Fuzzy Logic Implementation For Incubator Prototype With Temperature And Humidity Control

Abstract

Premature infant and young baby born with low body weight has potential to be in high risk and critical condition to survive. Medical equipment functioned as uterine is required, so the infant will have the similar condition as in the womb of its mother. There is a need to control surrounding temperature, humidity, oxygen supply, sound and light level to support the development of the infant's weight. Infants with low weight have possibility to feel cold and have body heat loss. The use of additional supporting equipment such as incubator is absolutely necessary and vital to create a stable surrounding environment for infant to keep the body temperature in range of normal and relatively constant value. In this paper, the fuzzy logic is implemented as the role of controller for an incubator equipped with temperature and humidity sensor. The propossed incubator prototype was tested in DR. Sardjito Hospital, Yogyakarta Indonesia. The experiments showed prospected results to get a stable temperature and humidity which are suitable for premature baby.

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