Smart Infant Incubator Based on LoRa Networks

Abstract

The birth of a premature baby implicitly involves a series of special care focused on the monitoring of the evolution in terms of weight gain, movements of the baby, etc. It is also important to maintain the environmental parameters of the incubator in adequate values to avoid the heat loss of babies. Therefore, this paper presents the proposal of a system for infant incubators based on the use of temperature and humidity sensors, and a set of weight sensors, which allows us to monitor the progress of the baby. Each incubator that has this system is connected to a central network based on Long Range Networks (LoRa) that allows registering the medical data in a database. Finally, the system has a Near Field Communication (NFC) interface that allows the identification of doctors, the view of the patient evolution with tablets and the introduction of new data by the doctor. Finally, the system has been tested in a laboratory environment to ensure the proper functioning of system.