Development of An IoT-Based Heart Rate Monitoring System Using Android Application
DOI:
https://doi.org/10.21831/elinvo.v10i2.89724Keywords:
IoT-based heart monitoring, Real-time data acquisition, Cloud-integrated health system, Android application, Pulse sensor accuracy, Firebase databaseAbstract
Real-time heart rate monitoring plays an important role in early detection of cardiovascular anomalies. However, many existing IoT-based solutions still lack seamless integration of real-time sensing, cloud synchronization, and mobile visualization. This study develops and evaluates an IoT-based heart rate monitoring system using a pulse sensor, Arduino Uno, NodeMCU ESP8266, Firebase real-time database, and an Android application. Experimental testing involving six participants and 60 measurement samples demonstrates that the system achieves a high accuracy of 98.63% compared to a standard fingertip oximeter, with an average error rate of 1.37%, indicating reliable and stable performance. The system supports continuous data acquisition, real-time cloud storage, and mobile access, enabling users to view live and historical heart rate trends through the Android interface. The main contributions of this research include an end-to-end integrated IoT architecture for continuous monitoring, empirical validation of accuracy using a medical-grade comparator, and the provision of time-stamped cloud-based heart rate data for remote health monitoring. These findings confirm the feasibility and significance of IoT–mobile integration as an accessible solution for continuous cardiovascular monitoring.
References
[1] T. F. Bernadus, L. B. Subekti, and Y. Bandung, “IoT-based fall detection and heart rate monitoring system for elderly care,” Proceeding - 2019 International Conference on ICT for Smart Society: Innovation and Transformation Toward Smart Region, ICISS 2019, 2019, doi: 10.1109/ICISS48059.2019.8969845.
[2] M. Alruwaili et al., “A health monitoring system using IoT-based android mobile application,” Computer Systems Science and Engineering, vol. 47, no. 2, pp. 2293–2311, 2023, doi: 10.32604/CSSE.2023.040312.
[3] S. U. Rehman, I. Sadek, B. Huang, S. Manickam, and L. N. Mahmoud, “IoT-based emergency cardiac death risk rescue alert system,” MethodsX, vol. 13, no. April, p. 102834, 2024, doi: 10.1016/j.mex.2024.102834.
[4] Sahana S Khamitkar, “IoT based system for heart rate monitoring,” International Journal of Engineering Research and, vol. V9, no. 07, pp. 1563–1571, 2020, doi: 10.17577/ijertv9is070673.
[5] S. Sivanandan, V. Muthukumar, G. Suresh, and P. Anandan, “Integrated system for real-time health management in rural areas with medicine dispatcher box,” Proceedings of the 2nd International Conference on Edge Computing and Applications (ICECAA 2023), no. Icecaa, pp. 704–708, 2023, doi: 10.1109/ICECAA58104.2023.10212228.
[6] R. Latha, U. Arul, S. Dhanalakshmi, R. Ramya, and N. Mishra, “Cloud-based smart sensing system for real-time health management of dementia patients,” 2023 2nd International Conference on Smart Technologies for Smart Nation (SmartTechCon 2023), pp. 923–927, 2023, doi: 10.1109/SmartTechCon57526.2023.10391592.
[7] L. Catarinucci et al., “An IoT-aware architecture for smart healthcare systems,” IEEE Internet of Things Journal, vol. 2, no. 6, pp. 515–526, 2015, doi: 10.1109/JIOT.2015.2417684.
[8] G. Singh, N. Chaudhary, D. Ather, R. Kler, and M. Arora, “Revolutionizing remote healthcare: proposing an IoT & arduino-based integrated approach for real-time health monitoring,” 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM 2023), no. Iccakm, pp. 1–5, 2023, doi: 10.1109/ICCAKM58659.2023.10449530.
[9] N. S. Hammed and M. I. Owis, “An integrated health monitoring system,” 2015 International Conference on Advances in Biomedical Engineering (ICABME 2015), pp. 197–200, 2015, doi: 10.1109/ICABME.2015.7323286.
[10] G. Neagu, S. Preda, A. Stanciu, and V. Florian, “A cloud-IoT based sensing service for health monitoring,” 2017 E-Health and Bioengineering Conference, EHB 2017, pp. 53–56, 2017, doi: 10.1109/EHB.2017.7995359.
[11] D. Tiwari, D. Prasad, K. Guleria, and P. Ghosh, “IoT based smart healthcare monitoring systems: A review,” Proceedings of IEEE International Conference on Signal Processing,Computing and Control (ISPCC 2k21), vol. 2021-Octob, pp. 465–469, 2021, doi: 10.1109/ISPCC53510.2021.9609393.
[12] B. C. Kavitha, K. V. Reddy, U. J. Kumar, K. Sivakrishna, K. S. Sankaran, and G. Vimala Rani, “IoT based remote health monitoring system,” 2021 International Conference on Computational Performance Evaluation, (ComPE), pp. 209–212, 2021, doi: 10.1109/ComPE53109.2021.9751721.
[13] D. Putra and I. Fahruzi, “Design and implementation internet of medical things for heart rate monitoring system using arduino and GSM network,” Proceedings - 2021 International Seminar on Application for Technology of Information and Communication: IT Opportunities and Creativities for Digital Innovation and Communication within Global Pandemic (iSemantic 2021), pp. 48–53, 2021, doi: 10.1109/iSemantic52711.2021.9573244.
[14] T. Jagadesh, S. Rithik, B. Nithish Kumar, R. R. Pv, and R. Rithika, “IoT based health monitoring in hospitals,” Proceedings of 8th IEEE International Conference on Science, Technology, Engineering and Mathematics (ICONSTEM), pp. 1–5, 2023, doi: 10.1109/ICONSTEM56934.2023.10142416.
[15] C. Li, J. Wang, S. Wang, and Y. Zhang, “A review of IoT applications in healthcare,” Neurocomputing, vol. 565, no. May 2023, 2024, doi: 10.1016/j.neucom.2023.127017.
[16] E. Mbunge, B. Muchemwa, S. Jiyane, and J. Batani, “Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies,” Global Health Journal, vol. 5, no. 4, pp. 169–177, 2021, doi: 10.1016/j.glohj.2021.11.008.
[17] S. Akinola and A. Telukdarie, “Sustainable digital transformation in healthcare: advancing a digital vascular health innovation solution,” Sustainability (Switzerland), vol. 15, no. 13, 2023, doi: 10.3390/su151310417.
[18] P. Mishra and G. Singh, “Internet of medical things healthcare for sustainable smart cities: current status and future prospects,” Applied Sciences (Switzerland), vol. 13, no. 15, 2023, doi: 10.3390/app13158869.
[19] I. Inayah, H. Kiswanto, A. Dimyati, and M. G. Prasetia, “Design and implementation of non-contact infrared thermometer based MLX90614 and ultrasonic sensors,” Jurnal Fisika dan Aplikasinya, vol. 18, no. 2, p. 42, 2022, doi: 10.12962/j24604682.v18i2.10746.
[20] J. Park, H. S. Seok, S. S. Kim, and H. Shin, “Photoplethysmogram analysis and applications: An integrative review,” Frontiers in Physiology, vol. 12, no. March, pp. 1–23, 2022, doi: 10.3389/fphys.2021.808451.
[21] K. B. Kim and H. J. Baek, “Photoplethysmography in wearable devices: A comprehensive review of technological advances, current challenges, and future directions,” Electronics (Switzerland), vol. 12, no. 13, 2023, doi: 10.3390/electronics12132923.
[22] E. M. Dewi, D. Rahmawati, and N. W. Kirana, “Wireless photoplethysmography (PPG) measurement with pulse wave velocity (PWV) method for arterial stiffness evaluation,” Jurnal Rekayasa Elektrika, vol. 20, no. 1, pp. 1–5, 2024, doi: 10.17529/jre.v20i1.33486.
[23] M. Haryo, N. Arvika, and W. Latri, “Implementation of heart rate system using AD8232 and arduino microcontrollers,” Signal and Image Processing Letters (SIMPLE), vol. 2, no. 1, pp. 36–44, 2020.
[24] A. M.A Shakarji and A. Golcuk, “Arduino based system design for measuring heart rate and body temperature,” International Journal of Applied Mathematics Electronics and Computers, vol. 10, no. 1, pp. 15–19, 2022, doi: 10.18100/ijamec.1029843.
[25] Y. Yohana, M. R. Hidayat, Y. Y. Kusmala, and S. Sambasri, “Heart rate measurement system based on pulse sensors with pathophysiological appearance,” Article in Journal of Measurements Electronics Communications and Systems, vol. 05, no. December, pp. 15–19, 2019, doi: 10.25124/jmecs.v5i1.2049.
[26] M. Hamim, S. Paul, S. I. Hoque, M. N. Rahman, and I. Al Baqee, “IoT based remote health monitoring system for patients and elderly people,” 1st International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pp. 533–538, 2019, doi: 10.1109/ICREST.2019.8644514.
[27] I. Inayah, N. Hayati, A. Nurcholis, A. Dimyati, and M. G. Prasetia, “Realtime monitoring system of solar panel performance based on internet of things using blynk application,” Elinvo (Electronics, Informatics, and Vocational Education), vol. 7, no. 2, pp. 135–143, Feb. 2023, doi: 10.21831/elinvo.v7i2.53365.
[28] M. Roza Lia, H. Harmadi, and A. Muttaqin, “Development of measuring instruments for lung vital capacity and human respiratory rate based on fiber optic sensors,” Jurnal Ilmu Fisika | Universitas Andalas, vol. 15, no. 1, pp. 39–47, 2022, doi: 10.25077/jif.15.1.39-47.2023.
[29] S. F. Nasution, H. Harmadi, S. Suryadi, and B. Widiyatmoko, “Development of river flow and water quality using IoT-based smart buoys environment monitoring system,” Jurnal Ilmu Fisika, vol. 16, no. 1, pp. 1–12, 2023, doi: 10.25077/jif.16.1.1-12.2024.
[30] N. Dyanningrum, D. Zulherman, and H. Pujiharsono, “Analisis rancangan sistem pengukuran denyut nadi berbasis internet of things,” Proceedings on Conference on Electrical Engineering, vol. 1, no. 2, pp. 13–18, 2018.
[31] I. Anshari Putra, A. Ali Muayyadi, and D. Perdana, “Implementasi sistem monitoring detak jantung dan suhu tubuh menggunakan sensor pulse dan blynk application berbasis internet of things,” e-Proceeding of Engineering, vol. 8, no. 6, pp. 3116–3123, 2022.
[32] M. A. Saputro, “Implementation of a wireless heart rate and body temperature monitoring system,” Development of Information Technology and Computer Science, vol. 1, no. 2, pp. 148–156, 2017.
[33] J. W. Jeong, W. Lee, and Y. J. Kim, “A real‐time wearable physiological monitoring system for home‐based healthcare applications,” Sensors, vol. 22, no. 1, 2022, doi: 10.3390/s22010104.
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