Smart wound dressings are emerging as promising technologies for continuous point-of-care monitoring and providing real-time insights into the healing process. These systems may combine diverse sensing technologies, including optical, electrochemical, and mechanical sensors. To support the development and evaluation of such approaches, this project focuses on designing an ESP32-based modular wireless data acquisition node capable of collecting, processing, storing, and transmitting multi-sensor measurement data.
The proposed platform will feature a versatile hardware architecture supporting standard communication interfaces, including analogue input, I2C, and UART. Representative optical, mechanical, and electrochemical measurement setups will be integrated and evaluated. On the software side, firmware will be developed for sensor data acquisition, basic signal processing, wireless transmission, and local data storage. Additionally, threshold-based event detection and time-stamped logging will be implemented to identify and record relevant changes in the measured signals.
Ultimately, the project aims to deliver a functional ESP32-based prototype that can serve as a flexible multi-sensor hardware platform for further research and development of integrated smart wound monitoring systems.
