
Development of a smart health monitoring system for elderly care
- 1 United International College Zhuhai
* Author to whom correspondence should be addressed.
Abstract
This paper describes an intelligent health monitoring system developed for detecting the health of the elderly. This paper introduces an intelligent health monitoring system used to detect the health status of the elderly. With the progress of mobile communication technology and the increasing demand for personal intelligence, wearable devices have become more and more popular products. The system can provide personalized services for the elderly, and also provide more comprehensive and accurate data support for medical staff, which is expected to play an important role in the future care of the elderly.
Keywords
Intelligence, Wearable, Bracelet, Medical
[1]. Wu, Y., Liu, Z., Zhou, J., & Feng, Z. (2019). A smart health monitoring system for elderly care based on IoT and big data analytics. Journal of Ambient Intelligence and Humanized Computing, 10(6), 2129-2141.
[2]. Bhattacharya, S., & Mondal, J. (2019). Smart health monitoring system for elderly care using IoT and machine learning. Wireless Personal Communications, 108(3), 1673-1687.
[3]. Cho, Y., Lee, J., & Kim, J. (2018). IoT-based smart health monitoring system for elderly patients. Journal of Medical Systems, 42(7), 129.
[4]. Li, Y., Li, L., Li, Z., Wang, X., & Yang, X. (2020). A smart wearable device for elderly care based on IoT and deep learning. IEEE Access, 8, 12860-12869.
[5]. Zhang, Y., Wu, J., Huang, L., & Wang, J. (2020). Smart healthcare monitoring system for elderly care using deep learning and IoT. Computer Networks, 183, 107366.
[6]. Maramis, C., & Khan, M. (2020). An IoT-based smart health monitoring system for elderly care. In 2020 IEEE Conference on Sensors Applications Symposium (SAS) (pp. 1-5). IEEE.
[7]. Al-Shargabi, M. A., & Al-Neama, N. A. (2021). Development and evaluation of an IoT-based smart health monitoring system for elderly care. International Journal of Advanced Computer Science and Applications, 12(1), 156-165.
[8]. Gao, Y., Xu, X., Liu, J., & Han, W. (2021). Design of a smart health monitoring system for elderly care based on cloud computing and internet of things. IEEE Access, 9, 54896-54908.
[9]. Pande, A., & Nambiar, R. (2021). A comprehensive review of smart health monitoring systems for elderly care. Health Information Science and Systems, 9(1), 1-23.
[10]. Lv, J., Zheng, X., Zhou, Z., Huang, X., & Qian, Y. (2021). A smart health monitoring system for elderly care based on edge computing and IoT. Journal of Ambient Intelligence and Humanized Computing, 12(9), 10179-10189.
Cite this article
Wang,J. (2024). Development of a smart health monitoring system for elderly care. Applied and Computational Engineering,45,29-34.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning
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