IoT Heart Beat Monitoring Based on Nodemcu ESP32
Abstract
Cardiovascular disease is a leading cause of global death, with early detection of heart rate anomalies key to preventing complications such as arrhythmias. However, conventional monitoring systems are often expensive, non-portable, and less accessible in remote areas. This study aims to develop an affordable and portable Internet of Things (IoT)-based heart rate monitoring system using the MAX30100 sensor and an ESP32 microcontroller. The system is designed to measure heart rate in real time, transmit data to the Blynk IoT platform, and provide automatic notifications when the heart rate is outside the normal range (60–100 beats per minute). The research methods include system design, hardware and software implementation, and testing on 10 subjects aged 20–40 years. Heart rate data was processed using a moving average filter to reduce motion noise. The test results showed heart rate measurement accuracy with an average relative error of 2.57%, an average data transmission latency of 1.39 seconds, and a notification response time of 1.8 seconds. The system is also power-efficient with a consumption of 80 milliamperes, making it suitable for long-term use. This research has successfully produced an efficient and accessible heart rate monitoring solution, supporting early detection of heart disorders in resource-limited settings.
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References
[2] AM Rahmani, H. Aghajan, and F. Roushan, “Home security system using passive infrared sensors and IoT,” Int. J. Comput. Appl., vol. 975, pp. 1–5, 2019.
[3] A. Jain and M. Gupta, “Gas leakage detection system using IoT,” in Proc. 3rd Int. Conf. Commun. Electrons. Syst. (ICCES), 2020, pp. 240–244.
[4] Aryza, S., et al (2024). A ROBUST OPTIMIZATION TO DYNAMIC SUPPLIER DECISIONS AND SUPPLY ALLOCATION PROBLEMS IN THE MULTI-RETAIL INDUSTRY. Eastern-European Journal of Enterprise Technologies, (3).
[5] MK Khan, MA Salahuddin, and A. Ghosh, “Smart home automation using IoT with Blynk app,” J. Eng. Sci. Technol., vol. 15, no. 6, pp. 3501–3515, 2020.
[6] Z. Zhao, S. Zhang, and Y. Zhang, “Design of intelligent lighting system based on IoT technology,” Int. J. Smart Home, vol. 12, no. 5, pp. 33–42, 2018.
[7] R. Wibowo and R. Lestari, "Preprocessing techniques for improving object detection in low-light conditions," J. Image Process. Comput. Vis., vol. 12, no. 2, pp. 67–74, 2023.
[8] Satria, B., dkk (2023). Monitoring Air Quality System Based on Smart Device Intelligent. Jurnal Ekonomi, 12(01), 1745-1752.
[9] Satria. B et al (2024) An Implementation Iot Weather Station Based On ESP 32. Jurnal Scientia, 13(04), 1453-1460.
(10) Wibowo P et al (2024) Pengembangan Charging System Untuk Kendaraan Listrik. Sinergi Multidisiplin Sosial Humaniora Dan Sains Teknologi, 1(1), 101-109.
[11] T. Indrawan and B. Susanto, "Performance analysis of IoT-based sensors for home automation," Procedia Comput. Sci., vol. 210, pp. 145–152, 2023.
[12] YH Kuo, CY Huang, and CH Lee, “Smart home automation for energy saving and security,” Energy Build., vol. 192, pp. 177–188, 2019.
[13] DD Santika and Z. Arifin, "Deep learning for real-time industrial automation: Challenges and solutions," J. Ind. Inf. Integr., vol. 38, p. 100456, 2024.
[14] A. Kurniawan and D. Setiawan, "IoT-based smart home monitoring using ESP32," J. Elektro Inform., vol. 7, no. 3, pp. 88–95, 2022.
[15] R. Firmansyah and Y. Pratama, "Real-time IoT notification system using MQTT protocol," J. IoT Appl., vol. 6, no. 1, pp. 33–40, 2024.
[16] LP Dewi and H. Nugroho, "Sensor integration in IoT-based home automation systems," J. Informatika, vol. 18, no. 4, pp. 200–208, 2023.
[17] R. Aditya and H. Santoso, "Real-time object detection and monitoring using IoT devices," J. Embedded Syst. Appl., vol. 15, no. 3, pp. 123–130, 2023.
[18] A. Budiarto and S. Rahayu, “IoT-based smart home system for energy efficiency,” J. Teknologi Industri, vol. 10, no. 2, pp. 45–53, 2024.
