Smart Adaptive AGC System for Low-Power Sensing Applications
Developed a Smart Adaptive AGC system optimized for low-power, noise-sensitive analog sensing applications.
Technical Deep Dive 🛠️
This project involved the development of a sophisticated Automatic Gain Control system specifically designed for biomedical signal acquisition. The system dynamically adjusts gain to maintain optimal signal levels for processing, crucial for applications like ECG monitoring where signal quality is paramount. Technical Implementation Details: • Analog Front-End: Utilized LM358 op-amp in non-inverting configuration with variable feedback • Digital Control: Integrated MCP41010 digital potentiometer controlled via SPI from Arduino Uno • Control Algorithm: Implemented PID-based gain adjustment with amplitude tracking • Simulation: Validated design in Proteus 8 Professional with virtual oscilloscope • Testing: Applied 2V sine waves and synthesized ECG waveforms for validation Key Innovations: • Hybrid analog-digital gain control path • Ultra-low power consumption (<5mA) for wearable applications • Adaptive noise floor tracking • 40dB dynamic range with 0.5dB resolution
Engineering Challenges 🎯
- Maintaining stability with varying bio-signals
- Minimizing noise in analog front-end
- Achieving fast settling time (<10ms)
- Power optimization for wearable use
Achievements & Outcomes 🚀
- Successful prototype with 40dB dynamic range
- Accurate ECG signal preservation
- Ready for PCB integration
- Potential for clinical validation
Technology Stack ⚡
Key Innovations ✨
- Real-time hybrid AGC with 0.5dB resolution
- Validated with ECG waveforms
- Proteus simulation environment
- SPI-controlled digital potentiometer
- <5mA power consumption