The following article presents preliminary research concepts on the analysis and prevention of pressure ulcers at different stages using a sensor-based system with the purpose of lowering the occurrence of this condition. The general objective is to reduce incidences in bedded patients by improving the detection in areas at risk of developing pressure ulcers or detecting infected wounds once the ulcers have developed. The aim is to build an electronic system with an adequate sensor capable of analyzing the biomarkers released during infection so as to provide a broad analysis of the state of the pressure ulcer. The device takes a picture of an area of an immobilized patient and runs an optimal analysis of potential and present pressure ulcers along with their symptoms. The method used includes Sensors (Adafruit MiCS-5524 MQ2 and MQ3), Arduino programming techniques and Integration of materials (microcontroller). The results will be displayed in a Matlab GUI which the final user may interact with. The MQ2 sensor specifies that the sensor works 75% with alcohol in an environment of 1000 ppm. The combined technologies will be part of a larger project that will include software and hardware development for the device. We conducted a usability test of the interface among potential users and received an average score of 87.75/100.