We present a health monitoring system for patients in Burkina Faso with the objective of preventing the spread of disease and obtaining a good diagnosis even at remote. An IoT application has been realized in three phases by: designing a web application; designing a digital records tracking system; and field testing. In order to locate the level of integration of the IoMT-based system in our health centers, a field survey was conducted. The system is based on a Raspberry Pi that has been deployed as a WiFi AP (Access Point). An ESP32 is associated with a MAX30100 sensor to create a saturometer with local resources. It has been developed in Python and implements websockets for real-time connection to allow automatic feedback of data from the oximeter to the application.

Internet of Medical Things (IoMT) ESP32 Max30100