Baby Incubator Based on PID Control With Kangaroo Mode (Kangaroo Mode and Humidity)

Abstract

Baby Incubator is one of the electromedical equipment used to provide protection to premature babies or low birth weight. Baby care in the baby incubator causes separation of mother and baby. A new innovation in the care of premature babies who bring their babies and mothers closer is Kangaroo Method Management (PMK). Kangaroo method treatment aims to create emotional attachment to the baby, so that the mother will confidently take care. The research and manufacture of this module uses a method of treating baby incubator by adding a reading of the room temperature when the kangaroo mode runs at a setting of 34 ° C - 37 ° C with the effect of room temperature at 18 ° C, 24 ° C, and 30 ° C and setting the humidity control automatically by measuring at a temperature of 32 ° C, then measuring the results immediately. Sensors used to detect temperature are LM35 sensors and sensors used to detect humidity using DHT22. Based on the measurement results obtained uncertainty values ​​on the measurement of humidity 2.1, the measurement of temperature stability can be seen from the results of the graph which shows that the room temperature is not too influential at the temperature of the baby incubator. This study has shown the development of baby incubators to help mothers who have babies born prematurely so that they can have a good bond with how to treat skin to skin. This study has proven that its accuracy is appropriate to be used to stabilize the condition of babies born prematurely and help to treat PMK in some hospitals. In the future, this research can be made and used in small clinics in villages at low costs.

Infant Warmer with Digital Scales for Auto Adjustment PID Control Parameters

“…Compared to the previous studies, current research obtained different results at each temperature setting and skin temperature. The previous research used fuzzy method, which obtained the largest error value at T1 by 0.06% at a temperature setting of 34 0 C, T1 by 0.06% at a temperature setting of 35 0 C, and T1 by 0.06% at a temperature setting of 36 0 C, and T1 by 0.07% at a temperature setting of 37 0 C. Meanwhile, this study used PID control method, which obtained the largest error value at T4 by 0.03% at a temperature setting of 35 0 C, T4 by 0.04% at a temperature setting of 36 0 C, and T4 by 0.06% at a temperature setting of 37 0 C. In terms of the skin temperature at previous study, the mean value of the difference between the module and the thermometer is around 0.6 0 C, while this research obtained mean value of the difference between the module and the thermometer of 0.1 0 C. Based on the results of the data that have been studied by previous researchers and the results of the current research, it can be concluded that the current research has a smaller error value than the previous research [7]. Therefore, the implementation is that this device can be used at an open room temperature with 3 temperature settings and PID control which is equipped with a temperature sensor for the body using 7 segments that are clearly visible even from 2 meters of vision.…”

“…In addition, this device also used ATMega 328 minimum system which processes the analog data from the LM 35 and thermistor sensor with a temperature setting of 32°C to 37°C. However, this device had weaknesses in the PID response to heater performance because the heater wattage is too small so the PID response is a little slow [7]. Subsequent research was carried out by I. W. Aris Wiyadnyana Putra.…”

“…Another study also designed such device by using DHT11 sensor as the sensing element and the control method were actuated by lightbulbs. The controller used microcontroller atmega16 as the processor whose output determines the amount of power supplied to the lightbulb by employing pulse width modulation and MOSFET triggered circuit [7]. In this case, PID control system is used by some researchers as control of industrial equipment [11][14] [18] [19].…”

Current Trends in Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic Control: Systematic Literature Review

“…AI holds great potential for change in the healthcare industry. Indeed, healthcare companies face unheard-of difficulties caused by aging and labor shortages, shifting demographics, administrative demands, rising morbidity, and changes in information technology need [31][32][33][34][35][36][37][38][39][40]. Utilizing AI to provide accessible healthcare solutions with successful patient outcomes [31][32][33].…”

“…For instance, AI-assisted robotic surgery has shown to enhance surgical outcomes for surgeons. There have been reports of the application of AI to detect illnesses early, particularly chronic illnesses like cancer [4,10,34]. Due to the possibility of extensive automation, this rise in AI is anticipated to have an impact on the role of healthcare professionals, particularly those working with digital data, such as radiologists or pathologists.…”