Development of a Baby Incubator with a Vital Sign Monitoring Tool Based on Pan-Tompkins Method for Heart Rate Calculation

Heart signals and heart rate are important aspects that need to be monitored in the care of premature babies because they describe the health condition of premature babies. This research aims to develop a baby incubator with accurate Electrocardiogram (ECG) monitoring that can facilitate monitoring of the baby's condition directly so as to get the right treatment. This research uses an Electrocardiograph circuit, temperature sensor, NTC skin sensor, loadcell sensor, and ultrasonic sensor. Arduino is used as a processor of all data and in ECG processing the Pan-Tompkins algorithm is used to process the QRS signal which will then detect the R peak and calculate the accurate heart rate value. The testing procedure of this module is carried out by taking data directly from 10 subjects and then the data obtained is processed to obtain accuracy regarding heart signals and heart rate. The main result of this research is the development of a baby incubator that can monitor heart signals in real time using the Pan-Tompkins algorithm. Measurements using a comparison tool showed an average heart rate measurement error of 0.2%. It was concluded that the incubator performance showed good results. It was concluded that the incubator performance showed good results. The results of this study can be used for doctors to monitor the condition of premature babies remotely using a smartphone or computer so that it is expected to accelerate the analysis and treatment of patients.