A real-time biomedical monitoring system for Electrocolonography (EconG) signals, featuring ESP32-based data acquisition and an Android application for live signal processing and visualization in microvolts.
A specialized biomedical engineering project focused on the acquisition, digital processing, and live visualization of electrical signals from the colon using an ESP32 and a dedicated Android application.
This system provides a portable and efficient solution for monitoring gastrointestinal electrical activity. It captures raw analog data and applies digital signal processing (DSP) to display calibrated physical values in real-time.
- Bio-Amplifier: AD620 Instrumentation Amplifier.
- Microcontroller: ESP32 (utilizing high-speed 12-bit ADC).
- Connectivity: Bluetooth Classic for wireless data transmission.
- Electrodes: Standard medical-grade surface electrodes.
- Real-time Data Visualization: High-performance graphing using the MPAndroidChart library.
- Digital Signal Processing (DSP): Implementation of a Low-Pass Filter (LPF) for noise reduction and baseline stability.
- Physical Calibration: Real-time conversion of ADC units into Microvolts (uV).
- Time-Domain Analysis: X-axis synchronization in Seconds for accurate monitoring.
- Sampling Frequency: 50 Hz.
- Filter Coefficient: 0.15 (Digital Smoothing).
- Voltage Mapping:
Voltage(uV) = (Raw_ADC * 3.3 / 4095) * 1000.
Developed by Eng. Mahmoud Souliman - AI/ML Engineer & Medical Equipment Specialist.