Design and Development of a Wearable Device for Multi-Parametric Human Health Monitoring
DOI:
https://doi.org/10.4108/eetiot.7025Keywords:
Wearable device, Node MCU ESP-32, Real-time monitoring, Sensing technologies, Vital signsAbstract
INTRODUCTION: Wearable technology has emerged as a promising tool for continuous health monitoring, offering potential disease prevention and management benefits. However, existing devices often provide limited physiological data, hindering comprehensive health assessments.
OBJECTIVES: This study aims to design and develop a wearable device capable of multi-parametric human health monitoring, focusing on vital indicators such as heart rate, body temperature, and physical activity.
METHODS: A modular design approach was employed to integrate multiple biosensors into a compact wearable device. The collected data was processed by a microcontroller and transmitted wirelessly to a server.
RESULTS: The developed wearable device demonstrated accurate and reliable measurement of target health parameters, with results comparable to existing prototypes in terms of functional capabilities.
CONCLUSION: The proposed wearable device holds significant potential for enhancing personal health management by providing comprehensive and real-time health data. Future research will focus on expanding the device's capabilities, improving battery life, and conducting long-term user trials.
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[1] H. N. , R. D. Harshad Narayan , Rijhi Dey, “A Heartbeat Detection Method Based On IOT and Monitoring System using Arduino Uno and Thing-Speak,” Int. J. Electron. Commun. Instrum. Eng. Res. Dev., vol. 8, no. 3, pp. 11–16, 2018, doi: 10.24247/ijecierdaug20182.
[2] B. Singh, S. Urooj, S. Mishra, and S. Haldar, “Blood pressure monitoring system using wireless technologies,” Procedia Comput. Sci., vol. 152, pp. 267–273, 2019, doi: 10.1016/j.procs.2019.05.017.
[3] D. J. Rahman and Asadujjaman, “An Internet of Things ( IoT ) Based Cardiac Monitoring System Using the RFID and Mobile- Based Application,” Int. J. Adv. Trends Comput. Appl., vol. 6, no. 1, pp. 11–17, 2019.
[4] A. J. A. Majumder, Y. A. Elsaadany, R. Young, and D. R. Ucci, “An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest,” Adv. Human-Computer Interact., vol. 2019, 2019, doi: 10.1155/2019/1507465.
[5] K. Grewal Dangi, M. Yadav, and S. Malhotra, “Health care monitoring system an application of IOT using WI-FI,” Int. J. Eng. Technol., vol. 7, no. 4.5, p. 560, 2018, doi: 10.14419/ijet.v7i4.5.21157.
[6] A. B. Tushar, F. R. Iqbal, S. G. Ananda, N. Hassan, and S. R. Ahona, “Web-Based Health Monitoring System and Textual Mining,” 2021.
[7] R. Manjupriya, T. Jayabharathi, A. K. Sowmya, P. Dharani, and S. Nandhini, “An IoT based SMART patient health monitoring system,” J. Emerg. Technol. Innov. Res., vol. 11, no. 2, pp. 693–696, 2024, doi: 10.11591/ijeecs.v18.i3.pp1657-1664.
[8] S. Mishra, “Human Health Monitoring System,” vol. 2, no. 5, pp. 727–737, 2022, doi: 10.48175/IJARSCT-4127.
[9] K. N. Swaroop, K. Chandu, R. Gorrepotu, and S. Deb, “A health monitoring system for vital signs using IoT,” Internet of Things (Netherlands), vol. 5, pp. 116–129, 2019, doi: 10.1016/j.iot.2019.01.004.
[10] A. Kumar, G. Chattree, and S. Periyasamy, “Smart Healthcare Monitoring System,” Wirel. Pers. Commun., vol. 101, no. 1, pp. 453–463, 2018, doi: 10.1007/s11277-018-5699-0.
[11] R. Rahman, S. Sanshi, and N. N. Ahmed, “Health Monitoring and Predicting System using Internet of Things & Machine Learning,” in 7th International Conference on Advanced Computing and Communication Systems, 2021, no. January. doi: 10.1109/ICACCS51430.2021.9441856.
[12] K. Nosirov, S. Begmatov, and M. Arabboev, “Design of a model for multi-parametric health monitoring system,” International Conference on Information Science and Communications Technologies, ICISCT 2020. pp. 1–5, 2020. doi: 10.1109/ICISCT50599.2020.9351522.
[13] F. Wu, T. Wu, and M. R. Yuce, “An internet-of-things (IoT) network system for connected safety and health monitoring applications,” Sensors (Switzerland), vol. 19, no. 1, 2019, doi: 10.3390/s19010021.
[14] M. Chen, Y. Ma, Y. Li, D. Wu, Y. Zhang, and C. H. Youn, “Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems,” IEEE Commun. Mag., vol. 55, no. 1, pp. 54–61, 2017, doi: 10.1109/MCOM.2017.1600410CM.
[15] A. M. Rahmani et al., “Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach,” Futur. Gener. Comput. Syst., vol. 78, pp. 641–658, 2018, doi: 10.1016/j.future.2017.02.014.
[16] B. Farahani, F. Firouzi, V. Chang, M. Badaroglu, N. Constant, and K. Mankodiya, “Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare,” Futur. Gener. Comput. Syst., vol. 78, pp. 659–676, 2018, doi: 10.1016/j.future.2017.04.036.
[17] Rashed et al., “Integrated IoT Medical Platform for Remote Healthcare and Assisted Living,” in Proceedings of the 2017 Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC), 2017, pp. 160–163.
[18] H. J. M. Mohammed, “IoT-Based Low-Cost Smart Health Monitoring System using Raspberry Pi Pico W and Blynk Application,” J. Eng., vol. 30, no. 7, pp. 90–108, 2024, [Online]. Available: http://digital-library.theiet.org/content/journals/10.1049/joe.2017.0760
[19] H. Moustafa, E. M. Schooler, G. Shen, and S. Kamath, “Remote monitoring and medical devices control in eHealth,” Int. Conf. Wirel. Mob. Comput. Netw. Commun., vol. 2016-Janua, 2016, doi: 10.1109/WiMOB.2016.7763177.
[20] M. Al-khafajiy et al., “Remote health monitoring of elderly through wearable sensors,” Multimed. Tools Appl., 2019, doi: 10.1007/s11042-018-7134-7.
[21] J. Wan et al., “Wearable IoT enabled real-time health monitoring system,” Eurasip J. Wirel. Commun. Netw., vol. 2018, no. 1, Dec. 2018, doi: 10.1186/s13638-018-1308-x.
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