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The Utilization of Vests for Esp32-Based Heart Rate and Body Temperature Detection Devices at the Sentul Village Auxiliary Health Center Candra Pratama; Sulistiyanto Sulistiyanto; Juvinal Ximenes
Akiratech Vol. 2 No. 3 (2025)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/akiratech.v2i3.245

Abstract

Health is a vital aspect of human life, and monitoring heart rate and body temperature are the main indicators to assess a person's physiological condition. However, the limitation of medical equipment and personnel in primary service facilities such as the Sentul Village Auxiliary Health Center is still an obstacle in fast and accurate health monitoring. This research aims to design and implement a heart rate and body temperature detection vest based on the ESP32 microcontroller which is equipped with MAX30102 and MLX90614 sensors and integrated with the Ubidots Internet of Things (IoT) platform. The research methods include hardware and software design, sensor accuracy testing, and real-time system performance evaluation. The test results showed that the MLX90614 sensor had an average error rate of 0.65% for body temperature measurement, while the MAX30102 sensor showed an error of 6.12% for heart rate. The IoT-based system is capable of stably transmitting data over Wi-Fi connectivity using the ESP32, although the battery power lasts only about 40 minutes in continuous operation. Based on these results, the system is rated as effective for basic health monitoring and has the potential to help medical personnel in areas with limited resources. Further development is recommended to increase battery capacity and integrate machine learning algorithms  to improve the accuracy of health data analysis.