Cloud-based monitoring system and risk management for premature newborns

This work aimed the designing of an integrated neonatal incubator system for monitoring premature newborns (NB). This project has as main feature the real-time temperature and weight data acquisition with the storing of it in a cloud server and as extra functionality, a variety of warnings of health risks from the NB health state. Those alerts were sent directly to smartphones linked with this system. The graphics of the measured data and the alerts generated by risk situations are present in this work, showing this system a viable and low-cost solution for monitoring the health of preterm neonates with remote clinical analyses.