DEVELOPMENT AND CONTROL OF SMART INCUBATOR SYSTEM FOR PREMATURE BABIES

Abstract

Smart incubator systems (SIS) for infants are designed to provide the best possible care for premature and critically ill newborns. It uses advanced technology to monitor and regulate the temperature, humidity, and other environmental factors in the incubator for the neonates. The essential goal of this paper is to build a low-cost, efficient, and dual-powered incubator that saves premature neonates ' lives. An open-source Internet of things (IoT) application and an Arduino Nano microcontroller equipped with several sensors are used to remotely monitor and control the environment levels inside an infant incubator. This study examined the effect of temperature and Humidity on the infant incubator control system. It employed a DHT11 Temperature and Humidity sensor, which was processed by an Arduino NANO microcontroller and presented on a PC. The average value of the minimum difference for DHT11 sensor readings was 34°C and 25%, and the average maximum value difference was 37°C and 65%. The DHT11 sensor was found to have lower oscillations and higher accuracy. The BLYNK application server is used to a network so that it is linked to a smartphone and sends notifications to the registered medical staff and parent’s mobile number if any abnormalities are detected. The outcomes of this research have demonstrated that using Thing Speak IoT apps, real-time updated medical records were transmitted to the medical team and parents