Design of human heartbeat monitoring system based on wireless sensor networks
DOI:
https://doi.org/10.31358/techne.v22i2.354Keywords:
wireless sensor networks, internet of things, heartbeat sensorAbstract
The IoT technology plays an important role in Industry 4.0 revolution. The IoT technology has potential to be implemented in the medical industry, especially for the development of telemedicine system. IoT able to send the medical sensor data wirelessly to the nearest medical facility like hospital. In this research, the author designed the heart beat monitoring system by using 802.11 communication protocol and simple web interface. The pulse sensor that used in this research was able to read the pulse rate of the human and convert it to BPM (beat per minute). It has 98.89% accuracy and 1.11% error compared to the smartwatch result. In the other hand, ESP-32 also implemented as the microcontroller as well as the sensor node of the system. It was able to send the data wirelessly from sensor node to the coordinator node. The coordinator node was also able to fetch the sensor data into the database using POST and GET method and then visualize the sensor data over web interface so the other users are able to see the visualization of the sensor data.
Downloads
References
. M. Wollschlaeger, T. Sauter, and J. Jasperneite, “The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0,” IEEE industrial electronics magazine, 11(1), 17-27, 2017.
. A. J. Bokolo, “Application of telemedicine and eHealth technology for clinical services in response to COVID?19 pandemic,” Health and Technology, 11(2), 359-366, 2021.
. R. P. Singh, M. Javaid, A. Haleem, and R. Suman, “Internet of things (IoT) applications to fight against COVID-19 pandemic,” Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524, 2020.
. T. Wu, F. Wu, J. M. Redoute, and M. R. Yuce, “An autonomous wireless body area network implementation towards IoT connected healthcare applications,” IEEE access, 5, 11413-11422, 2017.
. E. Guillén, J. Sánchez, and L. R. López, “IoT protocol model on healthcare monitoring,” VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th-28th, 2016 (pp. 193-196), Springer, Singapore, 2017.
. Q. A. H. H. Rohman and N. S. Salahuddin, “Rancang Bangun Prototipe Mobil Penjelajah Dengan Kendali Jarak Jauh Melalui Jaringan Wi-Fi Berbasis Antarmuka Web,” Teknika, 7(1), 1-7, 2018.
. Q. Zhang, “Web-based medical data visualization and information sharing towards application in distributed diagnosis,” Informatics in Medicine Unlocked, 14, 69-81, 2019.
. Q. A. Hidayaturrohman, P. Yuliantoro, and R. Rizal, “VISUALISASI DATA SENSOR PADA SISTEM PEMANTAUAN SUHU DAN KELEMBABAN RUANGAN BERBASIS ANTARMUKA WEB,” Bina Teknika, 16(2), 73-77, 2021.
. L. Shkurti, X. Bajrami, E. Canhasi, B. Limani, S. Krrabaj, and A. Hulaj, “Development of ambient environmental monitoring system through wireless sensor network (WSN) using NodeMCU and “WSN monitoring”,” 6th Mediterranean Conference on Embedded Computing (MECO), pp. 1-5, IEEE, 2017.
. M. Islam and A. Rahaman, “Development of smart healthcare monitoring system in IoT environment,” SN computer science, 1(3), 1-11, 2020.
. H. Kemis, N. Bruce, W. Ping, T. Antonio, L. B. Gook, and H. J. Lee, “Healthcare monitoring application in ubiquitous sensor network: Design and implementation based on pulse sensor with Arduino,” 6th International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM2012), pp. 34-38, IEEE, 2012.
. D. Glaroudis, A. Iossifides, and P. Chatzimisios, “Survey, comparison and research challenges of IoT application protocols for smart farming,” Computer Networks, 168, 107037, 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Qisthi Alhazmi Hidayaturrohman, M. Arifudin Lukmana, Akhmad Nidhomuz Zaman
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.