Sensor Characterization for Self Service Medical Check Up Machine Umiatin1, a), Pinkan Amanda Putri1, b), Ahmad Zatnika Purwalaksana1, c)
1Department of Physics Education, Universitas Negeri Jakarta
Jl. Rawamangun Muka, Jakarta 13220, Indonesia
Abstract
Cardiovascular disease is the leading cause of death in the world, causing 41 million deaths each year, or 74% of global deaths from non-communicable diseases (NCDs) such as hypertension, diabetes, and obesity, therefore, early detection and monitoring of NCD risk factors are very important. This study aims to develop an integrated device called ATKM, which combines a tensiometer, glucometer, and BMI-fat analyzer. The study was conducted in three stages, starting with the characterization of sensors to measure blood pressure, blood glucose, and body fat composition. The sensors used include the MPX5050GP pressure sensor, the BPW34 optical sensor with 940 nm NIR-LED, the HC-SR04 and JSN-SR04T proximity sensors, and the load cell sensor. The MPX5050GP sensor showed a coefficient of determination (R^2) of 1 and a sensitivity of 0.012. The BPW34 sensor showed an (R^2) of 0.8736 with a sensitivity of -0.0013. The HC-SR04 and JSN-SR04T proximity sensors showed (R^2) values of 0.9996 and 0.9997, and sensitivities of 0.9943 and 0.9831, respectively. The load cell sensor achieved an (R^2) of 1 and a sensitivity of 1.0056. Overall, the results show that all sensors have good sensitivity and accuracy, making them suitable for integration into ATKM devices.
Keywords: Tensiometer, Glucometer and BMI-Fat Analyzer
