Methodology
Hardware Architecture
- STM32 Microcontroller: 16-bit ADC, 100-1000 Hz sampling, 5-channel input (ECG 2-lead, SpO2, respiration, temperature, BP)
- Signal Conditioning: Analog filtering, amplification, impedance matching
Software Architecture
- Desktop: Qt/QML frontend with Python backend, QtCharts real-time plotting
- Web: HTML/JavaScript with WebSocket streaming for remote access
- Signal Processing: Wavelet/FFT filtering, IIR filters (Butterworth/Chebyshev), QRS detection, HRV calculation
Results
Performance Metrics:
- QRS detection accuracy: >98%
- Multi-signal display latency: <50ms
- Successful 5-parameter simultaneous acquisition
- Cross-platform validated (Windows, Linux)
- Multi-user web access functional
Applications
- ICU patient monitoring (5-parameter tracking)
- Cardiac rehabilitation (ECG + SpO2)
- Respiratory assessment centers
- Ambulatory monitoring systems
- Research-grade signal acquisition
Achievements & Recognition
Key Metrics
- 5 physiological parameters monitored simultaneously
- <50ms real-time processing latency
- Dual interface deployment (desktop + web)
- Cross-platform compatibility (Windows, Linux, macOS)
Technical Stack
Qt/QML, Python, HTML/JavaScript, WebSocket, STM32
Timeline
Duration: February - July 2022 (6 months)