Design and Development of a Heart Rate and Blood Oxygen Saturation Monitoring System Using a Fuzzy System Based on the Internet of Things
Keywords:
heart rate, oxygen saturation, body temperature, fuzzy system, Internet of ThingsAbstract
Existing heart rate and oxygen saturation monitoring devices currently have limitations such as high cost, lack of portability, and the absence of automatic notification features for users. This study aims to design, build, and test a heart rate and blood oxygen saturation monitoring system using a portable and affordable fuzzy system based on the Internet of Things. The development method used is the V-Model, which includes systematic verification and validation stages. The system was built using an ESP32 microcontroller as the main processing unit, an AD8232 sensor to measure the heart's electrical activity, a MAX30102 sensor to measure heart rate and blood oxygen saturation (SpO2), and an MLX90614 sensor to measure body temperature. Data from the three sensors is processed using Mamdani fuzzy logic, then transmitted wirelessly to the Ubidots platform for real-time monitoring via smartphone. Testing was conducted on subjects aged 20–25 years performing a running activity on a treadmill for 30 minutes. The results show that the system is able to read and display heart rate, blood oxygen saturation, and body temperature data in real time. The Mamdani fuzzy logic successfully classified the user's health condition based on the acquired sensor data. The system is concluded to be feasible for use as a portable, affordable monitoring tool capable of providing early warnings to users when abnormal health conditions are detected during exercise.
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