Detection of Hypoxic Symptoms System Based on Oxygen Saturation and Heart Rate Using Arduino Based Fuzzy Method

Abstract

In the medical field, a device is needed to monitor the patient’s condition in a noninvasive manner that is, without injuring the patient. If ignored continues to lead to hypoxia can disrupt the function of the brain, liver, and other organs quickly. So that in this study a hypoxia early symptom detection tool that uses a noninvasive method by using a Max30100 sensor that is pinned to the fingertips can affect the results of the initial symptoms of hypoxia. To detect the initial symptoms of hypoxia in this tool the Sugeno fuzzy method is used so that the output is obtained according to the existing rules. The Sugeno fuzzy method will process data taken from the Max30100 sensor. 3 devices are in this device, the Arduino as the controller, the Max30100 sensor to get the input and Bluetooth for sending data to the smartphone. The software uses an APP inventor to program the Android application to display data. In this study, the test results obtained error in 2.96% for oxygen saturation and 2.86% for heart rate obtained. From the fuzzy method in 12 trials, the data obtained 100% accuracy and the Sugeno fuzzy method can process the input data.