Development of A Baby Incubator Based On Telemedicine (System for Detecting and Informing Baby’s Bedwetting)

Monitoring a baby's condition in an incubator is a crucial aspect of neonatal care, especially for premature babies who require intensive supervision. One often overlooked issue is wet diapers, which can lead to skin irritation and infection if not promptly addressed. This research aims to design and develop a telemedicine-based bedwetting detection system capable of providing real-time information to medical personnel remotely. This system uses a resistance-based humidity sensor connected to a comparator circuit to differentiate between wet and dry diapers. The detected data is read by an Arduino Nano microcontroller and then sent to a Raspberry Pi via serial communication. The Raspberry Pi displays the baby's status on the LCD and sends automatic notifications via WhatsApp using the Fonte API. Testing was conducted in an baby incubator with varying fluid volumes of 10–50 ml at a temperature range of 34–37°C. Results showed that the sensor began to respond stably at an average volume of 25 ml and above. The system was able to accurately detect wet diapers and send notifications within 2–4 seconds. The visual display on the LCD also facilitates direct monitoring by medical personnel.